• Next cohort Starts21st Nov, 2026
  • Next cohort Starts21st Nov, 2026
  • Program Duration6 months
  • Learning FormatLive, Online, Interactive
  • Learning FormatLive, Online, Interactive

Why Join this Program

  • icons
    Learn the Full Data Workflow

    Master the analytics lifecycle, from statistics to SQL, Python to dashboards with PowerBI, Tableau

    Master the analytics lifecycle, from statistics to SQL, Python to dashboards with PowerBI, Tableau

  • icons
    Practice on Business Problems

    Work on 10+ real world projects on marketing, retail, airline and sales intelligence using 20+ tool

  • icons
    Add AI to Your Toolkit

    Work on no/ low code tools like Zapier and n8n to build agentic workflows which automate reporting

  • icons
    Unlock Microsoft Credentials

    Access official content on PL-300 prep and industry analytics in manufacturing, marketing, finance

Data Analyst Certification Overview

Designed for early to mid-level professionals entering or advancing in data analytics, this course builds your ability to prepare and visualize data, uncover insights, and use AI to automate workflows and solve business problems.

Key Features

  • Master every stage of analytics, from statistics, data pipelines and ETL to SQL, Python and Excel analysis, visualization and AI-driven automation
  • Build interactive dashboards and data stories in both leading BI tools - PowerBI and Tableau
  • Use Copilot in Excel, GenAI-assisted SQL and Python, AI insights in Tableau and Power BI, and prompt engineering for analytics tasks
  • Build no-code agentic automations with n8n, Zapier, Make and Power Automate to automate reporting, alerts and insights.
  • Apply analytics to Manufacturing, Marketing and Finance through official Microsoft content, building industry-specific skills
  • Get dedicated training for the Microsoft PL-300 certification, covering data modeling, DAX and dashboard design
  • Build a job-ready portfolio with hands-on projects across marketing, retail, airline operations and sales intelligence, capped by an AI-powered capstone
  • Gain hands-on experience with Jupyter Notebook, Pandas, Scikit-learn, MySQL Workbench, Seaborn, n8n, Zapier, GitHub and more

Data Analyst Course Advantage

On completing the program, you'll earn industry-recognized credentials from Simplilearn and Microsoft Learn. They validate the skills you've built and help you stand out in a competitive job market.

  • Master's Certificate

    Earn your Data Analyst Certificate

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

    Get ahead with Microsoft advantage

    • Exclusive courses from Microsoft
    • Microsoft course completion certificates

About Data Analyst Course

What are the main learning objectives of the Data Analytics course?

The primary objective of this data analytics course is to help you learn data analysis and build practical skills in database management with relational databases, use R and Python for data manipulation and data wrangling, apply visualization techniques, use statistical methods in a business analysis context, and use AI tools to speed up analysis and automate workflows.

  • Mastering the advanced analytics tools and techniques used in the industry.

  • Learning foundational concepts to write SQL queries, including with GenAI assistance, and retrieve data stored in relational databases.

  • Mastering programming concepts in R and Python to manipulate data, perform exploratory data analysis, and handle transforming data using libraries like NumPy and pandas.

  • Developing communication skills and data storytelling by learning to create visualizations and interactive dashboards using visualization tools like Tableau and Power BI.

  • Understanding how to apply statistical analysis, summary statistics, and statistical inference, alongside machine learning, predictive models and hypothesis testing, to extract meaningful insights, draw insights for business problems, and support data-driven decisions.

  • Using AI tools such as Copilot in Excel, GenAI-assisted SQL and Python, and prompt engineering to speed up analytics tasks.

  • Building no-code agentic automations with n8n, Zapier, Make and Power Automate to automate reporting, alerts and insights.

Who should take this data analytics course?

Our data analytics course is designed for:

  • Beginners looking to start learning data analytics and enter the data analytics field

  • Fresh graduates in computer science, statistics, mathematics, or business

  • Working professionals in IT, finance, marketing, or operations who want to upskill

  • Career changers seeking entry into analytics-driven roles

  • Non-technical professionals who want to learn data analytics by building data literacy, picking up key concepts in statistics, and using spreadsheet software like Microsoft Excel (including lookup functions and data validation) alongside SQL

Unlike many data analytics courses, this curriculum makes data analysis easy to grasp for both beginners and professionals aiming for career growth.

