Most Popular Data Science Programs & Business Analytics Courses

Explore our top courses in Data Science & Business Analytics and take the first step towards career success

Data Science & Business Analytics Overview

Data Science & Business Analytics Job Market Look

The job market for Data Science and Business Analytics continues to thrive. According to a report by the U.S. Bureau of Labor Statistics, jobs in data science are projected to grow by 36% through 2031. On LinkedIn, there are currently over 90,000 global data science job listings. Business Analytics follows a similar trend, with Gartner predicting that by 2025, businesses will see a 25% increase in demand for individuals with strong business analytics skills. These numbers showcase the growing need for data expertise across industries, making it a catalyst for unprecedented career growth.

Career Path For Data Science & Business Analytics Aspirants

For a Data Science and Business Analytics aspirant it is mandatory that he/she invests a great amount of time and effort in mastering today’s most important data science and business analytics concepts. Aspirants need to have an in-depth knowledge of databases, data engineering, and programming languages such as Python and R. Additionally, an understanding of machine learning, and data visualization tools like Tableau gives aspirants a competitive edge in the field of data science.

Top Job Titles In This Field

Here are some of the top job titles in this field:

  • Data Analyst
  • Data Scientist
  • Data Architect
  • Analytics Business Partner
  • Business Analytics Specialist
  • Business Intelligence Analyst
  • Statistical Programming Specialist
  • Business Intelligence Engineer

Salary Of Data Science & Business Analytics Professionals

Data Scientists and Business Analytics managers are offered lucrative salary packages globally. The average annual salary of a data scientist is around $1,57,570 in the United States. On the other hand, a Business analytics manager earns around $1,40,082 on an average annually.

Data Science & Business Analytics Courses Duration and Fees

Data Science & Business Analytics programs typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Professional Certificate Program in Data Engineering

Cohort Starts: 2 Dec, 2024

7 months$ 3,850
Professional Certificate Program in Data Analytics and Generative AI

Cohort Starts: 4 Dec, 2024

11 months$ 2,500
Post Graduate Program in Data Analytics

Cohort Starts: 6 Dec, 2024

8 months$ 3,500
Post Graduate Program in Data Science

Cohort Starts: 9 Dec, 2024

11 months$ 3,800
Professional Certificate Course in Data Analytics and Generative AI

Cohort Starts: 9 Dec, 2024

11 months$ 2,500
Professional Certificate in Data Analytics and Generative AI

Cohort Starts: 10 Dec, 2024

22 weeks$ 4,000
Professional Certificate Course in Data Science

Cohort Starts: 16 Dec, 2024

11 months$ 2,500
Caltech Post Graduate Program in Data Science

Cohort Starts: 23 Dec, 2024

11 months$ 4,000
Data Analyst11 months$ 1,449
Data Scientist11 months$ 1,449
Tableau Desktop Specialist Certification Training

Classes starting from: 25 Nov, 2024

4 weeks$ 750
PL-300 Microsoft Power BI Certification Training

Classes starting from: 29 Nov, 2024

3 weeks$ 750
SQL Certification Course

Classes starting from: 30 Nov, 2024

3 weeks$ 750
Applied Data Science with Python

Classes starting from: 6 Dec, 2024

5 weeks$ 750
Microsoft Certified Azure Data Engineer Associate: DP 203

Classes starting from: 11 Jan, 2025

4 weeks$ 459

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Data Science & Business Analytics Course Advisors

  • Patrick J. Wolfe

    Patrick J. Wolfe

    Frederick L. Hovde Dean of the College of Science at Purdue University

    Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.

    Twitter  LinkedIn
  • Rick Hefner

    Rick Hefner

    Caltech CTME, Executive Director

    Dr. Rick Hefner serves as the Executive Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions. 

    Twitter  LinkedIn
  • Srikar Prasad

    Srikar Prasad

    Adjunct Professor, Brown University

    Srikar Prasad is an Adjunct Professor of Programming and Data Science at the Brown University Watson Institute. He has held Artificial Intelligence, product, and technology leadership roles at Meta Platforms, Wayfair, and Alphabet.

