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About Data Analyst Course

  • About the Data Analyst course developed in collaboration with IBM

    This Data Analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this Data Analytics course, you will learn the latest analytics tools and techniques, how to work with SQL databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

    This joint partnership between Simplilearn and IBM introduces students to an integrated Blended Learning approach, making them experts in data analysis. This Data Analytics certification course, in collaboration with IBM, will help students become industry-ready for top data analyst job roles.

  • What can I expect from Simplilearn's Data Analytics Courses?

    Upon completion of Simplilearn’s Data Analyst Courses online, you will receive IBM certificates for the IBM courses and Simplilearn certificates for all the courses in the learning path. These certificates will testify for your skills and assert your Data Analytics expertise. You can also avail the following benefits as part of this Data Analytics certification course:

    • Masterclasses by IBM experts
    • Ask Me Anything sessions with IBM leadership
    • Exclusive Hackathons conducted by IBM
    • Industry-recognized Data Analyst Master’s certificate from Simplilearn

  • What are the Data Analyst course learning objectives?

    Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.

    This Data Analyst course is designed to help those currently employed in the non-technical workforce learn work-ready data analytics skills easily. Those with a basic understanding of mathematical concepts and with the intent to learn programming and other required skills will be able to complete the Data Analytics certification course and be on their way to becoming Data Analyst.

    This Data Analyst course offers a comprehensive course curriculum combining live-online instructor-led classes and self-paced learning videos. The learning experience seamlessly melds theoretical data analytics concepts with hands-on demos and projects. This Data Analyst course concludes with a capstone project designed to reinforce the learning by building an industry-relevant product encompassing all the key aspects learned over the course. The skills acquired through this Data Analyst training will prepare you for the role of a Data Analyst.

  • Why become a Data Analyst?

    The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

    The fact is that professionals who enter the Data Analytics field now will have their pick of jobs and enjoy lucrative salaries. Future of Jobs Report 2020 estimates that, by 2025, 85 million jobs may be displaced by a shift in the division of labor between humans and machines. Roles growing in demand include data analysts and scientists, AI and machine learning specialists, robotics engineers, software and application developers, and digital transformation specialists.

    The facts are that professionals who enter the Data Analytics field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for Data Analysts in finance, insurance, and information technology. Data Analysts earn an average pay of $67,377 in 2019 according to Glassdoor .

  • What is the total duration of Data Analyst course?

    The Data Analyst course can be completed in around 12 months if you dedicate a few hours daily to learning.

  • What projects are included in this Data Analyst course?

    This Data Analytics certification course includes 20+ real-life, industry-based projects in different domains to help you master various concepts in data analytics.

    Capstone Project:

    You will go through dedicated mentor classes in order to create a high-quality industry project, solving an industry-relevant problem by leveraging the skills and technologies learned throughout the program. The capstone project will cover all the key aspects of data analytics - from data extraction, cleaning, and visualization to model building and tuning. You also get to choose the domain/industry dataset you want to work on from the options available.

    After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning and expertise.

    Course End Projects

    Projects that mimic business problems to help apply the concepts learned during a specific course. Typically these projects take 3 - 4 hours to complete.

    Projects are as follows:


    Domain: Technology

    The Google Play Store team is launching a new feature that boosts the visibility of certain promising apps. This boost will manifest in multiple ways, including being displayed as a higher priority in the recommendations sections. Make a model predict the app rating, with other information about the app provided.


    Domain: Telecommunications

    Comcast is an American global telecommunication company. The firm has been providing terrible customer service and they continue to fall short despite repeated promises of improvement. Utilize the existing database of customer complaints as a repository to find a solution to improving customer satisfaction.


    Domain: E-commerce

    An online e-commerce company wants to design a sales dashboard to analyze sales based on various product categories. The company wants to make it easier for users to select the products they are looking for and consequently improve sales. Help users select and review information about the products they are c onsidering.