Do I need coding experience to take this data analysis course?

No prior coding experience is required. The program starts with core concepts in statistics and data fundamentals and builds up to SQL and Python programming. GenAI assistants such as Copilot and no-code automation tools support you along the way.

What skills will you learn in this course?

Our data analytics course covers in-demand skills to ensure you are job-ready. These include:

  • Data analytics fundamentals

  • Statistical analysis using Excel

  • Data analysis with Python and R

  • Data visualization with Tableau and Power BI

  • Linear and logistic regression modules

  • Clustering with K-Means

  • Supervised learning techniques

  • Unsupervised learning techniques

  • Hypothesis-driven decision making

  • Excel with Copilot

  • No-code and low-code workflow automation

  • AI agents

Along with these, you’ll work on hands-on projects and case studies using real-world data sets, ensuring your skills are aligned with industry needs.

Does this course include real-world projects?

Yes. Hands-on learning is a core part of this Data Analytics course. Throughout the program, you will work on 10+ industry-focused projects along with a final Capstone project that combines the concepts and skills learned during the training.

These assignments span domains such as HR, retail, e-commerce, marketing, insurance, airline operations, hospitality, and public safety, giving you experience in exploratory data analysis, SQL, dashboarding, and AI-powered automation.

You will work with complex datasets that require data collection and data cleaning, similar to those handled by a data scientist in real business environments.

Why become a Data Analyst?

Today, businesses across all industries rely on data-driven decision making to remain competitive, and they need qualified data analysts to make sense of massive and complex data sets and make better-informed decisions. Becoming a data analyst opens many high-paying, rewarding career opportunities.

Professionals proficient in data analytics can apply their skills to many other job roles throughout their careers, as well. This Data Analyst training program will enable you to master descriptive and inferential statistics, hypothesis testing, regression analysis, data extraction and ETL, data visualization, dashboarding, and AI-powered automation to help you meet the increasing demand in this field.

12+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis using Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using KMeans
  • Supervised Learning
  • Unsupervised Learning
  • Hypothesis driven decisions
  • No and Low code workflows
  • AI agents
  • Excel and Copilot

21+ Tools Covered

Microsoft Excelpower bipythonRtableauMySQLFSDJUPYTERVisual Studio Code (VS Code)ChatGPTZapierVT_PM_CopilotSlack_NewPD - n8nPD - GitHubpandasNumPyMatPlotlibMake_AIAutomationGoogleSheets_AIAutomationSeabornPlotly

Industry Projects

  • Project 1

    Retail Sales Performance Analysis

    Use Excel formulas, PivotTables, charts, and Copilot to investigate sales and profitability

    Retail Sales Performance Analysis
  • Project 2

    ECommerce Sales Dashboard in Excel

    Analyze store data in Excel to build interactive dashboards that track sales trends, product

    ECommerce Sales Dashboard in Excel
  • Project 3

    Retail Point of Sale Analysis

    Use SQL to examine transactions, customer segments, product categories, and returns

    Retail Point of Sale Analysis
  • Project 4

    Air Cargo Analysis with SQL

    Apply SQL to historical airline data to uncover trends, build analytical reports, and drive improvements in service quality and customer satisfaction

    Air Cargo Analysis with SQL
  • Project 5

    Employee Performance Mapping

    Design an SQL database to map employee performance, generate appraisal-ready reports, and help leaders make data-driven promotion decisions.

    Employee Performance Mapping
  • Project 6

    Marketing Campaign Impact Analysis

    Use Python to clean campaign data, test relationships, and recommend where to improve customer acquisition

    Marketing Campaign Impact Analysis
  • Project 7

    Customer Order Analysis with Python

    Use Python data structures to segment products, identify purchasing trends, and generate actionable insights to boost customer engagement.

    Customer Order Analysis with Python
  • Project 8

    Python Adventure Game with GitHub Copilot

    Create a text-based Python adventure game using GitHub Copilot, using loops, lists, and functions to build choices, quests, and storylines.

