• Next cohort Starts25th Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts25th Jun, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses

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    Generative AI Edge

    Live sessions on the latest AI trends, Generative AI tools, prompt engineering, and more

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    Applied Learning

    Capstone and 25+ industry-relevant data science projects to ensure comprehensive learning

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    Top-notch Data Science course

    Comprehensive data science curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Science Course Overview

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features

  • Masterclasses from IBM experts
  • Dedicated live sessions by faculty of industry experts
  • Industry-recognized Data Scientist Master’s certificate from Simplilearn
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 25+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Scientist
  • Integrated labs for hands-on learning experience
Key Features
Masterclasses from IBM experts
Dedicated live sessions by faculty of industry experts
Industry-recognized Data Scientist Master’s certificate from Simplilearn
Industry-recognized IBM certifications for IBM courses
Ask-Me-Anything (AMA) sessions with IBM leadership
Capstone from 3 domains and 25+ projects
Exclusive hackathons conducted by IBM
Lifetime access to self-paced learning content
Program crafted to initiate your journey as a Data Scientist
Integrated labs for hands-on learning experience

Data Science Certification Advantage

Get certified in data science through our IBM program and receive both Data Scientist and IBM certificates to enhance your career prospects. Gain exclusive access to expert-led masterclasses and engaging AMAs with industry leaders.

  • Master's Certificate

    Earn Your Data Scientist Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get Ahead With IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About Online Data Science Course

Why become a data scientist?

Becoming a data scientist is lucrative yet compelling, given the industry's robust growth. The average salary for a data scientist is $1,55,263 per year in the United States(Glassdoor). The global data science market is projected to reach $132.9 billion by 2026, growing at a CAGR of 25.1% (MarketsandMarkets).

The demand for skilled data scientists outpaces supply, leading to a talent gap of 250,000 professionals by 2024. With an ever-increasing volume of data- estimated to be 175 zettabytes by 2025 (IDC) – there's an escalating need for experts who can derive meaningful insights.

Data science offers a versatile skill set encompassing programming languages like Python, statistical analysis, machine learning, and data visualization, making it an essential profession across industries. Enrolling in a data science course will open avenues for impactful contributions, lucrative compensation, and a future-proof skill set in the current data-driven world.

What important skills will you learn with this data science course?

This course is the best resource to become a data scientist. In this data science course, you will:

  • Apply effective prompt engineering techniques to improve the performance and control the behavior of generative AI models.

  • Learn about python for data science, prompt engineering, explainable AI, conversational AI, large language models, ChatGPT, and more.

  • Understand generative AI, its landscape, and practical applications.

  • Grasp fundamentals of Excel analytics functions and conditional formatting.

  • Understand the tools and techniques used in business analysis planning and monitoring.

  • Gain an in-depth understanding of data structure and data manipulation.

  • Understand and use linear and non-linear regression models and classification techniques for data analysis.

  • Obtain a comprehensive knowledge of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipelines.

  • Gain practical mastery over data science principles, algorithms, and machine learning applications.

  • Gain expertise in mathematical computing using the NumPy and scikit-learn package.

  • Perform scientific and technical computing using the SciPy package and sub-packages such as Integrate, Optimize, Statistics, IO, and Weave.

  • Master the concepts of applied data science, recommendation engines, and time series modeling.

  • Learn to visualize data using Tableau and Power BI and become proficient in building interactive dashboards.

Explore a career in data science and become a data scientist with one of the best data science certifications.

Who should take this data science course?

The data science role requires an amalgam of experience, data science knowledge, and correct tools and technologies. Data science is a solid career choice for both new and experienced professionals. The course is best suited for Aspiring professionals of any educational background with an analytical frame of mind. 

The following professionals can most definitely pursue a career in the field of data science:

  • IT professionals

  • Aspiring data scientists

  • Software Engineers/Developers

  • Data analysts

  • Analytics managers

  • Business analysts

  • Banking and Finance professionals

  • Marketing managers

  • Supply Chain Network managers

  • Recent graduates with Bachelor’s or Master’s degrees

What are the prerequisites for this Data Science training?

Professionals wishing to succeed in this Data Science course should have the following:

  • Basic knowledge of mathematics and statistics

  • Basic understanding of any programming language

Data Science Certification Course Learning Path

Accelerate your career with our top-ranked data scientist course. Learn the skills needed to showcase your data science skills through our curated learning path.

Learning Path

  • Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.

  • Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

    • Aligned with PL-300: Microsoft Power BI Data Analyst certification
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • Learn to experiment, refine, prepare, and present data with ease
    • Explore comprehensive Power BI training for hands-on applied learning
    • Learn through a practical approach to help you gain expertise

  • Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.

  • Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.

15+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Model Building and Finetuning
  • Ensemble Learning
  • Data Visualization
  • Database Management
  • Data Science
  • Supervise and Unsupervised Learning

14+ Tools Covered

ChatGPTDalle.2MySQLFSDNumPypandasSciPypythonRSeabornScikitLearntableauMatPlotlibMicrosoft ExcelPowerBI

Industry Projects

  • Project 1

    Sales Analysis

    Utilize Python to analyze a clothing company’s sales data for the fourth quarter across Australian states to help the company make data-driven decisions for the coming year.

  • Project 2

    Employee Performance Analysis

    Build ML models to understand various factors affecting employee turnover. Use clustering, SMOTDE & K-fold validation to analyze their performance & suggest retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and cluster analysis to create personalized song lists and an efficient recommendation system.

  • Project 4

    Interactive Sales Dashboard

    Create an interactive sales dashboard for an apparel OEM in Tableau for the sales department.

  • Project 5

    Crime Analysis with Tableau Dashboard

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

  • Project 6

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing to help a marketing department understand the factors contributing to customer acquisition and build a better strategy.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Join the Data Science industry

Data science & analytics jobs are booming with 31% projected growth this decade. The data science platform market could surge from USD 10.15 billion (2024) to USD 29.98 billion (2029), demonstrating a 23.5% CAGR. This highlights the field's rapid expansion.

Job Icon11.5 M

Expected New Jobs For Data Science And Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth By 2030

Source: 365 Data Science
Job Icon$ 117-206K

Average Annual Salary (US)

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Ernst & Young
    Fidelity Investments
    Johnson and Johnson
    Nomura Holdings
    Tata Consultancy Services

Learner Reviews


The admission fee for this program is $ 1,449

Pay in Installments

You can pay monthly installments for Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.


Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 1,449

Data Science Certification Training FAQs

  • What is a Data Science course?

    Data science courses are training programs that aim to give students the abilities and information necessary to use methods from programming, statistics, machine learning, and domain expertise to analyze, evaluate, and extract useful insights from big and complicated datasets.

    In this data science course, you will learn about many concepts of varied complexity- from beginner to intermediate and advanced levels. This data science 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 topics on machine learning, deep learning, virtual labs, industry projects, interactive quizzes, and practice tests, giving you an enhanced applied learning experience. The course also includes data science projects, assignments on business analytics, and a data science capstone project.

    If you aspire to pursue a career in data science, this course is best suited for you.

  • What is the job role of a data scientist?

    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.

    Such actionable insights aid in solving complex business problems and making better decisions. Data scientists apply data science techniques like exploratory data analysis, statistical modeling, and machine learning to uncover hidden correlations in data. If you are looking to ace your career as a data scientist, this data science course can help you handle all these responsibilities.

  • What is the salary of data scientists across the world?

    With the growing demand for data scientists but a talent scarcity, 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):

    • India - ₹972,217 in 2024

    • US - $100,507

    • Australia - A$95,254

    • Canada - C$83,638

    • Singapore - SGD71,654

    • UK - £41.437

    The pay scale may vary based on the work location, the candidate’s experience, and the increasing demand for data science professionals.

  • Can a fresh graduate seek employment after completing this data science course?

    Data scientists are in very high demand today, and companies are ready to pay higher salaries for even entry-level positions. However, one must showcase deep data science knowledge and gain industrial exposure to become a data scientist.

    Simplilearn’s data science course imparts all the necessary data science skills to fresh graduates and makes them industry-ready to become successful data scientists.

    This online data science training includes assignments on applied data science and real-world data science projects, thus is best to begin your journey in the field of data science.

  • Which industries use data science the most?

    Data science is finding applications in almost all the major industrial sectors like healthcare, banking and finance, retail, automotive, marketing, manufacturing, and government agencies. Industries like technology, advertising, energy, and utilities, amongst others, also employ a huge number of data scientists.

    So, this data science certification course is beneficial if you are looking to step into any of these sectors for your professional career.

  • Who are the instructors for this data science training, and how are they selected?

    Our highly qualified data science trainers are industry experts with many years of relevant experience in fields like machine learning, python for data science, and applied data science, amongst others.

    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.

  • I am not able to access the data science course. 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.

  • If I need to cancel my enrollment from this data science course, can I get a refund?

    Yes, you can cancel your enrollment from this data science course if necessary. We will refund the course price after deducting an administration fee.

    To learn more, please read our Refund Policy.

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