Data Science & Business Analytics Overview

Data Science & Business Analytics Job Market Look

IBM had predicted that the demand for Data Scientists will grow by 28% in 2020. Going by the recent trends, there are more than 54,000 global data science jobs posted on LinkedIn alone. In fact, “Data Scientist” was one of the top 50 job profiles in the United States and is considered the most promising career in 2021. And so is the case with Business Analytics. As per a report by McKinsey Global institute, there is a requirement of 140,000 - 190,000 individuals possessing Business Analytics skills in the USA alone.

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 $96,494 in the United States. An experienced data science professionals can command even higher salaries ranging up to $137,000 annually. On the other hand, a Business analytics manager earns around $95,920 annually, with experienced professionals earning up to $127,000 per annum.

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
Data Analytics Bootcamp

Cohort Starts: 24 Jun, 2024

6 Months$ 8,500
Post Graduate Program in Data Analytics

Cohort Starts: 8 Jul, 2024

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

Cohort Starts: 11 Jul, 2024

11 Months$ 3,800
Post Graduate Program in Data Engineering

Cohort Starts: 16 Jul, 2024

8 Months$ 3,850
Caltech Post Graduate Program in Data Science

Cohort Starts: 22 Aug, 2024

11 Months$ 4,500
Applied AI & Data Science3 Months$ 2,624
Data Scientist11 Months$ 1,449
Data Analyst11 Months$ 1,449

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Data Science & Business Analytics Courses 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.

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  • 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.

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  • 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

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  • 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.

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  • 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.

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  • Project 11

    Comparison of Regions Based on Sales

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

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  • Project 12

    Create a Virtual Assistant with Generative AI

    Develop a conversational chatbot that can engage in meaningful dialogues, answer questions, provide recommendations, and assist with tasks based on the documents provided.

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  • Project 13

    Air Cargo Analysis with SQL

    Leverage SQL to generate reports using historical airline data, aiming to enhance services and improve customer experience.

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  • Project 14

    Crime Analysis with Tableau Dashboard

    Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You are required to create a dashboard/story using Tableau.

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  • Project 15

    Sales Analysis

    Utilize Python to analyze a clothing company’s sales data for Australia, and state by state help the company make data-driven decisions for the coming year.

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  • Project 16

    Employee Performance Analysis

    Create ML programs to understand different factors contributing to employee turnover. Perform different ML techniques for performance, and suggest employee retention strategies.

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  • Project 17

    Creation of an Interactive Sales Dashboard

    Create an interactive Sales Dashboard for an apparel OEM in Tableau for the Sales department to use for ad-hoc analysis and reporting.

    View Program
  • Project 18

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing. The goal is to gain a better understanding of the various factors that contribute to customer acquisition.

    View Program
  • Project 19

    Develop Ecommerce app with Python

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

    View Program
  • Project 20

    Marketing Strategies with EDA

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

    View Program
  • Project 21

    Retail Sales Analysis

    Analyze the company’s sales data for the fourth quarter across Australia, state by state, and help the company make data-driven decisions for the coming year.

    View Program
  • Project 22

    Loan Repayment Prediction

    Create a Deep Learning model that can predict the ability of loan applicants to repay the loan.

    View Program
  • Project 23

    Identify Credit Card Fraudulent Transactions

    Analyze the dataset provided and build a mode to identify fraudulent credit card transactions from legitimate ones.

    View Program
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Data Science & Business Analytics FAQs

  • What is Data Science and Business Analytics?

    Data Science: Data Science refers to the extraction of insights from the data gathered using different methodologies. The process involves identifying the problem, performing an exploratory study on the data, modeling the data using various algorithms, and finally visualizing the results through graphs, dashboards, and more. 

    Business Analytics: Business Analytics is a field that involves building simulations and analysis models to understand realities, create scenarios, and predict future states of business. In simpler words, it’s a practice of combining key data about organizational performance to improve the planning and performance of a business

  • What are the best Data Science and Business Analytics courses for beginners?

    Here are some of the best Data Science courses for beginners:

  • What are the best courses in Data Science and Business Analytics for intermediates?

    Here are some of the best courses in Data Science and Business Analytics for intermediates:

  • What are the advanced level courses in Data Science and Business Analytics?

    Here are some of the best advanced-level courses in Data Science and Business Analytics:

  • Do you offer any university partnered data science programs?

    Yes, Simplilearn provides you with multiple Professional Certificate Programs and Bootcamps in collaboration with universities

  • What are the top industries suitable for professionals in this field?

    Data-driven decisions have helped companies achieve higher ROI and various sectors across industries are hiring data scientists and business analytics professionals now. Information technology, retail, eCommerce, BFSI, manufacturing, biotechnology, and telecommunication are some of the top industries seeking data science and business analytics professionals

  • What are the top companies hiring professionals in this field?

    Here are some of the top companies hiring professionals in this field:

    • Oracle
    • Salesforce
    • JP Morgan Chase
    • Intuit
    • Amazon.com
    • Amazon Web Services
    • Lenovo

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