Data Analytics

Data Analytics uses the fundamentals of Data Science to analyse data and thus obtain useful information by processing raw data. 

Why should you learn this course?

  • The application of Data Analytics is so huge that Data Analysts find job opportunities in a spectrum of industries.

  • Job opportunities for BI engineers & Data analysts have been increasing with the increasing application of Business Intelligence in industries

  • Data Analytics helps organizations make knowledgeable and informed decisions.

  • Organizations are able to enhance customer experiencing using data analysis and provide better customer satisfaction.

  • Data Analytics instills problem solving skills in the practitioners.

Intro to Data & Data science & different Data Science fields

Statistics - Descriptive statistics

Statistics - Inferential Statistics

Statistics-Hypothesis Testing


Practical application of SQL SELECT statement

SQL Joins

SQL Subqueries

SQL Stored Routines

Tableau intro

Tableau Functionalities

Combining SQL and Tableau

Introduction to programming with python


Software Integration


Integrating Python and SQL

Using Tableau to analyze the predicted output

Data Analytics can shape business processes, improve decision making, and promote business growth by converting raw data into actionable insights.
The main feature of Data Analytics is ELT - Extraction, transformation and Loading. This feature is especially useful when there is instability in data coming from the sources.
The prominent languages used in Data Analytics is Python, MySQL and SQL.
- Statistical Concepts
- Descriptive, Predictive, Prescriptive Concepts
- Data Maintenance and Data visualization Concepts
A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.
Enrolled: 0 students
Level: Beginner

Working hours

Monday 9:30 am - 7.30 pm
Tuesday 9:30 am - 7.30 pm
Wednesday 9:30 am - 7.30 pm
Thursday 9:30 am - 7.30 pm
Friday 9:30 am - 7.30 pm
Saturday 10:00 am - 7.00 pm
Sunday 10:00 am - 7.00 pm