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.
duration
22 Weeks
NEXT BATCH
Dec 09, 2024
mode
Online
payment options
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
Eligiblility
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
+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
Tableau
+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
Certification of Completion
Recognizes mastery in data analysis concepts, techniques, visualization, statistics, machine learning, and data-driven decision-making strategies.
Admission Process at Cokonet
The course admission process at Cokonet involves streamlined procedures ensuring efficient enrollment for prospective students.
Step 1Speak With our Career Counselor
Our career counselor will help you identify the suitable course for you.
Step 2Complete Payment
`Finalize the transaction securely, using the provided payment methods.
Step 3Get Enrolled
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.
Scholarships
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.
Data analytics skills are valuable across various industries including finance, healthcare, retail, marketing, and technology. Professionals can use these skills to analyze customer behavior, optimize business processes, improve decision-making, and drive innovation.
Yes, you'll have access to instructors or mentors who can provide guidance, clarify doubts, and offer support throughout the course.
Yes, after successful completion of the course you will receive a certificate, enhancing professional credentials.
