• Next cohort Starts20th Jul, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts20th Jul, 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

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

As part of  this data science course, you will:

  • Learn to 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 packages.

  • Use SciPy and its sub-packages, such as Integrate, Optimize, Statistics, IO, and Weave, to perform scientific and technical computing.

  • 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.

Who should take this data science course?

The data science role requires an amalgam of experience, knowledge, and the 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 from any educational background with an analytical mindset. 

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

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 in the United States is $1,55,263 per year (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 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

Electives:
  • 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
    • Get access to practice tests to ace the PL-300 exam
    • Learn through projects and labs to gain expertise in visualization

  • 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.

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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
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
    Amazon
    Ernst & Young
    Fidelity Investments
    Johnson and Johnson
    Vodafone
    Broadcom
    Accenture
    Nomura Holdings
    Ericsson
    Infosys
    Nvidia
    Tata Consultancy Services

Learner Reviews

Financing

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.

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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 programming, statistics, machine learning, and domain expertise methods to analyze, evaluate, and extract valuable 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.

  • What does a Data scientist Do?

    A data scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to business leaders. This 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 are the benefits of enrolling in a Data Science course?

    Upon completing this data science course, you will receive IBM and Simplilearn certificates for their respective courses in the learning path. These certificates will testify to your skills and assert your data science expertise. Additional benefits of this course include:

    • Masterclasses by IBM experts
    • “Ask-me-anything” sessions with IBM leadership
    • Exclusive hackathons conducted by IBM
    • Industry-recognized data science certification from Simplilearn
    • Live interactive sessions on the latest AI trends, such as Generative AI, prompt engineering, explainable AI, and more
    • Learn about ChatGPT, DALL-E, Midjourney and other prominent tools

  • 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 machine learning, Python for data science, and applied data science.

    Each 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 trainers with a high alumni rating remain on our faculty.

  • How do I enroll in the Data Science course?

    The admission process for the data science course consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by paying the program fee.

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

  • 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 - ₹ 9.78 Lakhs
    US - $100,588

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

  • What will be the career path after completing the data science course?

    Organizations across industries are relying heavily on data-driven decision-making for competitive growth. This shift has made the role of a data scientist one of the most thriving career options in the current job market. Skilled data professionals who can analyze and interpret complex data are in high demand. One can expect competitive salaries, growth opportunities, and the chance to work on cutting-edge technologies.

    Completing the data science course from Simplilearn opens up several promising career paths, including positions as a data scientist, data analyst, machine learning engineer, or business intelligence analyst. 

    Also, roles such as data engineer in specialized areas like Natural Language Processing (NLP) or computer vision, are also viable options. These careers span various industries like IT, finance, healthcare, and retail.

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

    Data scientists are in high demand today, and companies are ready to pay higher salaries for 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 skills to fresh graduates, making 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, making it an incredible option to begin your journey in data science.

  • Which industries use data science the most?

    Data science is finding applications in major industrial sectors, such as healthcare, banking and finance, retail, automotive, marketing, manufacturing, and government agencies. Industries like technology, advertising, energy, and utilities, amongst others, also employ many data scientists.
    This data science certification course is beneficial if you want to enter any of these sectors as a professional.

  • 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 completing your data science course with us.

  • What is the refund policy for this Data Science Course?

    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.