CoursesAnalytics Data Analytics
CEC 326

Data Analytics

This course explores fundamental data analysis concepts such as collection, cleaning, visualization, and interpretation. Gain skills in statistics, machine learning, and data-driven decision-making for career growth.

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22 Weeks



Mar 01, 2024





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Program Overview

Unlock the power of data with our Data Analytics course! Learn data collection, analysis, visualization, and machine learning techniques. Prepare for a successful career in data-driven decision-making.


Analyze data to derive insights and make informed decisions


Utilize statistical and machine learning techniques


Develop skills applicable to various industries


Gain a competitive edge in the job market



Data analytics welcomes students from diverse backgrounds. While Computer Science, Statistics, and Mathematics align naturally, even Commerce and Humanities students can benefit significantly.


Why should you learn?

Master data analysis techniques to uncover valuable insights, make informed decisions, and stand out in today's competitive job market, accelerating your career growth.


Possible Job Roles

Data analytics course graduates pursue roles like Data Analyst, Business Analyst, Data Scientist, Marketing Analyst, Financial Analyst, and more.

Salary Range

3 to 15 Lakhs Per Annum


Course Modules

22 Weeks COURSE

4 hours

Business Statistics

This module covers Business Statistics fundamentals and Data Analytics concepts, emphasizing data visualization and providing a foundation for analysis.
  • Introduction to Statistical Analysis

  • Introduction to Data Analytics

19 hours

Excel: Basics to Advanced

Excel module covers basics to advanced features: data manipulation, cell references, data validation, time/date functions, data analysis, formatting, sorting, filtering, lookup, and pivot tables.
  • Excel Basics

  • Data Manipulation

  • Data Analysis Overview

  • Range Names and Tables

  • Text Functions and Formatting

  • Pivot Tables

2 days, 18 hours


SQL module covers querying, filtering, sorting, functions, aggregating data, and managing database objects, with advanced topics like subqueries and set operators.
  • Introduction to Oracle Database

  • Retrieve Data using the SQL SELECT Statement

  • Restricting and Sorting Data

  • Using Single-Row Functions for Output Customization

  • Conversion Functions and Conditional Expressions

  • Aggregating Data with Group Functions

  • Displaying Data from Multiple Tables using Joins

  • Solving Queries with Sub-Queries

  • Working with SET Operators

  • Data Manipulation Statements

  • Creating and Managing Tables with DDL Statements

  • Handling Other Schema Objects

  • User Access Control

  • Schema Objects Management

  • Utilizing Data Dictionary Views

  • Managing Large Data Sets

  • Handling Data in Different Time Zones

  • Advanced Retrieval Techniques with Sub-queries

  • Regular Expression Support

1 day


This Tableau course covers data visualization fundamentals, advanced techniques, connecting data sources, creating hierarchies, pivot tables, charts, and formatting.
  • Tableau Course Material

  • Learn Tableau Basic Reports

  • Learn Tableau Charts

  • Learn Tableau Advanced Reports

  • Learn Tableau Calculations & Filters

  • Learn Tableau Dashboards

  • Server

19 hours

Power BI

This Power BI module covers essentials like connecting to data sources, creating reports, building dashboards, managing workspaces, and using DAX functions.
  • Introduction to Power BI

  • Viz and Tiles

  • Reports and Dashboards

  • Publishing Workbooks and Workspace

  • Other Power BI Components and Table Relationship

  • DAX functions

17 hours

Python Basics

This module covers Python basics: print statement, comments, data structures, types, string operations, I/O, copying, operators, and data manipulation.
  • Introduction to Python Basics

  • Python Data Structures

  • String Operations and Input/Output

  • Copying Techniques

  • Operators in Python

1 day, 1 hour

R Programming

This module introduces R programming, covering data structures, data importing, manipulation, functions, control structures, and data visualization.
  • Introduction to R

  • Understanding R data structure

  • Importing data

  • Manipulating Data

  • Using functions in R

  • R Programming

  • Charts and Plots

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Certification of Completion

Recognizes mastery in data analysis concepts, techniques, visualization, statistics, machine learning, and data-driven decision-making strategies.


Program Cohorts

Mar 2024 Batch



batch type

Admission Process at Cokonet

The course admission process at Cokonet involves streamlined procedures ensuring efficient enrollment for prospective students.

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Speak With our Career Counselor

Our career counselor will help you identify the suitable course for you.

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Complete Payment

`Finalize the transaction securely, using the provided payment methods.

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Enroll in the chosen course, providing personal details and payment information


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Financing & Support


0% Interest Loans

Access 0% interest loans (6/9/12 Months EMI) for your education, ensuring affordability while you pursue your dreams.


Pay in Installments

Ease your financial burden with our convenient installment payment options.



We believe in supporting aspiring learners by providing financial aid to help them pursue their dreams.


Laptop Support

Seamless assistance with our comprehensive laptop support services.

Data Analytics: Frequently Asked Questions (FAQs)

Got questions about our Data Analytics course? Get answers to frequently asked topics. Explore your career potential in Data Analytics!

The Data Analytics course covers fundamental concepts and techniques such as data collection, cleaning, analysis, and interpretation, along with data visualization, statistical analysis, machine learning, and data-driven decision-making strategies.