This video covers the data analysis project that you can add in your resume or portfolio to showcase your skills. It walk you through the steps required to create a project starting from the business problem to make reports to present the results of the analysis.

Data Analysis Project Steps:
1. Create a Problem Statement.
2. Identify the data you want to analyze.
3. Explore and Clean the data.
4. Analyze the data to get useful insights.
5. Present the data in terms of reports or dashboards using visualization.

0:00 - Project Introduction
2:50 - Data Analysis Project Steps
7:48 - Understanding the Business Problem
16:06 - Data Analysis using python
59:53 - Report Making

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GitHub Link: https://github.com/Ayushi0214/Datasets

00:00:00 - 02:15:26: Python Basics
- Introduction to Python for Data Analytics
- Python Installation in Windows
- Python IDE (Pycharm)
- First Program in Python
- Comments, Variables, Datatypes, User-Inputs
- TypeCasting, Subtypes, Problem-Solving
- Operators and Operands
- Conditional Statements

02:40:22 - 06:36:18: Python - Loops and Lists
- Introduction to Loops
- For Loop, While Loop, Nested Loops
- For Loop with Conditional Statements
- Break and Continue Statement
- Loops Problem Solving
- Introduction to Lists
- Lists Slicing, Iteration, Functions
- List Comprehension, Problem Solving

06:47:43 - 07:36:16: Tuples, Dictionaries, and Sets in Python
- Introduction to Tuples
- Tuples Slicing, Iteration, Functions, Problem Solving
- Introduction to Dictionaries
- Iteration, Functions, Nested Dictionaries, Problem Solving
- Introduction to Sets
- Set Methods, Problem Solving

08:16:10 - 09:14:20: Python Functions and Modules
- Introduction to Functions
- Parameters, Arguments, Return Statement, Recursion
- Lambda Function, Local and Global Variables
- Functions Problem Solving
- Introduction to Modules, In-built Modules
- Creation of Modules, Project Random Module

09:15:59 - 15:57:26: Numpy and Data Manipulation
- Introduction to Numpy
- Installation of Jupyter Notebook
- Creation, Indexing, and Slicing of Numpy Arrays
- Mathematical Operations, Combining and Splitting Arrays
- Search, Sort, Filter Arrays, Aggregating Functions
- Statistical Functions in Arrays

12:01:26 - 13:45:36: Pandas for Data Analysis
- Introduction to Pandas
- Creation of Data Frames, Exploring Data
- Dealing with Duplicate values, Missing Data
- Column Transformation in Pandas, GroupBy
- Merge, Concatenate, Join in Pandas
- Pivoting and Melting Dataframes

13:43:51 - 15:57:26: Matplotlib for Data Visualization
- Introduction to Matplotlib
- Bar, Line, Scatter, Pie, Box, Histogram, Violin, Stem plots
- Stack Plot, Step Chart, Legends, Subplot
- Save a Chart Using Matplotlib
- Data Visualization in Seaborn
- Seaborn Project

18:38:09 - 21:02:52: MySQL for Data Analytics
- Introduction to MySQL
- Installation, Importing Data
- Select Query, Where Clause
- AND, OR, NOT Operators, Like Operator
- Order By, Limit, Between
- IN, NOT IN operator, String Functions
- Data Aggregation, Numeric Functions
- Date Functions, Case Operator
- Group By, Having Clause
- Joins, Set Operators, Subqueries, Views
- Stored Procedure, Window Functions

21:14:31 - 24:45:52: Excel for Data Analytics
- Introduction to MS Excel
- Basic Functions, Data Validation
- Data Connectors, Conditional Formatting
- Basics of Formatting, Sorting, Filtering Data
- Dealing with Null Values, Duplicate Values
- Trimming Whitespaces, Text Functions
- IF, AND, OR Functions, Date & Time Functions
- COUNTIF, SUMIF Functions, Xlookup
- Power Query, Cleaning and Transformation
- Creating a Dashboard in Excel, myExcel Project

25:38:35 - 29:09:56: Power BI Essentials
- Introduction to Power Bi
- Installation of Power Bi Desktop
- Data Connectors, Basic Transformations
- Format Tool, Pivoting, Unpivoting of data
- Adding Conditional Columns, Merge queries
- Data model, Relationship Management
- Introduction to DAX, Calculated Columns, Measures
- DAX Functions, Visualizations, Filters
- Creating Reports, Custom Visuals
- Designing for Phone vs Desktop Report Viewers
- Publishing Reports to Power BI Services

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