What is DATA ANALYTICS?
Gain in-demand skills in Data Analytics, Business Intelligence, and Machine Learning with comprehensive training in Advanced Excel, Power BI, Tableau, Python, SQL Database, and Data Visualization. Learn how to collect, manage, analyze, and interpret data using modern analytical tools and reporting techniques. The course also covers Machine Learning concepts, Web Analytics, ERP System Data Collections, and real-time business data processing to help learners understand data-driven decision-making and enterprise workflows. Enhance your professional growth through Personality Development sessions focused on communication, leadership, teamwork, and workplace readiness. Designed for students, professionals, and aspiring analysts, this program provides practical exposure through live projects, dashboards, reports, and business intelligence applications for modern industries
This program is designed to take you from a complete beginner to a job-ready professional. We focus on practical skills, industry best practices, and the latest tools used by top tech companies globally.
Course Syllabus
Module 1: ADVANCED EXCEL
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Introduction
Home tab, Perform calculations with functions, Sort and filter data with excel, Formatting Cells, Insert Comments ,Define name , Conditional formatting, Pivot Tables , Pivot Charts , VLOOKUP ,Dependent drop down List, HLOOKUP, Sum if
Module 2: POWER BI
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Introduction
Data Connection, Power Query (Data Transformation), Data Modeling, DAX, Data Visualization, Advanced Visual Features, Interactivity & Publishing
Module 3: TABLEAU
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Introduction
Basics, Core Concepts, Visualizations, Data Handling, Mapping, Intermediate Features, Data Modeling, Dashboarding
Module 4: PYTHON
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Introduction
Variables & Data Types, Operators, Conditional Statements, Loops, Strings, Lists, Tuples, Sets & Dictionaries, Functions, File Handling, Exception Handling, Object-Oriented Programming, Modules & Packages
Module 5: DATA VISUALIZATION
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Introduction
Data Visualization, Matplotlib, SEABORN, Visualization Purpose
Module 6: SQL
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Introduction
Table Creation & Database Management, Data Manipulation Language (DML), Data Retrieval & Filtering, Aggregate Functions & Grouping, Advanced SQL Operators & Conditions, SQL Joins
Module 7: MACHINE LEARNING
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Introduction
Types of Machine Learning,Supervised Learning,Unsupervised Learning,Reinforcement Learning
Module 8: Personality development
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Module 1
Positives and negatives
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Module 2
Personality development tips and personality traits
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Module 3
What interviewers expect from you
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Module 4
Interview stages 1
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Module 5
Interview stages 2
Frequently Asked Questions
Who can join the Data Analytics course?
Students, graduates, working professionals, and beginners from any educational background can join this course.
What tools are covered in this course?
The course covers Excel, SQL, Python, Power BI, Tableau, and basic statistics.
Is coding required for Data Analytics?
Basic coding knowledge is helpful, but beginners can easily learn the required programming concepts during the course.
What job roles can I apply for after this course?
You can apply for roles such as Data Analyst, Business Analyst, Reporting Analyst, Power BI Developer, and SQL Analyst.
Will I get a certificate after completing the course?
Yes, you will receive a certification after successful course completion.