    Twitter  LinkedIn
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Data Science & Business Analytics Learner's Reviews

  • Hansil Sago.

    Hansil Sago.

    The data science course at IIT in India offers an engaging and well-organized curriculum. The animated lectures enhance understanding, complemented by exceptional lecture notes. The instructor excels in elucidating concepts, making the learning experience truly exceptional.

  • Manish Beniwal

    Manish Beniwal

    Advisor Reporting - Global Mobility at Rio Tinto

    I am a Data Analyst with 7 years of experience, but I hadn't worked with Statistics much. So, I enrolled in this Data Analyst Certification course. It's a good course, even for beginners. Overall, the training is very good. Thank you, Simplilearn.

  • Leena Jayamohan

    Leena Jayamohan

    Founder & Senior Consultant

    I took this program, which consisted of multiple classes. Overall the teachers knew the subject and covered what was promised. The industry-related projects were excellent, and it helped put into practice what we learned in the class. I would recommend these classes to anyone planning to enter the Data Analytics field.

  • 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.

  • C Muthu Raman

    C Muthu Raman

    Simplilearn facilitates a brilliant platform to acquire new & relevant skills at ease. Well-structured program content and expert faculty ensure an excellent learning experience.

  • Hansil Sago.

    Hansil Sago.

    The material is exciting and structured. The animation in the lectures is very helpful and useful. The lecture notes are also outstanding. The way of explaining things is also great. The instructor is just excellent in everything. I highly recommend people take courses from Simplilearn.

  • Prasenjeet Sahoo

    Prasenjeet Sahoo

    Software Engineer at 1mg

    I always had a passion for data science and wanted to build my career in this domain. Simplilearn’s Data Scientist training helped me to acquire the skills I needed and their JobAssist program helped me to enhance my career from Programmer Analyst to Software Engineer with a salary hike.

  • Prasenjeet Sahoo

    Prasenjeet Sahoo

    Software Engineer at 1mg

    I always had a passion for data science and wanted to build my career in this domain. Simplilearn’s Data Scientist training helped me to acquire the skills I needed and their JobAssist program helped me to enhance my career from Programmer Analyst to Software Engineer with a salary hike.

  • Shoeb Mohammad

    Shoeb Mohammad

    Analyst at Accenture

    I had joined the Data Science certification from Simplilearn. The course content was really good. The trainer puts a lot of efforts into explaining every detail which made the learning very absorbing. The customer support is always available whenever you need help. I actually feel one step forward towards my goal. Thank you.

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Industry Projects

  • Project 1

    Develop an Ecommerce App with Python

    Develop an e-commerce app on the Python platform that cancategorize, add or remove items from the cart and support different payment options

    View Program
  • Project 2

    Build an Online Car Rental Platform

    Create an online car rental platform integrating scheduling and billing features and leveraging object-oriented programming techniques

    View Program
  • Project 3

    Utilize Time Forecasting to Forecast for the Food Industry

    Use data science techniques, such as time series forecasting, to help a data analytics company forecast demand for different restaurant items.

    View Program
  • Project 4

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing to better understand the various factors that contribute to customer acquisition.

    View Program
  • Project 5

    Use Cluster Analysis for Song Classification

    Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.

    View Program
  • Project 6

    Predicting Employee Iteration with Machine Learning

    Build a machine learning model that predicts a company's employee attrition rate by identifying patterns in their work habits and desire to stay with the company.

    View Program
  • Project 7

    Utilize Deep Learning to Automate Ship Detection

    Use deep learning concepts, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error and identifies the type of ships

    View Program
  • Project 8

    Rating Prediction for Apps on Google Play Store

    Make a model to predict the app rating, with other information about the app provided to boost its visibility.

    View Program
  • Project 9

    Demand Forecast for Walmart

    Predict store sales and demand, factoring in economic conditions for the retail giant Walmart’s stores across the United States.

    View Program
  • Project 10

    Designing a Sales dashboard in Excel

    Explore Excel to analyze sales based on various product categories.

