Chat with us
Book a Demo

Data Analytics

Learn to visualize and analyze data using Python, Excel, SQL, and Power BI. From data mining to insights.

500+ students (4.8/5)
Data Analytics

Course Highlights

Duration

3 Months

Mentor

Industry Experts

Class mode

Online/Offline

Timing

Weekday/Weekend

Language

Tamil/English

Qualification

Freshers/Experienced

Internship

1 - 3 months

Placement

100% Job Guaranteed

Tools Covered

Python
Python
Excel
Excel
SQL
SQL
Power BI
Power BI
Tableau
Tableau
Pandas
Pandas
NumPy
NumPy
Matplotlib
Matplotlib
Seaborn
Seaborn
Databricks
Databricks

Course Curriculum

1Advanced Excel for Data Analytics
  • Mastering Formulas: VLOOKUP, HLOOKUP, XLOOKUP, and Index-Match.
  • Data Cleaning: Text functions, removing duplicates, and data validation.
  • Pivot Tables & Dashboards: Creating dynamic summaries and interactive slicers.
  • Power Query: Automating data import and transformation.
  • Statistical Analysis: Using Analysis ToolPak for regression and forecasting.
2SQL Mastery (Structured Query Language)
  • Database Basics: DDL, DML, and DQL commands.
  • Advanced Querying: Joins (Inner, Left, Right, Full), Unions, and Subqueries.
  • Window Functions: ROW_NUMBER, RANK, and LEAD/LAG.
  • Data Definition: Creating and Managing Tables, Views, and Indexes.
  • Optimization: Writing efficient queries for large datasets.
3Python for Data Science
  • Python Fundamentals: Syntax, Data structures, and Flow control.
  • NumPy: Numerical computing and array manipulation.
  • Pandas: DataFrames, Series, and advanced data cleaning.
  • Matplotlib & Seaborn: Visualizing trends and distributions.
  • Intro to Scikit-Learn: Basic predictive modeling and regression.
4Power BI Visualization
  • Power BI Desktop: Connecting to diverse data sources.
  • DAX (Data Analysis Expressions): Writing complex measures and calculated columns.
  • Data Modeling: Creating relationships and star schemas.
  • Interactive Reports: Designing executive-level dashboards.
  • Power BI Service: Publishing, sharing, and scheduled refreshes.
5Tableau Visual Analytics
  • Tableau Architecture: Sheets, Dashboards, and Stories.
  • Calculated Fields: Using LOD (Level of Detail) expressions.
  • Mapping: Creating geographic and dual-axis maps.
  • Level of Detail (LOD) Expressions for granular analysis.
  • Publishing & Collaboration on Tableau Server/Public.

Batches

Regular Classes
TIME10:30 AM IST
BATCH TYPEWeekday (Mon-Fri)
Fast Track
TIME07:00 AM IST
BATCH TYPEWeekday (Mon-Fri)
Placement Classes
TIME11:00 AM IST
BATCH TYPEWeekend (Sat-Sun)

Frequently
Asked Questions

Still have any Question?

Send us an email and we’ll get back to you as soon as possible!

Do you provide live projects?
Yes, we provide multiple real-time live projects to help you gain hands-on experience.
Do you provide internship opportunities?
Yes, internship opportunities are provided based on performance and availability.
How many real-time applications can I develop after this course?
You can develop 5–10 real-world applications by the end of this course.
Are the trainers working professionals?
Yes, all our trainers are industry experts and working professionals.
Do you support placements?
Yes, we provide 100% placement assistance including interview preparation.