0
SUBTOTAL :
empty cartcheckout
Complete Data Analyst Course with Excel,SQL, Python and Power BI Training

Complete Data Analyst Course with Excel,SQL, Python and Power BI Training

Size
Price:
Add to CartProduct Added View Cart Checkout
Product Tags:

Read more

 2 Months/20 Hours                                                  Price: 85,000

                                                                                     80,000

Complete Data Analyst Course with Excel, SQL, Python, and Power BI Training


Data is the foundation of every wise choice, but what distinguishes top professionals is their ability to read, evaluate, and present data.

The Complete Data Analyst Course is a methodical, practical course created to assist you in developing useful data analytics abilities from the ground up. Using industry-standard technologies, you will learn how to gather data, clean it, examine trends, and turn raw numbers into insightful knowledge.

Key Learnings

🔹 Excel for Data Analysis

  • Data cleaning and preparation
  • Advanced formulas and functions
  • Pivot Tables and Pivot Charts
  • Interactive dashboards and reports
  • Business-focused data analysis

🔹 SQL for Data Analysis

  • Writing efficient SQL queries
  • Data filtering, sorting, and aggregation
  • Working with multiple tables using joins
  • Subqueries and real database scenarios
  • Extracting insights from large datasets

🔹 Python for Data Analysis

  • Python fundamentals for analysts
  • Data analysis using Pandas and NumPy
  • Data cleaning and transformation
  • Exploratory Data Analysis (EDA)
  • Data visualization techniques

🔹 Power BI & Data Visualization

  • Data modeling and relationships
  • Creating interactive dashboards
  • DAX basics for calculations
  • Visual storytelling with data
  • Presenting insights to stakeholders

Course Content

Module 1: Data Foundations

Topics

  • What is Data Analysis (real-world use cases)
  • Types of data: structured vs unstructured
  • Data lifecycle: collect → clean → analyze → visualize → report
  • KPIs, metrics, dimensions vs measures
  • Introduction to datasets (CSV, Excel, SQL tables)

Practical Work

  • Explore 2–3 public datasets
  • Identify questions data can answer

Module2: Excel for Data Analysis

Core Excel Skills

  • Data cleaning (remove duplicates, text to columns)
  • Sorting, filtering, conditional formatting
  • Formulas:
    • IF, IFS
    • VLOOKUP / XLOOKUP
    • COUNTIF, SUMIF
    • TEXT, DATE functions
  • Pivot Tables & Pivot Charts
  • Basic Excel dashboards

Practical Work

  • Clean a messy dataset
  • Build a pivot-based sales dashboard
  • Answer business questions using Excel

Module 3: SQL for Data Analysis

SQL Fundamentals

  • What is a database? Tables, rows, columns
  • SELECT, WHERE, ORDER BY
  • LIMIT, DISTINCT
  • Aggregate functions: COUNT, SUM, AVG, MIN, MAX
  • GROUP BY & HAVING

Intermediate SQL

  • JOINS (INNER, LEFT, RIGHT)
  • Subqueries
  • CASE statements
  • Date and string functions

Practical Work

  • Analyze a sales database
  • Write queries to answer:
    • Top customers
    • Monthly trends
    • Product performance

Module4: Python for Data Analysis

Objective: Use Python for deeper analysis and automation.

Python Basics

  • Variables, data types
  • Lists, dictionaries
  • Loops and conditions
  • Functions

Data Analysis Libraries

  • NumPy (arrays, calculations)
  • Pandas:
    • Reading CSV/Excel
    • Data cleaning
    • Filtering & grouping
    • Handling missing data
  • Basic visualization:
    • Matplotlib / Seaborn

Practical Work

  • Load and clean a dataset using Pandas
  • Perform exploratory data analysis (EDA)
  • Create plots for trends and comparisons

Module 5: Power BI

Objective: Build professional dashboards for decision-makers.

Power BI Fundamentals

  • Power BI Desktop overview
  • Importing data (Excel, CSV, SQL)
  • Data modeling & relationships
  • DAX basics:
    • SUM, CALCULATE, FILTER
    • Measures vs columns

Visualization & Storytelling

  • Charts, tables, slicers
  • Dashboard layout principles
  • Interactive reports
  • Publishing and sharing reports

Practical Work

Include KPIs, filters, and insights

Build a full Power BI dashboard

Who Should Enroll
  • Students and fresh graduates looking to start a career in data analytics
  • Working professionals who want to switch into a data-driven role
  • Marketing, finance, HR, operations, and sales professionals who work with data
  • Beginners who want to learn Excel, SQL, Python, and Power BI in one complete program
  • Entrepreneurs and business owners who want to make smarter decisions using data
  • Anyone interested in building a future-proof, high-demand skill set

Career Path

This course prepares learners for entry-level to mid-level data analytics roles and creates a strong foundation for advanced analytics careers.

Business Analyst

Power BI Developer

  • Data Analyst
  • Business Intelligence Analyst
  • Marketing Analyst
  • Operations Analyst
  • Power BI Developer

International Student Fees: USD 300

Job Interview Preparation  (Questions & Answers)

Stay connected even when you’re apart

Internships, Freelance and Full-Time Work opportunities

Flexible Class Options

  • Weekend Classes For Professionals
  •  SAT | SUN Corporate Group Training Available O
  • Online Classes – Live Virtual Class (L.V.C), Online Training

Related Courses

0 Reviews

Contact form

Name

Email *

Message *