• Admission closes

    May 15, 2025
  • Program Duration

    8 months
  • Learning Format

    Live, Online, Interactive

Key Features

  • Partnership with Purdue University Online

    Program certificate from Purdue University Online and Simplilearn

    Become eligible for membership in the Purdue University Alumni Association

  • Learn from the Experts

    Masterclasses by the eminent Purdue faculty and staff, and experts from IBM

    Modules on the latest AI topics like prompt engineering, generative AI and more

  • Real-World Practical Applications

    Learn by applying with 14+ real-world projects with data sets from multiple domains

    8X higher live interaction with capstone projects in 3 domains

  • Simplilearn Career Service

    Strengthen your resume and get career guidance from industry specialists

    Attend mock interview sessions to help you ace the hard technical questions

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Hours
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Career Opportunities After Data Analytics Training

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist

The Data Analyst collects, processes, and analyzes data to extract valuable insights. They utilize statistical tools and programming languages to create reports and dashboards. Effective communication skill is crucial in translating data into actionable recommendations for decision-makers.

Hiring Companies
Wells Fargo
PricewaterhouseCoopers
Bosch
Ernst & Young
Amazon
Siemens
Average Salary
$83KMin
$107KAverage
$170KMax

Essentials Skills You will Develop

  • Data Analytics
  • Data Analytics Using Python
  • Data Storytelling
  • Data Visualization With PowerBI
  • Data Visualization With Tableau
  • Generative AI
  • Python
  • SQL

Earn Professional Certifications

Program Certificate
Program Certificate
  • Completion certificate from Purdue University Online and Simplilearn
  • Become eligible for membership in the Purdue Alumni Association
  • Practical exposure to generative AI, ChatGPT, explainable AI, and more
IBM Certificate
IBM Certificate
  • Industry-recognized certificates from IBM
  • Industry masterclasses conducted by IBM experts
  • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM
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Data Analytics Course Curriculum

Fast-track your career with comprehensive coverage of Excel, SQL, ETL, Power BI, Python programming, data visualization, generative AI literacy, real-world AI applications, and a capstone project, supplemented by electives in data ethics and industry masterclasses.

  • Get started with this Data Analytics Program in partnership with Purdue University Online and explore everything about this Data Analytics certification. Start your journey with the preparatory courses on Statistics and an Introduction to Data Analytics along with SQL training.

  • Make your Data Analytics foundation strong with the basics of statistics fundamentals, and techniques as the first step in the Data Analytics Program.

  • This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, sub-queries, and various functions to manage your SQL database for scalable growth

  • Learn ETL fundamentals, including the ability to extract both structured and unstructured data incrementally, create transformation rules, and load data into repositories using tools like Nifi and Talend. Distinguish between batch and real-time ETL processes, implement real-time processing, and optimize ETL workflows through parallel processing. Master ETL fundamentals in data analysis.

  • Analyze data to extract valuable business insights using Power BI, create interactive dashboards that support effective decision-making, and enhance operational efficiency. Develop dashboards from published reports, utilizing Power BI’s Quick Insights feature to rapidly discover data patterns. Adopt practical approaches within Power BI to maximize the tool's potential in delivering actionable insights for business success.

  • Learn Python by exploring both procedural and object-oriented programming. Learn through hands-on experience with Jupyter installations. Dive into essential concepts such as data types, loops, OOP principles, methods, attributes, threading, and discover the wide range of Python’s benefits and applications.

  • Adapt the skills to collect, process, analyze, and visualize data using Python's libraries to derive insights efficiently​. Analyze various statistical methods to understand their applications​ and compare different types of statistics to analyze their differences​. Apply data optimization techniques to enhance data quality and integrity​ and create data visualizations using Pivot Tables to analyze data effectively.

  • Explore the foundations of machine learning and generative AI, covering key algorithms like neural networks, GANs, and transformers. Understand large language models (LLMs) and their applications in chatbots. Delve into image generation techniques with hands-on practice, including GANs, diffusion models, and VAEs. Explore video generation and master prompt engineering for chatbots and AI-driven image creation.