    Domain: Geo-political

    Create a dashboard to do a comparative study of different countries on various parameters using the sample insurance data set and world development indicators data set.


    Domain: Retail

    Build a dashboard that shows monthly sales performance by product segment and product category to help clients identify the segments and categories that have met, exceeded, or failed their sales targets.


    Domain: Manufacturing

    A high-end fashion retail store is looking to expand its product line. It wants to understand the market and find the current trends in the industry. Automate the recommendations of the attributes of the products, predict sales trends, understand the factors impacting sales, and regularize the rating procedure of the product with the given data sets.


    Domain: Education

    Every year, thousands of applications are submitted by international students for admission to colleges in the U.S. It becomes an iterative task for the Education Department to know the total number of

    applications received and then compare that data with the total number of applications successfully accepted and visas processed. Hence, to make the entire process easy, the education department in the U.S. needs to analyze the factors that influence the admission of a student into colleges.


    Domain: Food

    A restaurant consolidator is looking to revamp the B2C portal using intelligent automation technology. This requires creating two different matrices to identify “high-star” restaurants and generate recommendations. To create an effective model, it is critical to understand the behavior of the

    consumers who are generating the data. You are required to create reports on the top-rated restaurants, generate recommendations by inspecting data and utilizing exploratory data analysis and share your findings with all stakeholders through intuitive dashboards.


    Domain: Banking

    Financial institutions incur significant losses due to defaults on vehicle loans. This has led to the tightening up of vehicle loan underwriting and increased loan rejection rates. The need for a better credit risk scoring model among these institutions is evident. This warrants a study to estimate the determinants of vehicle loan default rates. Determine and examine factors that affect the ratio of vehicle loan defaulters. Also, use the findings to create a model to predict potential defaults on agreements.


    Domain: Healthcare

    Cardiovascular diseases are one of the leading causes of death globally. Identifying the causes and developing a system to predict potential heart attacks in an effective manner is critical. The data presented has all the information about relevant factors that might have an impact on cardiovascular health. The data needs to be studied in detail for further analysis. Determine and examine the factors that play a significant role in increasing the rate of heart attacks. Also, use the findings to create and predict a model.

  • What is the typical syllabus for Data Analytics certification course?

    Data analytics is one of the trending career domains at present. You can take an online course to learn data analytics from scratch. When selecting a reliable certification course, ensure that its syllabus includes all the important concepts helpful in a data analyst job.

    The Data Analytics course syllabus includes topics like analytics tools and techniques, Python or R programming, descriptive statistics, inferential statistics, working with SQL, data blending, hypothesis testing, data extraction, and regression analysis, among others. The Data Analytics course syllabus also includes knowledge of tools like MS Excel, Power BI, NumPy, and Tableau.

  • What is the career path for a Data Analyst?

    Stepping into the field of data analysis can open your doors to plenty of job opportunities. You may begin as a junior data analyst and climb up the career ladder with roles like senior analyst, data scientist, analytics manager, data architect, and even Chief Data Officer. Conversely, you can take up managerial roles or consultant jobs rather than the usual career track.

  • What skills will you learn in this Data Analytics certification course?

    The learning path in this Data Analyst course is specifically designed to give you the skills you need to be successful in data analytics and help you obtain a competitive edge. By the end of this Data Analytics certification course training, you will:

    • Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
    • Master SQL concepts such as Universal Query Tool and SQL command
    • Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
    • Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
    • Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
    • Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
    • Perform data analytics using popular Python libraries
    • Gain insights into several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
    • Gain an in-depth understanding of the basics of R, and learn how to write your own R scripts
    • Master R programming and understand how various statements are executed in R
    • Understand and use linear and non-linear regression models and classification techniques for data analysis
    • Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
    • Gain a foundational understanding of business analytics using Excel
    • Get introduced to the latest Microsoft analytics and visualization tools (Power BI)
    • Grasp the concepts of Tableau Desktop 10, and become proficient in Tableau statistics and building interactive dashboards
    • Become an expert on visualization techniques such as heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis

  • Who should enroll for Data Analytics Courses?

