Data Analysis Associate
Become an AI Expert and Advance Your Career
Learn AI fundamentals, machine learning concepts, and practical tools through hands-on classroom training designed for beginners and freshers.
Duration :- 450 Hrs
Gain insight into a topic and learn the fundamentals.
⭐ 4.8
Most of student like this course and got placed.
NSQF Level - 4
Recommended for career Growth by Career Experts
Offline Classroom Course
Recommended for career Growth by Career Experts
What you'll learn
This course starts with data analytics fundamentals, where students learn to perform basic calculations and analysis using spreadsheets. They understand spreadsheet features, formulas, sorting, charts, and gradually move into managing structured data, including database concepts and SQL. Students also learn to analyze data using spreadsheet tools by applying statistics, Pivot Tables, filtering, What-If Analysis, and regression techniques.
Next, students learn to manage data using open-source tools, including basic Linux concepts and file handling. They are introduced to data visualization using Tableau for presenting data effectively. The course also covers the installation of Hadoop and Java fundamentals, followed by managing Big Data using Hadoop tools. Finally, students implement data analytics use cases and gain practical experience through projects and On-the-Job Training (OJT).
Skills You’ll Gain
- Spreadsheet analysis and data handling skills````
- Database and SQL fundamentals
- Statistical thinking for data analysis
- Data visualization and dashboard creation
- Data cleaning, filtering, and transformation
- Basic Linux and open-source tool usage
- Understanding of Big Data analytics workflows
- Practical problem-solving with data
After completing this course, learners will be able to:
- Ability to analyze and interpret structured data
- Confidence in using spreadsheet tools for analytics
- Understanding of databases and data management
- Capability to visualize data for decision-making
- Exposure to Big Data tools and analytics concepts
- Job readiness with technical and employability skills
- Practical experience through projects and OJT
Perform Basic Calculation Using Spreadsheet
- Introduction to data analytics and data science
- Understanding Windows and spreadsheet environment
- Creating and saving worksheets and workbooks
- Layouts, text formatting, and alignment
- Basic functions and formulas
- Sorting data and creating graphs in Excel
Manage Structured Data
- Introduction to database concepts
- Advantages of Database Management Systems (DBMS)
- Understanding keys: candidate key, primary key, alternate key, and foreign key
- Fundamental integrity rules: entity integrity and referential integrity
- Entity Relationship (ER) model and ER diagrams
- Introduction to SQL
- Knowledge of data warehouse and data mining
- Migrating data from source to data warehouse
- Data cleaning and aggregation operations
Analyze Data Using Spreadsheet Tool
- Fundamentals of statistics for data analysts
- Data tables and formatting concepts
- Conditional formatting with exercises
- Charts and advanced charting techniques
- Data analysis using Pivot Tables
- Data validation techniques
- Filtering and advanced filtering
- What-If Analysis for analytics
- Probability and statistics concepts
- Regression analysis and descriptive statistics
Manage Data in Open Source Tool
- Introduction to Virtual Machine
- Installation and configuration of Ubuntu
- Linux basics and file system understanding
- Managing files and directories
- Viewing, creating, copying, moving, and comparing files
- Basic Linux commands
- Users, groups, and file permissions
Visualize Data Graphically
- Introduction to Tableau
- Connecting Tableau with Excel files
- Connecting Tableau with CSV text files
- Connecting Tableau with databases
- Data analysis, formatting, sorting, and charts in Tableau
Installation of Hadoop Framework and Java Programming
- Introduction to Hadoop framework
- Installation and environment setup of Hadoop
- Core Java concepts
- Object-Oriented Programming (OOPs) concepts
- Looping techniques in Java
- Methods, method overloading, and method overriding
- Arrays in Java
- Hadoop Distributed File System (HDFS)
- Hadoop architecture
- Configuring Hadoop cluster
- Working with Hadoop commands
Manage Big Data Using Hadoop
- Introduction to Big Data concepts
- Importance of Big Data in business intelligence
- Big Data analytics using Hadoop
- MapReduce concepts and implementation
- Hive concepts and implementation with examples
Implementation of Use Cases of Data Analytics
- Implementing real-world data analytics use cases
Employability Skills
- Developing professional and workplace-ready skills
Our Courses
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