• Next cohort Starts12th Jun, 2026
  • Next cohort Starts12th Jun, 2026
  • Program Duration11 months
  • Learning FormatLive, Online, Interactive
  • Learning FormatLive, Online, Interactive

Why Join this Program

  • icons
    Microsoft Advantage

    Master Power BI and Azure Data Analytics while earning official Microsoft course certificates

    Master Power BI and Azure Data Analytics while earning official Microsoft course certificates

  • icons
    Applied Learning

    Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning

  • icons
    Data-Driven Decision Making

    Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more

  • icons
    Expert-Led Curriculum

    Gain real-world insights through live online classes led by seasoned industry experts.

Data Analyst Course Overview

This online data analyst course will transform you into a data analytics expert. In this master’s course, you’ll learn the latest analytics tools and techniques, work with SQL, R, and Python, create impactful data visualizations, and apply statistics and predictive analytics to real business challenges.

Key Features

  • Earn an industry-recognized Data Analyst Master’s certificate from Simplilearn
  • Learn through a comprehensive curriculum featuring exclusive Microsoft courses
  • Learn from industry experts through live, interactive online sessions
  • Gain hands-on experience with industry-relevant tools and packages
  • Build real-world skills through 10+ course-end projects
  • Apply your skills in a capstone project for holistic learning
  • Get lifetime access to self-paced learning resources
  • Benefit from Simplilearn’s career support services

Data Analytics Certificate Advantage

Become a data analytics expert with this Microsoft-backed program. Earn a master’s certificate from Simplilearn along with individual course certificates from Microsoft on the Microsoft Learn portal.

  • Master's Certificate

    Earn your Data Analyst Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of 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 Online Data Analyst Course

What is Simplilearn’s Data Analyst Course?

It is a comprehensive 11-month online program designed to transform you into a data analytics expert. It is delivered in collaboration with Microsoft, combining live interactive classes with hands-on learning on the latest analytics tools and techniques. The course focuses on building job-ready skills through applied learning.

Who should take this data analyst course?

Our data analyst course is designed for:

  • Beginners looking to start a career in data analytics

  • 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 are willing to build a foundation in statistics and tools like Excel and SQL

Is coding, advanced mathematics, or a university degree required to enroll in this course?

No prior experience in programming, statistics, advanced mathematics, or university degree is necessary for this course.

The course begins with Data Analytics using Excel to help you first build your problem-solving skills and strengthen your analytical mindset. Subsequently, coding and technical concepts are introduced gradually.

Which technical tools, programming languages, and skills will you learn in this course?

In this course, you will learn the most in-demand tools, programming languages, and practical skills used in modern data analyst roles across industries.

The program begins with Microsoft Excel, where you will build foundational and advanced skills in data cleaning, logical formulas, pivot tables, statistical functions, conditional formatting, and dashboard creation for reporting and decision-making.

You will then learn SQL (Structured Query Language), the core language used for working with relational databases. Training includes writing queries, joining tables, filtering and extracting data, and handling complex datasets efficiently.

The course also covers Python programming for data analytics, including concepts such as data types, loops, functions, error handling, and data manipulation. You will work with libraries like Pandas and NumPy for exploratory data analysis and statistical operations.

In addition, you will be introduced to R programming for statistical analysis, visualization, hypothesis testing, and foundational machine learning concepts such as classification and clustering.

For business intelligence and visualization, the program includes Tableau and Microsoft Power BI, where you will create interactive dashboards, perform data modeling, and generate meaningful insights through advanced reporting techniques.

You will also gain exposure to Microsoft Azure Data Analytics, including cloud-based data workflows and Power BI integration for scalable analytics solutions.

Throughout the program, you will apply your learning through hands-on projects and a final Data Analyst Capstone project focused on solving practical business challenges using data.

Does this course include real-world projects, and what types of projects will you work on?

Yes. Hands-on learning is a core part of this Data Analyst course, and throughout the program, you will work on 20+ industry-focused projects along with a Capstone project that combines the concepts and skills learned during the training.

These assignments span domains such as HR, healthcare, finance, retail, marketing, hospitality, and public safety, helping you understand a wide range of organizational and analytical challenges.

You will work with practical datasets that may be incomplete or unstructured, similar to those used in real business environments. This provides valuable industry-oriented experience and strengthens your problem-solving abilities.

Across the program, you will learn how to:

  • Define analytical goals and understand business requirements

  • Collect, clean, and interpret data from multiple sources

  • Query and manage datasets using SQL

  • Create dashboards and reports using Excel, Tableau, and Power BI

  • Perform statistical analysis, regression, and anomaly detection

  • Present insights and data-driven recommendations

Some projects also introduce advanced applications such as machine learning, predictive modeling, and AI-assisted analytics workflows to help you gain exposure to modern data analytics practices.

By the end of the course, you will have a portfolio of practical projects that demonstrates your ability to analyze data, generate insights, and solve business challenges confidently.

Data Analyst Course Learning Path

Become a data analytics expert with this Microsoft-backed program. Earn a master’s certificate from Simplilearn along with individual course certificates from Microsoft on the Microsoft Learn portal.

Learning Path

Electives:
    • 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
    • Transform your career today by mastering Power BI

  • Model Data with Power BI (Microsoft) course builds advanced modeling skills. You’ll configure semantic models by setting up tables, columns, relationships, hierarchies, and measures; write DAX formulas for custom calculations; create calculated tables, columns, and measures; modify DAX filter context; use DAX time intelligence functions; create visual calculations; and apply best practices to optimize model performance.