    View Program
  • Project 11

    Comparison of Regions Based on Sales

    Build a dashboard to visualize the region-wise sales performance and suggest the necessary improvements.

    View Program
  • Project 12

    Marketing Strategies with EDA

    Use exploratory data analysis and hypothesis testing to help a marketing department build more effective customer acquisition strategies.

    View Program
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Data Science & Business Analytics FAQs

  • What are Data Science Courses?

    Data Science courses offered by Simplilearn provide training for analyzing and interpreting complex data to drive decision-making. These data science programs cover key concepts like data manipulation, statistical analysis, ML, and data visualization. During the course, learners use various tools and techniques to extract insights from large data sets, develop predictive models, and communicate findings effectively. Simplilearn’s data science courses equip professionals with the skills to solve data-driven business problems and influence business strategies.

  • What are the eligibility criteria to take up data science courses online?

    To enroll in Simplilearn’s online data science courses, candidates need a basic understanding of mathematics and statistics. Proficiency in programming languages like Python or R is helpful, although not mandatory. Some courses might require a background in computer science or a related field. However, most data science courses Simplilearn offers are beginner-friendly and provide foundational training.

  • What are the best Data Science courses for beginners?

    You can check our free and paid programs listed below:

  • What are the best Data Science programs for product managers?

    For product managers, Simplilearn’s Caltech CTME Post Graduate Program in Data Science in collaboration with IBM is an excellent choice.

    The Purdue Post Graduate Program in Data Science is also a great data science PG Program to enroll in.

  • What are the best Data Science courses for working professionals?

    Here are some of the best advanced-level courses in Data Science and Business Analytics, suitable for working professionals:

  • Do you provide data science courses with certificates?

    Yes, Simplilearn offers data science courses with certificates. Some of our most popular Data Science certificate programs are Post Graduate Program in Data Science, offered in collaboration with Caltech CTME, and the Professional Certificate Program in Data Science, offered by IIT Kanpur. These courses cover data analysis, ML, and data visualization. These certificate courses provide hands-on experience and practical skills. Participants receive a certificate upon completion that can help advance their careers in data science.

  • Which are the top industries hiring data science professionals?

    Some of the top industries hiring data science professionals are

    • IT services
    • BFSI
    • Healthcare
    • E-commerce and Retail
    • Telecommunications
    • Energy
    • Manufacturing
    • Automotive
    • Government and Public Sector
    • Consulting

  • Which are the top companies hiring data science professionals?

    Top companies hiring data science professionals include

    • Google
    • Amazon
    • Microsoft
    • IBM
    • Apple
    • Facebook (Meta)
    • Netflix
    • Uber
    • LinkedIn
    • Salesforce

  • What are Business Analytics Courses?

    Business Analytics courses teach individuals how to analyze data to make informed business decisions. Simplilearn’s business analytics courses include modules on statistical analysis, data visualization, predictive modeling, and decision-making processes, including real-world case studies. They equip students with the skills to interpret complex data sets, identify trends, and generate actionable insights for strategic business planning. These courses are best suited for professionals looking to enhance their analytical skills.

  • What are the eligibility criteria to take up Business Analytics courses?

    Our Business Analytics courses require a basic understanding of mathematics and statistics. Some programs might require prior knowledge of data analysis tools and techniques, though it isn’t mandatory. Candidates are typically required to possess a bachelor's degree in any discipline. Having experience in handling data or working with analytical tools would be an added advantage.

  • Which are the top industries hiring Business Analytics professionals?

    Top Industries hiring business analytics professionals include

    • Finance and Banking
    • Healthcare
    • Retail and E-commerce
    • Technology and IT Services
    • Manufacturing
    • Telecommunications
    • Marketing and Advertising
    • Energy
    • Logistics and Supply Chain
    • Consulting

  • Which are the top companies hiring Business Analytics professionals?

    Top companies hiring Business Analytics professionals include

    • Google
    • Amazon
    • Microsoft
    • IBM
    • Apple
    • Facebook (Meta)
    • Deloitte
    • Accenture
    • JPMorgan Chase
    • Wells Fargo

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