Data Science course
, in collaboration with IBM, accelerates your career in Data Science and provides you with the world-class training and skills required to become successful in this field. This course offers extensive training on the most in-demand Data Science and Machine Learning skills with hands-on exposure to key tools and technologies, including Python, R, Tableau, and concepts of Machine Learning.
Become a Data Scientist
by diving deep into the nuances of data interpretation, mastering technologies like Machine Learning, and mastering powerful programming skills to take your career in Data Science to the next level.
This joint partnership between Simplilearn and IBM introduces students to an integrated blended learning approach, making them experts in data science. This Data Science course, in collaboration with IBM, will help students become industry-ready for top data scientist job roles.
Simplilearn’s Data Science course is ranked as the best online program by Career Karma .
Upon completion of this Data Science course , you will receive IBM certificates for the IBM courses and Simplilearn certificates for all the courses in the learning path. These certificates will testify to your skills and assert your Data Science expertise. You can also avail the following benefits as part of this course:
Data Scientist is one of the hottest professions of this year. The United States Bureau of Labor Statistics sees unprecedented growth in data science and predicts 11.5 million job openings in 2026 at an annual growth rate of 28%. Simplilearn's Data Science course, co-developed with IBM, encourages you to master job-critical skills, including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, recommendation engine, supervised and unsupervised learning and much more.
This Data Scientist course offers a comprehensive curriculum combining live-online instructor-led classes and self-paced learning videos co-developed with IBM. This Data Science training concludes with a Capstone project designed to reinforce the learning by building an industry-relevant product encompassing all the key aspects learned in the training program. The skills learned in this Data Science course will help prepare you for the role of a Data Scientist.
A Data Scientist is a top-ranking professional in any organization. Glassdoor ranks Data Scientist 3rd in the 50 Best Jobs for 2022. Data Scientists are scarce and in high demand in today's ever-changing market. As a Data Scientist, you must understand business problems, design data analysis strategies, collect, cleanse, and structure the required data, apply algorithms and techniques using the right tools, and make recommendations backed by data.
In this Data Science course , you will:
Data Science training
includes 25+ industry-relevant projects from various domains to help you master concepts of Data Science. A few of the projects that you will be working on are mentioned below:
In this Data Science course, You will go through dedicated mentor classes to create a high-quality industry project, solving an industry-relevant problem by leveraging the skills and technologies learned throughout the Data Science online course. The capstone project will cover all the key data extraction, cleaning, and visualization aspects to build and tune data models. You also can choose the domain/industry dataset you want to work on from the available options.
After successfully submitting the project, you will be awarded a capstone certificate for Data Science that can be showcased to potential employers as a testament to your learning.
Course End Projects:
Projects that mimic real-world 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:
BUILDING A USER-BASED RECOMMENDATION MODEL FOR AMAZON
The dataset provided contains movie reviews given by Amazon customers. Perform data analysis on the Amazon customer movie reviews dataset and build a machine learning recommendation algorithm that provides the ratings for each user.
COMCAST TELECOM CUSTOMER COMPLAINTS
Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Utilize the existing database of customer complaints as a repository to improve customer satisfaction.
MERCEDES-BENZ GREENER MANUFACTURING
Reduce the time a Mercedes-Benz spends on the test bench. Work with a data set representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, lowering carbon dioxide emissions without reducing Mercedes-Benz’s standards.
RETAIL ANALYSIS WITH WALMART
One of the leading retail stores in the US, Walmart, would like to predict sales and demand accurately. The business is facing a challenge due to unforeseen demands and runs out of stock occasionally. It’s discovered that a machine learning algorithm is at the core of this issue. Build an ideal ML algorithm to accurately predict demand and incorporate factors like economic conditions, CPI, unemployment index, etc.
MOVIE LENS CASE STUDY
Perform analysis using the exploratory data analysis technique. You need to find features affecting the ratings of any particular movie and build a model to predict the movie ratings.
CUSTOMER SERVICE REQUESTS ANALYSIS
Domain: Customer Service
Perform data analysis on New York City 311 service request calls. You will focus on data wrangling techniques to understand data patterns and create visualizations to categorize and prioritize complaints like economic conditions, including CPI, Unemployment Index, etc.
