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Data Analytics Course

Career Course
  • Eligibility: Graduate with Maths as one of the subject.
  • Lecture Duration: 4 months
  • Placement: 100% Placement Assistance
  • Job Profile: Data Engineer, Data Analyst
  • Mode of Lecture: Online/ Offline
Data Science

It is an interdisciplinary field that combines mathematics, computer science, and business knowledge to process and interpret complex data. Practitioners clean raw data, apply statistical models, and use machine learning to generate predictions or solutions. This process transforms unstructured data into strategic business value.

Key process steps:

  • Data collection from sources like databases or sensors.
  • Cleaning and preparation to ensure accuracy.
  • Analysis using tools like python or r for patterns and modeling.
  • Visualization with tableau or power bi for clear communication.

Learning Data Science equips you with skills for high-demand IT roles, enhancing employability in india's booming tech sector. It offers lucrative salaries, versatility across industries, and the ability to solve real-world problems through data-driven insights.

Why you should learn Data Science:

Due to its high job demand, India anticipates over 11 million data science and analytics jobs by 2026, driven by AI and digital transformation. Open positions exceed 200,000 annually, with roles like data scientist and analyst growing 36% globally by 2031. This surge aligns with boosting graduate placements.

Job Market Demand

Data Scientists in India earn competitive pay, with mid-level roles often surpassing ₹10-20 lakhs yearly. Entry-level positions start strong, offering rapid advancement for skilled professionals. High demand ensures job security and financial rewards. Data Science remains relevant amid AI investments, with opportunities expanding beyond metros to smaller cities. Data science roles offer strong employability with average salaries exceeding ₹10-15 lakhs annually for mid-level positions, demand surges in sectors like Fintech and e-commerce, making it ideal for your institute's programs. Training in cloud-integrated data science boosts graduate placement rates.

Course Contents
Python:

Functions

Packages

File Handling

Oops Concepts

Database Access

Introduction to RDBMS

Working with csv , xml and Json files

Data Analytics

Introduction to Numpy

Introduction to Pandas

Operating on data

Handling missing data

Working with time series

SQL

Introduction to Basic Database Concepts

E-R Modelling and Diagram

Normalization

DDL and DML Statements

Working with Queries (DQL)

Aggregate Functions

Joins and Set Operations

Implementation of Data integrity

Working with Constraints

Data Control language (DCL)

Writing Transact-SQL (T-SQL)

Working with Stored Procedures and Functions

Implementing Triggers

Tableau

Introduction

Field Types and Visual Cues

Tableau Desktop

Opening and Closing Tableau

Data Source Page

Data Terminology and Definitions

Data Connections in the Tableau

Organizing and Simplifying Data

Formatting and Annotations

Tableau Generated Fields

Chart Types

Mapping

Statistics

Dashboards

OR

PowerBI

Introduction of Power BI

Installation

Power Query Editor (ETL),

Visualization and Reports

Dashboard Basic

Filters and Slicers

Calculated Columns and Measures

Calculated Tables and Data Modelling

DAX Function

Advance Excel

Advanced formulas and functions

Formula referencing

Reference functions

Pivot table

Logical functions

Lookup functions

Statistical and financial functions

Data management analysis

Data validation

Sorting and filtering

Data visualization

Automation and security

Macro basics

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