Data Analytics

In today's data-driven world, the ability to analyze and interpret data is crucial. Our Data Analytics Course is designed to provide you with the skills and knowledge needed to transform raw data into actionable insights. Whether you're a beginner or looking to enhance your existing skills, this course will equip you with the tools necessary to thrive in the field of data analytics.

What You Will Learn:

• Introduction to Data Analytics:
• Understanding the role and importance of data analytics in various industries.
• Overview of the data analytics lifecycle.
• Data Collection and Cleaning:
• Techniques for data collection from various sources.
• Methods for cleaning and preparing data for analysis.
• Exploratory Data Analysis:
• Using statistical methods to explore and summarize data.
• Visualizing data through charts and graphs to identify patterns and trends.
• Data Visualization:
• Creating compelling visual stories using tools like Tableau, Power BI, and Excel.
• Best practices for effective data visualization.
• Statistical Analysis:
• Applying descriptive and inferential statistics.
• Understanding probability distributions, hypothesis testing, and regression analysis.
• Advanced Analytics Techniques:
• Introduction to machine learning algorithms and predictive modeling.
• Hands-on experience with tools such as Python and R for advanced data analysis.
• Data-Driven Decision Making:
• Translating data insights into strategic business decisions.
• Real-world case studies and practical applications.

Syllabus:

• Python(Core + Advance)
• Variables
• Data types
• Operators
• if statements
• Loops
• String
• Lists, Tuples
• Dictionaries
• Sets
• Conditional expressions
• Modules
• Functions
• File handling
• Object Oriented Concept
• Exception Handling
• GUI Progragramming in Python
• 5 Mini Projects
• Pandas
• Matplotlib
• BI Tools (Power BI)
• Introduction to Power BI
• Overview of Power BI and its components
• Installation and setup
• Understanding the Power BI ecosystem
• Importing data into Power BI
• Introducing Microsoft Power BI Desktop
• Connecting & Shaping Data
• Creating a Data Model
• Calculated fields with DAX
• Visualizing data with Reports
• Power BI optimization tools
• Real-world Projects and Case Studies
• Database
• MySQL
• Introduction to MySQL
• Basic MySQL syntax
• Schema Design Methodology
• Create / Select / Drop / Copy of Database
• Create Table
• Constraints in MySQL
• Alter Table
• Insert / Select / Delete / Update Records
• Rollback, Commit and Grant
• Maths & Statistics
• Basic Math
• Arithmetic
• Weighted average
• Cumulative sum
• Percentile
• Statistics
• Excel
• Basic formulas
• SUM
• AVERAGE
• MEAN
• MEDIAN
• SUMPRODUCT
• CONCATENATE
• Advance formulas
• Charts & Filters
• Control Version
• Git & GitHub
• Intro to VCS
• Types of VCS
• What is Git, GitHub
• Git Installation
• Configuring Git
• Connecting Git with GitHub
• Basic Git & GitHub Workflow
• Git Branching & Merging
• Git Clone
• Resolve Merge Conflict
• How to setup & upload Project on GitHub
• How to PUSH & Pull Project
• Soft Skills
• Soft Skills
• Communication skill
• Analytical skill
• Problem solving skill
• Story telling