    Aspiring professionals from all educational backgrounds and with an analytical frame of mind are best suited to pursue Data Analytics courses. This includes:

    • IT professionals
    • Banking and finance professionals
    • Marketing managers
    • Sales professionals
    • Supply chain network managers
    • Beginners in the data analytics domain
    • Students in UG/ PG programs

  • What are the job opportunities upon completing this Data Analytics certification course?

    Upon completing the Data Analytics certification course, you will have the data analytics skills necessary to get your dream job in the data analytics space. Apart from Data Analyst, other jobs titles include:

    • Data Analytics Manager/Lead
    • Business Analyst/Senior Business Analyst
    • Business Intelligence Analyst
    • Business Intelligence Engineer
    • Various managerial roles

Tools Covered

Microsoft Excel NumPy pandas SciPy power bi python R tableau MySQLFSD

Data Analyst Training Learning Path

  • Course 1

    Introduction to Data Analytics Course

    Simplilearn’s Data Analytics courses will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.

    Read More
  • Course 2

    Business Analytics with Excel

    Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.

    Read More
  • Course 3 Online Classroom Flexi Pass

    Programming Basics and Data Analytics with Python

    Learn how to perform Data Analytics with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn. These Data Analytics courses will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.

    Read More
  • Course 4 Online Classroom Flexi Pass

    Tableau Training

    This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.

    Read More
  • Course 5

    Data Analyst Capstone

    Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.

    Read More
  • Master's Program Certificate

  • Electives

    Power BI

  • Electives

    Programming Refresher

  • Electives

    R Programming for Data Science

  • Electives

    Data Science with R Programming

  • Electives

    SQL Training

  • Electives

    Industry Master Class – Data Analytics

Get Ahead with Simplilearn's Master Certificate

Get Ahead with Simplilearn's Master Certificate

Earn your Data Analyst course certificate

Our Data Analytics courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and Data Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about your Data Analyst certificate on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.

Data Analyst Course

Data Analytics Course Reviews

  • Vinay Salve

    Vinay Salve

    Data Science and Business Analytics

    I'm happy to share that I have completed my Master's program in Data Analysis and Business Analytics with Simplilearn. It was a fantastic learning experience, and I would like to thanks Simplilearn for letting me acquire this new skill. I'm also glad that I have come across several new connections.

  • Ravi Chandra

    Ravi Chandra

    Package Solution Consultant (Cognos BI) at IBM Global Services

    The course was excellent. Appreciate the trainer's capability to answer all the queries. Thanks to Simplilearn for such good course content.

  • Manish Beniwal

    Manish Beniwal

    Advisor Reporting - Global Mobility at Rio Tinto

    I am a Data Analyst with 7 years of work experience, but I didn't have the chance to work with Statistics. So I enrolled in this course. It's a good course even for beginners. Overall, the training is very good. Thank you Simplilearn.

  • Amol B

    Amol B

    Associate Manager at Firepro Systems

    Simplilearn is an awesome learning platform. The course content is very well designed, and the live classes have personal attention in resolving the doubts. Thanks, Simplilearn.

  • Gayathri Ramesh

    Gayathri Ramesh

    Associate Data Engineer

    The course was well structured and curated. The live classes were extremely helpful. They made learning more productive and interactive. The program helped me change my domain from a data analyst to an Associate Data Engineer.

  • Hariharan Krishnaswamy

    Hariharan Krishnaswamy

    I was working as a business analyst at HCL. The Simplilearn course taught me to think about the bigger picture. The learnings from this course have helped me enhance my performance at work and gain a mid-term increase in my salary.

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Why Online Bootcamp

  • Develop skills for real career growth Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainers Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problems Capstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops 24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Data Analytics Certification FAQs

  • What is Data Analytics?

    Data Analytics is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions, most of which are covered in the Data Analytics Courses.