    Python Adventure Game with GitHub Copilot
  • Project 9

    Customer Conversion and Sales Intelligence Dashboard

    Using Tableau and Einstein AI to build an interactive view of the sales funnel and communicate the findings

    Customer Conversion and Sales Intelligence Dashboard
  • Project 10

    Crime Analytics Dashboard with Tableau

    Build a Tableau dashboard and story to monitor crime statistics, reveal hotspots, and inform data-driven decision-making for city authorities.

    Crime Analytics Dashboard with Tableau
  • Project 11

    Regional Sales Performance in Tableau

    Design a Tableau dashboard to compare sales trends between two regions, identify growth drivers, and optimize regional strategies.

    Regional Sales Performance in Tableau
  • Project 12

    Zomato Data Reporting with Power BI

    Build a Power BI report to explore Zomato’s global restaurant data by location, cost, ratings, and cuisines for deep business performance insights.

    Zomato Data Reporting with Power BI
  • Project 13

    Insurance Metrics Dashboard in Power BI

    Develop a Power BI dashboard to track, compare, and visualize performance metrics across ten regional insurance companies in real time

    Insurance Metrics Dashboard in Power BI
  • Project 14

    Airline Operations ampamp Delay Analysis

    Build an interactive Power BI dashboard that visualizes flight trends, punctuality, and delay causes across airlines and airports, helping management make data-driven decisions

    Airline Operations ampamp Delay Analysis
  • Project 15

    AI Powered Lead Management Automation

    Capture, classify, and route leads; notify the sales team; and create a recurring report using workflow automation with Zapier

    AI Powered Lead Management Automation

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

prevNext

Program Trainers

  • Amit Goyal

    Amit Goyal

    10+ years of experience

    Data Science Corporate Trainer

  • Shruti Nigam

    Shruti Nigam

    10+ years of experience

    Data Analytics Corporate Trainer

  • Mohammed Sadiq

    Mohammed Sadiq

    10+ years of experience

    Corporate Trainer

prevNext

Join the Data Analytics industry

India’s analytics market is compounding at 26.37% a year through 2034, with a more aggressive Grand View estimate putting it at 36.1% and $47.5 billion by 2033.

Job Icon40%

Growth in data analyst and data scientist jobs worldwide by 2030

Source: visualcapitalist.com
Job IconUS$28.9B

India's data analytics market by 2034, up from US$4.4B in 2026

Source: Imarcgroup.com
Job Icon25 to 45%

Salary increase for professionals who moved into data science or AI roles

Source: TeamLease Digital

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
    Cognizant
    Dell
    Netflix
    Amazon
    Infosys
    LinkedIn
    BookMyShow
    Ola
    Pidilite
    Reliance Digital
    Aditya Birla
    Disney Star India

Learner Reviews

Financing

The admission fee for this program is $1,449

Total Program Fee

$1,449

Pay In Installments, as low as

You can pay monthly installments using our payment partners with low APR and no hidden fees.

Data Analytics Training FAQs

  • What specific data analytics tools are covered in this course?

    The program provides hands-on experience with more than 20 industry-standard tools, including the key tools essential for data analysis, visualization and automation.

    The curriculum is designed to ensure proficiency in a comprehensive suite of software, covering everything from spreadsheets and databases to advanced programming languages, business intelligence platforms and AI automation tools. The curriculum provides hands-on training with the following essential software:

    • Spreadsheet and Database Tools: The course covers Microsoft Excel (with Copilot) for business analytics and MySQL for data storage, retrieval, and manipulation.

    • Programming Languages: There is in-depth training on both Python and R, the two most in-demand open-source languages for data science and analytics.

    • Python Libraries: You will work with key Python libraries, including NumPy for multi-dimensional arrays, pandas for data manipulation, Scikit-learn for machine learning, and Matplotlib, Seaborn and Plotly for data visualization.

    • Business Intelligence (BI) Tools: The program includes a dedicated module on Tableau and an elective on Power BI, two of the most globally recognized data visualization tools.

    • AI and Automation Tools: You will use ChatGPT, GitHub Copilot, and no-code automation platforms such as n8n, Zapier, Make and Power Automate.

