DATA ANALYTICS
Data Analytics is the process of examining data to uncover patterns, trends, and insights that support better decision-making and business performance.
Full Stack Training with Real-World Projects
- Why Analytics?
- What is Analytics?
- Where are the opportunities?
- How to be a prepare for Analytics jobs?
- What does a Analytics Professional do?
- Introduction to Python
- Control Statements in Python
- Data Structures in Python
- Functions in Python
- Problem Solving using Python
- Introduction to Excel
- Excel Formulae and Functions
- Pivot Tables & Charts
- Dashboarding on Excel
- Data Cleaning & Formatting Techniques
- Introduction to MySQL
- Basic Data Filtering using MySQL
- Joins & Unions in MySQL
- Sub Queries and Nested
Queries- Window Function
- Data Wrangling using Numpy
- Data Wrangling using Pandas
- Data Visualisation using Matplotlib
- Data Visualisation using
Seaborn - EDA using Python
Course Requirement
This course requires basic knowledge of following subjects :
- Computer Fundamentals
- Operating System
- Any Programming language
Duration : 4 Months (5 Days a week)
FAQ’S
Data analytics (DA) involves analyzing data sets to uncover trends and draw conclusions based on the information they provide.
It enables businesses to convert raw data into actionable insights, supporting informed decision-making and driving success.
Professionals need expertise in analyzing data and translating it into meaningful insights for business growth.
Businesses across industries rely on data analytics to inform strategies and improve outcomes.
They analyze data collections to identify trends and provide insights that guide business decisions.
By transforming raw data into useful knowledge, it helps businesses make strategic, data-driven decisions.