  • What does a Data Analyst do?

    Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyser also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.

  • What industries use Data Analytics most?

    Some of the top industries using data analysis include Data Assurance, Retail, Finance, Entertainment, Government and Public sector, Higher Education, Sharing economy services, Sales & Marketing, Agriculture, Business Intelligence, Healthcare, and Data Quality. With the Data Analytics certification training, you can develop job-ready skills to start in this in-demand career.

  • Which all companies hire Data Analysts?

    There is undoubtedly great demand for data analytics as 96% of organizations seek to hire Data Analysts. The most significant data analyst companies that employ graduates who wish to have a data analyst career are Manthan, SAP, Oracle, Accenture Analytics, Alteryx, Qlik, Mu Sigma Analytics, Fractal Analytics, and Tiger Analytics. Professional Data Analyst training will make you become a magician of any organization, and you will spin insights by playing with big data.

  • What are the top skills required for Data Analysts?

    Many analyst roles are pretty nuanced, and therefore, it is hard to determine which skills are needed significantly. Data Analyst course is an increasingly worthwhile investment and helps you secure the right skills with better pay. Some of the top skills required for data analysts are:

    • Structured Query Language (SQL)
    • MATLAB
    • R or Python-Statistical Programming
    • Microsoft Excel
    • Data Visualization
    • Data Cleaning
    • Presentation Skills
    • Critical Thinking
    • Machine Learning
    • Linear Algebra and Calculus

  • What kind of careers can you pursue with a background in Data Analysis?

    Career openings are available practically from all industries, from telecommunications to retail, banking, healthcare, and even fitness. Without extensive training and effort, it isn't easy to get data analyst career benefits. So, earning our Data Analytics certification course training will allow you to keep up-to-date on recent trends in the industry.

  • Can a fresh graduate seek employment after completing this Data Analyst course?

    Because the profession is vital to business development, most companies require a data analyst, and new graduates also have excellent job opportunities. If you aim to become more competitive, then it is worth earning the Data Analyst course. Explore your educational opportunities and start creating a solid basis for data analyst skills.

  • What are the eligibility criteria for the Data Analyst course?

    The Data Analyst course is best suited for aspiring professionals of any educational background with a framework, including:

    • IT experts
    • Professionals of banking and finance
    • Marketing managers
    • Sales representatives
    • Supply chain network managers
    • Freshers in the field of data analytics
    • Students in UG/PG courses

  • What are the prerequisites for pursuing this Data Analyst course?

    Professionals who would like to successfully complete this Data Analyst course should have basic mathematical knowledge and problem-solving skills.

  • How do I become a Data Analyst?

    This Data Analyst course developed in collaboration with IBM will give you sufficient insights into data analysis tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analytics certification course online will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and Data Visualization with Tableau Desktop 10.

  • What is the average salary of a Data Analyst?

    Although data analysts are well-paid worldwide and exponential demand for data analysts will never decline, data analysts' salaries vary in different sectors and nations. Data analysts' salaries depend on their skills, experience, company & location. Our Data Analyst course helps you achieve a higher salary, expertise, and skills to succeed in this lucrative growing profession. The average annual salary in top countries is:

  • How to learn Data Analytics?

    Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Program to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.

  • What are the modules covered in this Data Analytics course?

    This Data Analytics certification course consists of the following modules:

    • Introduction to Data Analytics
    • Business Analytics with Excel
    • Programming Basics and Data Analytics with Python
    • Tableau
    • Power BI
    • Data Analytics with Python
    • Data Science with R Programming
    • Data Analyst Capstone

  • Will this course help me to start my career as Data Analyst?

    Yes, anyone embarking on a career as Data Analyst can take these Data Analytics courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.

  • Why should I consider starting a career as a Data Analyst?

    If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analytics certification course to develop the necessary skills to be successful.

  • What programming knowledge is necessary for this Data Analyst training?

    This Data Analytics certification course is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.

  • How does this course qualify me as a Data Analyst?

    This Data Analyst training gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The Data Analytics certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.

  • What can I expect from this Simplilearn Data Analytics certification developed in collaboration with IBM?

    Upon completion of this Data Analyst training, you will receive the certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analytics. You will also receive the following:

    • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM (for IBM – Data Analytics courses) and Simplilearn upon successful completion of the program
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • For which all courses will I get certificates from IBM?

    Following is the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Programming Basics and Data Analytics with Python

  • Is this Data Analytics certification course conducted online? Do I need to attend any physical classes?

    Yes, our Data Analyst course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.

  • How do I earn the Master's certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.

    Course Course completion certificate Criteria
    Introduction to Data Analytics Required 85% of Online Self Paced completion
    Data Analytics with Python Required 85% of Online Self Paced completion
    Data Science with R Required 85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project
    Business Analytics with Excel Required 85% of online self-paced completion  and successful evaluation in at least one project
    Tableau Desktop 10 Training Required 85% of online self-paced completion  OR attendance of one live virtual class and successful evaluation of at least one project
    Power BI Required 85% of Online Self Paced completion
    Data Analyst Capstone Required Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

  • Do I need to complete the Data Analytics courses in a specific order?

    Simplilearn’s Data Analytics certification course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.

  • How do I enroll for the Data Analytics certification course?

    You can enroll in this Data Analytics training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy .

  • I am not able to access the Data Analytics courses. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.

  • Who will teach this Data Analyst course?

    All of our highly qualified Data Analyst course trainers are business intelligence industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as Data Analyst in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analytics course with us.

  • Do you offer any university partnered program in Data Analytics?

    Yes, Simplilearn provides a Professional Certificate Program in the Data Analytics in partnership with Purdue University. The Professional Certificate Program in the Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.

  • What book do you suggest reading for Data Analysis?

    It's essential for potential and existing data professionals to stay updated with the latest trends with the industry's most relevant data analyst training and informational material. The books below allow any reader to grasp the power and use of data.

    • Data Analytics Made Accessible: 2020 Edition - (By Anil K. Maheshwari, Ph.D.)
    • Business unIntelligence: Insight and Innovation beyond Analytics and Big Data - (By Dr. Barry Devlin)

  • What are the other courses offered by simplilearn in Data science and Artificial Intelligence Domain?

  • What qualifications do I need to be a data analyst?

    You typically need a combination of education and experience in data analysis, statistics, and computer science. Here are some qualifications that can help you become a data analyst:

    • A degree in a related field, such as mathematics, statistics, computer science, economics, or engineering.
    • Strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools.
    • Proficiency in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.
    • Knowledge of machine learning and artificial intelligence is an advantage, as data analysts are increasingly expected to use these technologies to extract insights from data.
    • Strong communication and presentation skills, as data analysts often need to explain their findings to non-technical stakeholders.
    • Experience in a specific industry or domain is an advantage, as it can help data analysts understand the context and business value of their work.

  • Which course is best for data analyst?

    Try out the data analyst course . You will become a master of data analytics after taking this IBM-sponsored Data Analyst course. This course on data analytics covers the newest analytics tools and techniques, R and Python programming, SQL database administration, the art of data visualisation, and the use of statistics and predictive analytics in a business context.

  • Is data analyst a hard job?

    Being a data analyst can be challenging as it requires a combination of technical and analytical skills, but it also can be a rewarding job. The job of a data analyst involves analyzing and interpreting large amounts of data, and using that information to help organizations make better decisions.

    Data analysts need to have strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools. They also need to be proficient in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.

    The job can be challenging because data analysts need to be able to work with large and complex data sets, and must be able to extract insights and make sense of the data. They also need to be able to communicate their findings to non-technical stakeholders and make recommendations based on the data.

  • Is Simplilearn certificate valuable?