    • Development Tools: You will work in Jupyter Notebook, VS Code and GitHub.

  • What AI skills will I learn in this course?

    You will use artificial intelligence (AI) tools in your analysis: Copilot in Excel, GenAI-assisted SQL and Python, and AI insights in Tableau and Power BI. You will also learn prompt engineering for analytics tasks. You will also build no-code agentic automations with n8n, Zapier, Make and Power Automate to automate reporting, alerts and insights, and finish with an AI-powered capstone project.

  • Does this program prepare me for the Microsoft PL-300 certification?

    Yes. The program includes dedicated PL-300 preparation through the elective “AI-Powered Dashboards with Power BI and PL-300 certification training”, covering data modeling, DAX and dashboard design.

  • What are the benefits of getting a Data Analytics Certification?

    • Data analytics certification helps you build job-ready analytical skills and improve your career opportunities in a fast-growing field.

    • You gain hands-on experience with industry tools such as Excel, SQL, Python, R, Tableau, Power BI, and AI tools like Copilot and workflow automation platforms such as n8n and Zapier through practical assignments and a final Capstone project.

    • You earn a Data Analyst Certificate from Simplilearn along with Microsoft Learn course completion certificates.

    • It helps validate your skills, supports career switching or upskilling, and improves your chances of qualifying for roles in data analytics and business intelligence.

    • You also receive access to professional support services, including resume building, interview preparation, and job assistance.

  • Can I pursue this data analysis course while working full-time?

    Yes, our data analyst program offers flexible learning formats that include live online classes, self-paced modules that let you learn at your own pace, recorded lectures, and weekend sessions. This allows you to balance your career while building new skills without disrupting your schedule.

  • Can I still complete the course if I miss a live online class?

    Learners can access session recordings if they miss a live class. This allows them to review the concepts at their convenience and stay on track with the learning schedule.

  • What happens if I get stuck on a difficult problem or a statistical concept?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated expert team that provides on-demand assistance to answer any questions you may have regarding the course. You can receive detailed explanations on complex topics, clarify your doubts and receive personalized guidance.

  • Can I get an extension if I need more time to complete the program?

    Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

  • Do I retain lifetime access to the course materials, video lectures, and project files after completion?

    Yes, you will have lifetime access to the course materials, recorded video lectures, project files, and community forum, even after completing the course with us.

  • What does a data analyst do on a day-to-day basis?

    A data analyst uses analytical skills and statistical tools to make sense of raw data, identify trends, and present findings to help businesses make better-informed decisions. Their daily tasks involve a structured process of working with data, from its initial collection to the final presentation of insights. This process involves several distinct daily activities:

    • Data Gathering: They identify and import relevant data from various sources.

    • Data Cleaning: They clean and organize data, which involves handling duplicate, inaccurate, incomplete, or missing information to ensure data quality.

    • Data Analysis: They analyze data using data science, statistical, and machine learning techniques for interpreting data and predicting future outcomes.

    • Data Presentation: They focus on data storytelling and communicating insights through clear dashboards in Power BI and other visualization software for key stakeholders.

  • What do learners say about Simplilearn’s Data Analyst courses?

    Professionals who completed Data Analyst courses with Simplilearn shared their experience on LinkedIn:

    1. Faizan Hassan: “Excited to announce that I have successfully completed the Master Program in Data Analyst from Simplilearn!” “I’ve acquired a solid foundation in data analytics, including data manipulation using MYSQL and Python, Data visualization using Microsoft Power BI and Tableau, statistical analysis, Machine learning, and much more.”Read review

    2. Yadukrishnan J: “I’ve officially completed my Master’s program in Data Analytics from Simplilearn.” “I’m immensely grateful to Simplilearn for the comprehensive curriculum and the outstanding instructors who shared their vast knowledge and experiences.”Read review

    3. Utkarsh Dwivedi: “I have successfully completed Data Analyst Master’s Program covering 7 courses with industry projects & 11 elective self-learning courses from Simplilearn.” “Thanks to Simplilearn and esteemed faculty for helping me achieve this milestone through their excellent learning platform with incredible instructors, structured course materials, and a helpful support team.”Read review