COMPARATIVE STUDY OF COUNTRIES
Create a dashboard to compare various parameters of different countries using the sample insurance data set and the world development indicators data set.
SALES PERFORMANCE ANALYSIS
Build a dashboard that will present monthly sales performance by product segment and category to help clients identify the segments and categories that have met or exceeded their sales targets and those that have not met their sales targets.
PREDICT THE DEMAND FOR LOANS BASED ON THE REGION
This project provides learners with insights into the banking sector. Learners must build a statistical model to predict the demand for loans for a particular region. To show the results, learners must provide an online dashboard that shows the plan and its progress to all stakeholders.
BUILD A MODEL TO PREDICT DIABETIC PATIENTS
The project is aligned with NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) data sets representing one of the most chronic and consequential diseases. This project aims to build a model to predict patients with diabetes by utilizing the given data set.
CUSTOMER SEGMENTATION OF RETAIL CUSTOMERS
Perform customer segmentation using RFM analysis. The resulting segments can be ordered from most valuable (highest recency, frequency, and value) to least valuable (lowest recency, frequency, and value)
The Data Science role requires an amalgam of experience, data science knowledge, and correct tools and technologies. It is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue Data Science training, including:
Professionals wishing to succeed in this Data Science course should have the following:
As a Simplilearn learner who completes the Data Science course , you will have the skills to help you land your dream job in Data Science. Jobs that are ideal for data science-trained professionals include:
The total duration of the Data Science course is twelve months, which includes Exclusive Hackathons, Masterclasses and Ask-Me-Anything sessions by IBM.
Data Science is a multidisciplinary field involving several concepts. If you want to gain expertise in Data Science, it is better to take an online course that covers all the important concepts in its learning path.
The Data Science course syllabus typically includes machine learning, Python/R programming, data interpretation, data science lifecycle, statistics, data mining, decision trees, linear and logistic regression, data visualization, recommendation engines, and more. The Data Science course syllabus must also cover a complete overview of widely used Data Science tools like Tableau, TensorFlow, SciPy, and QlikView.
Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming, tastefully crafted by IBM.
This Data Science with Python course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Simplilearn’s Data Science with Python training.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
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.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.
Our course is exhaustive and this Data Science certification is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Science skills you've gained working on projects, simulations, case studies will set you ahead of the competition.
Talk about your Data Science certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
This course helped a lot. It made me understand how to prioritize important stuff for you. It allowed me to learn and discuss new things like Data Science, Artificial Intelligence, and machine learning. I would also recommend attending Simplilearn's live classes; they give a lot of contexts and are 10x more helpful.
The trainers are very professional and friendly. They have good knowledge of AI/ML and helped me a lot at the beginning of the course as I was completely new to it. After this course, I learned about the various advancements in the field of AI/ML. I am now recognized as a Subject Matter Expert in AI/ML by my organization.
I had an incredible journey completing my Master's Certificate in Data Science. Friends, faculty members, and community support encouraged me to complete this achievement. I've learned multiple scripting languages and expanded my knowledge in statistics, data management/visualization, and machine learning through IBM and Simplilearn.
The entire content is very organized. I got sufficient practical exposure through the live sessions and projects. The course had more implementation than the theoretical part, which helps understand various concepts better. This helped me in applying Data Science to my current role of a Traffic Engineer.
Simplilearn is a gateway for people who want to enter into the fields of Data Science, AI or Cloud. I found this is to be one of the best online instructor-led portals, and I would definitely recommend it. After the course completion, I was able to change my job role from a Hadoop Developer to a Big Data Engineer with a good salary hike.
The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.
In a Data Science course , you will learn about many concepts if you are a beginner or an intermediate. This training program is around six to twelve months, often taken by industry experts to help candidates build a strong foundation in the field. Besides the theoretical material, our Data Science course includes virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced learning experience.
Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. Companies that collect massive amounts of data use various data science tools and techniques to build predictive models. Simplilearn’s Data Science training can help you learn all its concepts from scratch.
A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where statistical analysis is performed to gain actionable insights.