    Simplilearn is a well-known provider of online education and training programs in a wide range of subjects, including data analysis, machine learning, and artificial intelligence. Whether a Simplilearn certificate is valuable depends on a variety of factors such as the quality of the course, the level of the certification, and the employer's perspective on the certification.

    Simplilearn provides a wide range of courses and certifications, and they have a good reputation in the online education space. They partner with industry experts and have a good curriculum, which can be valuable for professionals looking to gain new skills or advance their careers.

  • What's unique about the Data analyst course?

    You will obtain IBM credentials for the IBM courses and Simplilearn certifications for every course in the learning path after completing Simplilearn's online data analyst courses. These credentials will attest to your abilities and demonstrate your knowledge of data analytics. The following advantages are also available to you as part of this Data Analytics certification program:

    • Expert-led master courses from IBM
    • Exclusive Hackathons run by IBM Industry-recognized Data Analyst Master's credential from Simplilearn Ask Me Anything sessions with IBM leadership

  • What is the average salary a learner can expect after the Data Analysis course completion?

    The salary for a data analyst can vary depending on factors such as location, industry, and level of experience. On average, data analysts in the United States can earn a median salary of around $68,000 per year, with top earners making over $120,000 per year. It's important to note that these are approximate numbers and the actual salary can vary greatly.

  • What is the learning format for the Data Analytics courses?

    • Simplilearn typically offer a combination of live online classes, self-paced online learning, and hands-on projects or assignments.
    • Live online classes are led by an instructor and are held at a scheduled time. These classes may be interactive and allow for real-time questions and discussions.
    • Self-paced online learning allows students to complete the course material at their own pace, within a certain timeframe. This may include pre-recorded video lectures, quizzes, and other interactive elements.
    • Hands-on projects or assignments may include real-world case studies, data analysis exercises, and other activities that allow students to apply what they have learned.
    • It's important to check the data analytics course details and syllabus before enrolling to get more information about the learning format.

  • What projects would a learner be working on?

    A data analyst learner may work on various projects, depending on the course or program they are enrolled in. Some common types of projects that data analyst students may work on include:

    • Data cleaning and preprocessing: This project may involve working with raw data to prepare it for analysis by cleaning, transforming, and formatting it.
    • Exploratory data analysis: This project may involve using visualization and statistical techniques to understand the main characteristics of a dataset and identify patterns or trends.
    • Predictive modeling: This project may involve using machine learning algorithms to build models that can predict outcomes based on historical data.
    • Business case studies: This project may involve applying data analytics techniques to solve real-world business problems, such as identifying key drivers of customer churn or optimizing marketing campaigns.
    • Big Data projects: This project may involve working with large datasets, distributed computing, and data processing tools like Hadoop, Spark, Hive, and Pig.
    • Dashboarding and Reporting: This project may involve creating interactive dashboards and reports to communicate insights and findings to stakeholders.

    It's important to check the course details and syllabus before enrolling to get more information about the projects that will be covered.

  • Are Data Analytics Course recordings provided after course completion?

    Yes, you get the recordings of all the classes so that you can revise and watch the content whenever you want! So, don't worry as you all will have lifetime access to the data analyst course.

  • What technical skills are needed for this data analytics course?

    Since these languages are frequently used for data modification and analysis, knowledge of programming languages like Python or R is frequently necessary for data analytics. For retrieving and altering data contained in databases, an understanding of SQL is essential. For the purpose of developing interactive visuals that can assist in explaining results to stakeholders, knowledge of data visualization tools like Tableau, Power BI, or ggplot is crucial. Understanding and interpreting data requires a working knowledge of statistical methods including regression analysis, correlation analysis, and hypothesis testing. Even if you are unfamiliar with any of them, you should still enroll in the course since it will help you develop these skills so that you may succeed in the data analytics course.

  • Is the data analyst career a promising one?

    Data analysis is a promising career field. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals who can collect, process, and analyze that data to extract valuable insights. According to the Bureau of Labor Statistics (BLS), employment of data analysts and data scientists is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.