    4. Mallika Vaznaik: “Completed the Master’s program developed by Simplilearn to become a certified Data Analyst.” “This has been one of the most challenging online courses I’ve completed so far.”Read review

    5. Shreyas Sugandhi: “I’m excited to announce that I’ve completed the Data Analytics Master’s Program from Simplilearn!” “I also gained hands-on experience with a variety of data analytics tools, including Excel, Tableau, Power BI, Python, and MySQL.”Read review

    6. Sanjeev Kumar: “I’m excited to announce that I’ve completed the Data Analyst Master’s Program from Simplilearn!” “The capstone project of the program was a real-world, industry-aligned data analytics problem.” “I’m confident that the skills I learned in this program will help me succeed in my career.”Read review

    7. Sarav Deep Singh: “I’m happy to share that I have successfully completed the Data Analyst Master’s Program from Simplilearn!” “I gained hands-on experience in data analysis, statistical tools, and visualization techniques using platforms like Excel, SQL, Python, Power BI, and Tableau.”Read review

    8. Gaurav Singh: “I’ve successfully completed the Data Analyst Masters Program from Simplilearn with distinction!” “Tableau: Developed the ability to build interactive dashboards, making it easier to visualize and communicate data-driven results.”Read review

    9. Prince Kumar: “Excited to share that I have successfully completed the Data Analyst Master’s Program from Simplilearn!” “I also worked on industry-relevant projects which helped me apply these skills practically.”Read review

    10. Jasvinder S.: “Glad to share that I have completed Data Analyst Master Program from Simplilearn.” “[3rd accomplishment in Simplilearn’s Master Program Certification’s]” “Usually we do basic analytics using MS Excel, taking out data using SQL but here the learnings covered on using Analytics tools like Microsoft’s PowerBI, R Studio, Tableau for doing more in-depth Analysis.”Read review

    11. Shreya Sarraf: “After 9 months of dedication, learning, and hands-on experience, I’m thrilled to announce that I’ve successfully completed my Data Analyst Certificate Course!”Read review

  • What are some success stories from Simplilearn’s Data Analyst course learners?

    Learners in these stories reported salary hikes of 10% to 65% and moves into data analyst roles after the program:

    1. Ankit: 65% salary hike. He moved from Senior Operations Executive at Swiggy, after a year at Flipkart, to Data Analyst at Duxes Labs. He chose Simplilearn after comparing courses online, because the syllabus gave the best value for the price. He says the classes were interactive, the instructors guided him step by step through his projects, and the mock interviews built his confidence. The program also improved his communication skills. He left Swiggy once he finished and was hired after two months and around ten interviews.Watch video

    2. Yashu Rastogi: 35% salary hike. She went from Data Analyst at UST to IT Analyst at a Sweden-based multinational. “The knowledge gained and skills developed during my upskilling journey with Simplilearn helped me land my current job with a 35% salary hike.”Read story

    3. Suraj Chander: 10% salary hike. He moved from Data Analyst at Unified International Trading & Contracting to Data Analyst at Aideas Engineering. “I gained a positive impact on my career as I landed a new job with a 10% salary hike.”Read story

    4. Prateek Deo: career switch into data analytics. He went from Team Lead at the Madhya Pradesh electricity board to Data Analyst at Avalon Solution. “One of the most significant outcomes was securing a data analyst role through Simplilearn’s recruitment support.”Read story

    5. Prasann Prem: from mechanical engineering to data analytics. He moved into data analytics from a mechanical engineering background and now works at American Express GBT. He learned live from industry experts in a well-structured course, and says the career switch felt easy.Watch video

  • How much do data analysts earn on average in 2026?

    Data analysts are well-compensated globally, though salaries can vary based on factors like skills, location, company, and years of experience. The program equips you with the advanced skills that are in high demand and often associated with higher salary brackets in the industry.

    • Average US Salary: The average starting salary for entry-level data analysts in the United States is over$82,640.

    • Average India Salary: In India, the average salary for a data analyst is₹6.8 Lakhs.

Recommended Learning Materials for Upskilling

Explore free webinars, tutorials, career guides, and practical reads to go deeper