Data scientists are responsible for analyzing large amounts of data, visualizing them to find hidden trends and patterns, and drawing meaningful insights. Such actionable insights aid in solving complex business problems and making better decisions . They apply data science techniques like exploratory data analysis, statistical modeling, and machine learning to uncover hidden correlations in data. This Data Science course can help you become capable of handling all these responsibilities.
These Data Science courses, co-developed with IBM, will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist . This Data Science training will teach you R, Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and an overview of the Hadoop ecosystem. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise.
Becoming a Data Scientist isn’t easy for everyone; one must possess several technical skills to qualify for this role. The top technical skills you will require are core mathematics, statistics, basic programming, machine learning, data wrangling, data visualization, and the ability to process large data sets. Our Data Science course can help you gain all these skills.
Data science is finding applications in almost all the major industrial sectors like healthcare, banking and finance, retail, automotive, marketing, manufacturing, and government agencies. So, this Data Science training is beneficial if you step into any of these sectors for your professional career.
Data scientists are in high demand in large companies as well as startups. Some of the top firms include Microsoft, Oracle, Amazon, Google, Apple, Facebook, TCS, and IBM. Enrolling in a Data Science course will open doors to opportunities available in all such companies.
Simplilearn's Data Science course is designed by industry experts familiar with the students' varying learning needs. They explain the concepts thoroughly and ensure you can apply them while working on industry projects. Completing the Data Science certification will make you more employable for a Data Scientist position.
Achieving a Data Science certification makes you eligible for many high-paying job roles. Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and Data Architect are the top career options you can explore with a background in data science.
Data Scientist has become so demanding that companies are ready to pay higher salaries to even entry-level professionals. However, one must showcase data science knowledge and gain industrial exposure. Simplilearn’s Data Science course imparts all the necessary data science skills to fresh graduates and makes them industry-ready by making them work on real-world projects.
Though our Data Science training is enough to help you learn all the concepts from scratch, you can also read some books for reference. Here are the top data science books you can read:
With the growing demand for data scientists but a scarcity of talent, companies worldwide are paying high salaries to skilled professionals. A Data Science certification further increases your earning potential. Here are the data scientist’s average annual salaries across some top countries (Source: Payscale):
Professionals with no prior knowledge of the field can easily begin with this Data Science course, as you’ll gain a thorough knowledge of the basic concepts as well.
Yes, this Data Science course is suitable for recent graduates and experienced professionals willing to start a career in data science.
There are no specific eligibility requirements to take this Data Science training.
Learners need to possess an undergraduate degree or a high school diploma. Basic knowledge of statistics and a basic understanding of any programming language is recommended.
This Data Science training will familiarize you with programming languages like Python, R, and Scala and data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume.
After completing the payment, you will be notified of your successful enrollment through email. It will give you all the details regarding accessing the Data Science course material. Following the steps, you can go through the video lessons instantly.
Companies are embracing digital transformation, and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives, and data science skills will remain in high demand soon. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Simplilearn’s Data Scientist course, you can qualify for this rewarding career.
Data science is a vast field; people cannot gain expertise within six months or a year. Learning data science requires specialized technical skills and knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all the relevant concepts from scratch, making it easy to use your new skills.
Simplilearn’s Data Science course is unique because of the following major features:
As a part of this Data Science online course, in collaboration with IBM, you will receive the following:
Following are the list of courses for which you will get IBM certificates:
The course completion certificate received after completing this Data Science course does not expire.
Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.
|Data Science with Python||
|85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 60% in course-end assessment and successful evaluation in at least 1 project|
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
|Deep Learning with Keras and TensorFlow||
Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
Data Science Capstone Project
Attendance of 1 Live Virtual Classroom and successful completion of the capstone project
You can enroll in this Data Science training on our website and make an online payment using any of the following options:
Once payment is received, you will automatically receive a payment receipt and access information via email.
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 .
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or Request a callback.
Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.
All of our highly qualified Data Science trainers are 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.
Our teaching assistants are a dedicated team of subject matter experts to help you get certified in Data Science on 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.
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 Science course with us.
Simplilearn offers multiple courses on Data Science and AI domains, which are listed below: