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Complete Program in Data Analysis

  • Last Update : April 08, 2026
  • English, Hindi
  • 600+ Student Enrolled
Development course
4.9 (70 Review)
3 Months . All Levels
Courses Description

Master data analysis with this complete program—learn Python, statistics, data visualization, and machine learning to turn raw data into actionable insights.

What you'll learn
  • Module 1: Introduction to Data Analysis Learning Objectives Understand data analysis fundamentals Master Excel for data analysis Learn basic statistical concepts Topics Covered What is data analysis Types of data and data sources Excel fundamentals and functions Data cleaning in Excel Basic statistical concepts Introduction to business intelligence
  • Module 2: Advanced Excel and Power BI Learning Objectives Master advanced Excel techniques Learn Power BI fundamentals Create effective dashboards Topics Covered Advanced Excel functions Pivot tables and charts Data modeling in Excel Introduction to Power BI Creating dashboards Data visualization best practices
Requirements
  • Basic Computer Knowledge
  • Laptop / System Access
  • Time Commitment & Practice
  • Logical Thinking & Problem-Solving Mindset
Course Curriculum & Related Content
  • Curriculum
    • Phase 1: Foundation & Fundamentals of Data Analytics – Basics, Workflow, Types of Data, 7Qs Framework, Glossary of Analytics Terms 1 week
    • Phase 2: Types & Methods of Analytics – Descriptive, Diagnostic, Predictive Analysis 2-3 days
    • Phase 3: Subjective Topics – Math & AI/ML for Analytics 1–2 weeks
    • Phase 4: Workflow of Data Analytics (Core + Advanced) – Data Cleaning, Wrangling, EDA, Dashboards, Reporting, AI Integration 2–3 weeks
    • Phase 5: Tools & Technologies for Analytics – Excel, SQL, Python, R, Power BI, Tableau, Google Analytics, Google Forms, Other BI Tools, AI for Analytics 5–6 weeks
    • Phase 6: Advancement & Innovation – Augmented Analytics, Workflow Automation, Emerging Trends, Innovative Visuals 4–5 days
    • Phase 7: Revision & Consolidation – Workflow Review, Tool Mastery, Statistical Modeling 4–5 days
    • Phase 8: Client Projects, Case Studies & Internship – Live Projects with Real-World Datasets 30 days
    • Phase 9: Interview Preparation & Job Placement – Resume, Mock Projects, Case Studies, Networking 7 days
  • Tools

    Excel – Advanced Analysis, Pivot Tables, Power Query, Macros

    SQL – Queries, Joins, Aggregations, Subqueries

    Python – Pandas, NumPy, Matplotlib, Seaborn, scikit-learn

    R – Statistical Modeling, ggplot2, Shiny Dashboards

    Power BI – Dashboards, DAX, Automation, AI Visuals

    Tableau – Visual Storytelling, Dashboards, Advanced Analytics

    Google Analytics & Forms – Traffic Analysis, Surveys, Reporting

    ETL & Data Wrangling, Big Data, Cloud Tools, AI Tools (Alteryx, Talend, ChatGPT, Copilot)

  • Recommended Books
    • Provided By The Academy
  • Video Resources
  • Terms & Conditions

    EMI options available; no EMI if discounted price applied.
    Flexible online and offline classes.
    One year of post-course support.
    Curriculum, study material, and assignments are copyright-protected.
    Referral and group discounts up to 10%

Instructor
Amisha Chauhan
Developer, Designer and Teacher
  • 9 Courses
  • 4.6 Instructor Rating
  • 6,073 Students

Hi, I’m Amisha! I have been identified as one of Skill For Career Top Instructors and all my premium courses have recently earned the best-selling status for outstanding performance and student satisfaction.

Course Review
Nisha Jain
3 months ago
This course gave me a complete understanding of data analysis—from Python and statistics to visualization and machine learning. The practical projects helped me learn how to clean, analyze, and present data in a meaningful way. I now feel confident turning raw data into real business insights.
₹19,999₹35,000 50% off
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  • Level :Foundation
  • Course : Data AnalysisData Courses
  • Duration :3 Months
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