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)
- Power BI Jobs Inerview
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
Stay connected even when you’re apart
- Join our WhatsApp Channel – Get discount offers
- 500+ Free Certification Exam Practice Question and Answers
- Your FREE eLEARNING Courses (Click Here)
Internships, Freelance and Full-Time Work opportunities
- Join Internships and Referral Program (click for details)
- Work as Freelancer or Full-Time Employee (click for details)
- Hire an Intern
Flexible Class Options
- Weekend Classes For Professionals
- SAT | SUN Corporate Group Training Available O
- Online Classes – Live Virtual Class (L.V.C), Online Training
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- Power Bi Advanced Course (BootCamp)
- PL-300: Microsoft Power BI Data Analyst Advanced Course
- PostgreSQL For Data Science And Data Analyst
- Certification in Business Data Analytics(CBDA ) Trainin
- Microsoft Certified Data Analyst Associate with Power BI
- Tableau Basic to Advanced (Visualizations Dashboards Software)
- Microsoft Office ( Complete Course )
- Ms Office – Advanced Excel with Outlook
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