Data Analytics Course (Advanced)

Course Overview

• Course Duration:4 – 6 Months (Including Lab Work and credential preparation Test).
• Eligibility: Beginners learners Working Professionals looking to switch to Data Analytics Anyone interested in understanding data.
• Working Professionals looking to switch to Data Analytics.
• Anyone interested in understanding data.
• Modes of Training: Online Classes/Offline Training (at selected centers).

Data Analytics Course (Advanced)

• Learn advanced data analysis and data manipulation techniques.
• Perform data cleaning, wrangling, and transformation using Python & Excel.
• Master SQL for database querying and report generation.
• Create interactive dashboards and visual insights using Power BI or Tableau.
• Understand predictive analytics, data modeling, and business intelligence.
• Earn your Advanced Data Analytics credential preparation and start a high-paying analytics career.

Overview of Data Analytics Course (Advanced)

The Data Analytics Course (Advanced) is designed for professionals, graduates, and analysts who want to master modern data analysis tools and business intelligence workflows. The course blends technical programming, visualization, and analytical thinking for real-world decision-making, giving you the strategic expertise needed to advance your career in the data-driven landscape.

Learners gain hands-on experience in Python, SQL, Power BI, and Excel, analyzing datasets to uncover trends, build dashboards, and create predictive models. By the end of this program, you'll earn your Advanced Data Analytics credential preparation, preparing you for roles such as Data Analyst, BI Specialist, or Data Scientist in top organizations.

1. Business Analytics With Basic + Advanced Excel

• Spreadsheet Formatting and Editing Features.
• Working with Charts and Simple Database Operations.
• Data Validations, Sorting and Filtering.
• Functions: IF, VLOOKUP, HLOOKUP, COUNTIF, etc.
• Working with Templates, Reports, and What-If Analysis.

2. Microsoft Power BI

• Understanding Power BI Ecosystem and Relationship with Excel.
• Connecting Power BI to Various Data Sources.
• Cleaning and Transforming Data using Power Query.
• Creating and Formatting Reports and Dashboards.
• Visualizations, Filters, Slicers, Drill-throughs.
• Using DAX for Measures, Calculated Columns.
• Applying Time Intelligence Functions.
• Mobile Dashboard and Q&A Visuals.

3. Tableau for Data Visualization

• Tableau Desktop installation and interface.
• Charts, filters, calculations, and formatting.
• Data sources, combing, roles, visual cues.
• Dashboards, stories, actions, and sharing.
• Groups, bins, hierarchies, parameters, custom charts.
• Organising and Simplifying Data.
• Formatting and Annotation.

4. Python for Data Analysis

• Python Basics, Data Types, and Control Flow.
• Functions, Modules, Date-Time, Random, and Strings.
• Dictionary Manipulations and File Handling.
• OOPs, Regular Expressions, Exception Handling.
• Database Interaction, Multithreading, etc.
• Web Scraping using Python.

5. SQL (Structured Query Language)

• Database Integrity with Primary/Foreign Key Constraints.
• DDL & DML: INSERT, UPDATE, DELETE, SELECT.
• Conditional Queries, Wildcards, Sorting.
• UNION, INTERSECT, EXCEPT.
• Aggregations: SUM, COUNT, MAX, MIN.
• GROUP BY, HAVING, Subqueries.
• CASE Expressions and NULL Handling.
• Beginner-Friendly Curriculum with Real Tools.
• Hands-on Labs in Excel, Power BI, Python & SQL.
• Real-Time Data Analytics Projects.
• Mentorship by Industry Experts.
• Resume Building, Interview Guidance, and career Referrals.