8+ 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

9+ Tools Covered

Microsoft Excelpower bipythonRtableauMySQLFSDJUPYTERVisual Studio Code (VS Code)ChatGPT

Industry Projects

  • Project 1

    Employee Performance Mapping

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

  • Project 2

    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.

  • Project 3

    Customer Order Analysis with Python

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

  • Project 4

    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.

  • Project 5

    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.

  • Project 6

    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.

  • Project 7

    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.

  • Project 8

    Regional Sales Performance in Tableau

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

  • Project 9

    ECommerce Sales Dashboard in Excel

    Analyze store data in Excel to build interactive dashboards that track sales trends, product performance, and category-wise revenue growth.

  • Project 10

    Predicting Restaurant Tips with Regression

    Clean and model tip data to build a regression-based predictor that estimates tip amounts and identifies factors driving customer generosity.

  • Project 11

    ChatGPTBased Storytelling Adventure

    Design an interactive storytelling platform using ChatGPT to co-create dynamic narratives where users shape plotlines, characters, and endings without coding.

  • Project 12

    Anomaly Detection in Credit Card Transactions

    Develop a real-time fraud detection system using anomaly detection techniques to accurately flag suspicious credit card transactions and reduce financial risk.

  • Project 13

    Patient Readmission Prediction

    Build a machine learning model that predicts the likelihood of patients being readmitted within 30 days, enabling healthcare providers to improve care and lower costs

  • Project 14

    Predicting Customer Purchase Behavior

    Analyze large-scale retail data to uncover customer patterns, segment buyers, and forecast purchasing behavior to drive personalized marketing strategies

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

  • Shurti Nigam

    Shurti 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

Data Analytics market is expected to maintain strong annual growth of 25–30 %, with forecasts suggesting 11 million+ new job opportunities by the end of 2026 in analytics, data science, and related data-driven roles.

Job Icon11.5 M

Expected New Jobs for Data Science and Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth by 2034

Source: 365 Data Science
Job Icon$ 62K-121K

Average Annual Salary

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

Total Program Fee

$1,449

Pay In Installments, as low as

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

Data Analytics Course FAQs

  • What is Data Analytics?

    Data analytics uses analytical and statistical tools and techniques to identify patterns and trends in raw data to answer questions, solve problems, predict future outcomes, and create better business strategies. The four main types of data analytics include:

    • Descriptive analytics: What happened?

    • Diagnostic analytics: Why did it happen?

    • Predictive analytics: What will happen in the future?

    • Prescriptive analytics: What can be done to ensure better outcomes?

    Simplilearn’s Data Analyst Course covers all these aspects and offers a comprehensive understanding of the field, including its practical applications.

  • What does a data analyst do?

    A Data Analyst is responsible for collecting, cleaning, and interpreting raw data to help businesses make informed decisions. Their job typically include:

    • Analyzing data and identifying trends

    • Writing SQL queries to extract data

    • Cleaning and organizing structured and unstructured datasets

    • Creating dashboards and visual reports using tools like Tableau and Power BI

    • Communicating insights to stakeholders and management teams

    Data Analysts help organizations solve business challenges, improve performance, and support strategic planning through data-driven insights.

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

    • Data analyst 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, and Power BI through practical assignments and a final Capstone project.

    • 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 analyst course while working full-time?

    Yes, our data analyst program is designed for working professionals. It offers flexible learning formats that include live online classes, self-paced modules, 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 change my cohort after enrolling in the program?

    Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

  • 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.

  • 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 annual salary for a data analyst in the United States is $85,605, ranges from $53,284 to $137,529.

    • Average India Salary: In India, the salary for a data analyst typically ranges from ₹4 Lakhs to ₹11 Lakhs per year. For senior data analyst it is ₹9L–₹22L/year.

    • Impact of Upskilling: Completing the course has directly led to significant salary hikes for graduates, with reported increases of 20% to 65% after securing new roles.

  • Which job titles can you apply for after completing this course?

    Upon completing the course, you can apply for numerous entry-level and beginner-friendly roles, such as:

    • Junior Data Analyst

    • Associate Data Analyst

    • Business Intelligence (BI) Analyst

    • Marketing Data Analyst

    • Operations Data Analyst

    • Data Visualization Specialist

    Some students, particularly those with a pre-existing technical background or degree, may even secure roles such as Junior Data Scientist.

  • Are there any other online courses Simplilearn offers under Data Science?

    Yes, Simplilearn offers several other Data Science Courses. These include specialized certifications, master programs, and university courses tailored to different skill levels.

    Data Science Courses from Leading Global Universities and Institutions:

    Courses

    Duration

    Data Science Course

    11 Months

    Professional Certificate in Data Analytics & GenAI

    7 Months

    Data Strategy for Leaders

    14 Weeks

    Oxford Programme in AI and Business Analytics

    12 Weeks

    Data Science with Python

    Live + Self Paced

    Power BI Certification Training

    Live + Self Paced

    SQL Certification Course

    Live + Self Paced

    Tableau Certification Course

    Live + Self Paced

    Data Science Courses from IITs & Indian Institutions:

    Courses

    Duration

    Professional Certificate Course in Data Analytics and Generative AI

    4 Months

    Professional Certificate Program in Data Analytics, Generative AI And Adaptive Systems

    6 Months