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CoursesData Analytics Course in Kottayam
CEC 326

Data Analytics Course in Kottayam

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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duration

22 null

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NEXT BATCH

Aug 05, 2024

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Overview
Eligibility
Highlights
Job Roles
Syllabus
Certification
Batches
Admission
Testimonials
Financing
FAQ
Programoverview

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.

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Analyze data to derive insights and make informed decisions

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Utilize statistical and machine learning techniques

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Develop skills applicable to various industries

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Gain a competitive edge in the job market

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Eligiblility

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

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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.

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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

Course Modules

22 null COURSE

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Business Statistics

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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

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Excel: Basics to Advanced

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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

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SQL

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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

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Tableau

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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

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Power BI

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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

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Python Basics

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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

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R Programming

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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.

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Program Cohorts

Aug 2024 Batch

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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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Get Enrolled

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

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“Study without desire spoils the memory, and it retains nothing that it takes in.”

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Financing & Support

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0% Interest Loans

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

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Pay in Installments

Ease your financial burden with our convenient installment payment options.

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Scholarships

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

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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.