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Course on Data Analyst

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Turn Data. Into Insights.

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Data Analyst Course

(6-8 Months · Beginner → Intermediate)
Skill level: Beginner
  • 1

    Introduction to Data Analytics

    What is Data Analytics, Role, Lifecycle, Types of Data (Structured vs Unstructured), Tools used in Data Analysis (Excel, SQL, Python, Power BI).

  • 2

    Mastering Microsoft Excel for Data Analysis

    Excel, Data Cleaning & Formatting, Formulas, Functions & Conditional Formatting, Data Sorting, Filtering & Validation, Pivot Tables & Charts, Basic Dashboard Creation.

  • 3

    SQL for Data Management

    Tables, Rows, Columns, Keys, SQL Queries, Joins, Group By & Aggregate, SQL Practice.

  • 4

    Data Visualization with Power BI / Tableau

    Introduction to Power BI Interface, Importing & Cleaning Data, Building Interactive Dashboards, Charts, KPIs, and Custom Visuals, Publishing Reports Online

  • 5

    Introduction to Python for Data Analysis

    Setting up Python & Jupyter Notebook, Python Basics: Variables, Lists, Loops, Functions, Libraries for Data Analysis (NumPy, Pandas, Matplotlib), Reading & Writing CSV/Excel Files, Data Cleaning using Pandas

  • 6

    Exploratory Data Analysis (EDA)

    Data Patterns & Outliers, Correlation & Covariance, Handling Missing Values, Data Transformation & Encoding, Visualization using Seaborn & Matplotlib, Drawing Insights from EDA

  • 7

    Business Intelligence & Reporting

    BI Tools Overview (Power BI, Google Data Studio), Building Automated Reports, Data Storytelling Techniques, Real-Time Dashboards & Visual Reports

  • 8

    Final Project & Career Preparation

    Building a Portfolio Dashboard, Resume Building, Mock Interviews & Career Guidance, Certification.