  • Understand the applications of generative AI in data visualization, data modeling, forecasting, and risk analysis. Get to know the challenges and ethical implications of using generative AI in data analytics to ensure the safe usage of the data.

  • Learn to leverage generative AI for business growth and career advancement. Explore real-world applications, uncover new opportunities, and adapt your skills to the evolving market. Understand AI’s impact across industries, prepare businesses for adoption, and gain hands-on experience through expert-led labs and projects.

  • At the end of the Data Analytics Program, bring your newly acquired Data Analytics skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.

ELECTIVES
  • Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

  • Acquire a thorough understanding of creating impactful visualizations, organizing data efficiently, and designing informative charts and dashboards. Learn the skills needed to build interactive dashboards that incorporate filters, parameters, and sets, and apply various visualization techniques to enhance data presentation.

  • Understand key ethical principles in data analytics. Explore privacy, security, bias, and societal impact through legal frameworks and ethical decision-making. Learn responsible data practices, including fair visualization and secure handling of sensitive information.

  • Master prompting techniques for tools like ChatGPT and IBM watsonx Prompt Lab. Learn zero-shot, few-shot, Interview Pattern, Chain-of-Thought, and Tree-of-Thought prompting. Get hands-on with industry tools and gain practical insights from experts. Ideal for professionals, developers, and enthusiasts.

  • Understand the ethical challenges and limitations of Generative AI. Explore privacy, security, bias, workforce impact, and deepfakes. Learn responsible AI practices, study real-world cases, and gain insights on transparency, accountability, and socioeconomic effects through hands-on modules.

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21+ Tools Covered

Microsoft Excel
SQL
tableau
python
MatPlotlib
NumPy
pandas
JUPYTER
AWS GLUE
amazon s3
ChatGPT
Zapier
Invideo.ai
Uizard
Otter AI
Julius.ai
MIRO
Descript
Gemini
Claude3
PowerBI

Industry Projects

Data Analytics Program Advisor

Program Trainers

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Data Analytics Training Fee

Program Fee $ 3,500

Pay in Installments

As low as

You can pay monthly installments using Splitit or Klarna.These plans are offered with low APR and no hidden fees.

Program Cohorts

Who Is This Program For?

How to apply For Data Analytics Course

  • 1
    Submit Application

    Briefly outline your education and professional experience

  • 2
    Reserve Your Seat

    Complete your payment to reserve your admission

  • 3
    Start Learning

    Selected candidates can begin the program as per the cohort date

Start Application

Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps you to be career-ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

30-day premium subscription to career.io

30-day premium subscription to career.io

Demand for Data Analytics Course in 2025

In today's fiercely competitive job market, the demand for skilled data analytics professionals is reaching unprecedented heights. A study by the World Economic Forum highlights that data analysis and interpretation will be among the top 10 job skills required in the job market by 2025. Reflecting this global trend, industries worldwide are recognizing the transformative potential of data and AI, which is leading to a substantial surge in job opportunities for skilled professionals in the field. This exponential growth is attributed to the increasing reliance of businesses on data-driven decision-making, creating an insatiable appetite for data experts.

Our Professional Certificate in Data Analytics and Generative AI is meticulously crafted to prepare you for this data-centric future. With an extensive curriculum encompassing data visualization tools, programming languages like Python and SQL, and hands-on projects, you'll not only meet but exceed the industry's demands. As businesses increasingly depend on data to gain competitive advantages, your are going to be an invaluable asset.

Demand for Data Analytics Course in 2025

Data Analytics Training FAQs

  • What is a data analytics course?

  • What salary can I expect as a data analyst?

  • What do data analysts do?

  • How does our data analytics course online differ from other available programs?

  • What are the key benefits of earning a data analytics certificate?

  • Who are the instructors for this online data analytics course, and how were they selected?

  • How can I enroll in this data analytics certificate course?

  • Can I enroll in a data analytics course if I have no prior knowledge of data analysis?

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

  • Do I need to be a Purdue University student to apply to this data analytics course?

  • Can I keep working while studying for the data analytics course with Purdue-Simplilearn?

  • What are the different job roles in data analytics?

  • What is the refund policy for the data analytics course?

  • Is there any preparation material included in this data analytics program?

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

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