• Introduction
• set Target
• 6 Motnh Plan

   
• Introduction to Python Setup vs – Code & Jupyter
• Variables
• Data Types in Python
• Numbers
• Strings
• User Input
• Data structure in Python
• List, Tuple & Dictionary
• Condition Statements
• Looping Statements
• Methods
• Modules
• PIP
• if_name == “_main_”
• Reading/Writing Files

• Introduction
• DataFrame
• Different ways of creating DataFrame
• Read/Write (Excel/CSV) files
• Handle Missing Data
• Group By
• Concat DataFrame
• Pivot Table
• Reshape DataFrame

• Introduction
• Basic Array Operation
• Slicing & Stacking Array
• Indexing Array
• Iteration in Numpy Array
• Nditer

• Introduction
• Format String in Plot
• Axes, Labels, Legend, Grid
• Bar Chart
• Histogram
• Piechart
• Same Model to File

• Introduction
• Bar Plot
• Dist Plots
• Box Plots
• More…
2 – Major Projects
3- Kaggle EDA Projects

• Connecting to SQL Server
• Creating Altering & Dropping
a Database
• Creating & Working With Table
• Adding a Default Constraint
• Cascading Referential
• Adding a Cheek Constraint
• Identify Column in SQL
• Flow to get the Cart
• Generated identify Column in
SQL
• Unique Key Constraint
• Select Statement
• Group By
• Joins
• Self Join
• Way to Replace Null
• Working with Date/Time
• 2-Test
• 1- Project

• Introduction
• Gathering Data
• Describing Data
• Making Conclusion
• Prediction & Explanation
• Population Sample Task
• Parameter & Statistics
• Study Types
• Sample Types
• Data Types
• Mesurments Levels
• Descriptive statistics
• Predictive Statistics
• Inferential Statistics

• Introduction
• Linear Regression Multiple Variable
• Gradient Descent & Cost Function
• Same Model to File
• Dummy Variables & One Hot Encoding
• Train Testing Split
• Logistic Regression
• Logistic Regression Multiclass
• Classification
• Decision Tree
• Support Vector Machine
• Random Forest
• K Flod Cross Validation
• K-Means Clustering
• Naive Bayes
• KNN
• PCA
• 2 Test
• 2 Major Project

• Tables in Excel
• Range
• Cleaning Data with text Function
• Cleaning Data Containing Date
Value
• Working with Time
• Condition Formatting
• Sorting
• Filtering
• Quick Analysis
• Lookup Functions
• Pivot Table
• Data Visualization
• Data Validation
• 2-Major Projects

• Module 1: Introduction To Power Bl
• Module 2: Essential Theoretical
Concepts
• Module 3: Data Preparation.
• Module 4: Data Modelling
• Module 5: Dax
• Module 6: Data Visualization
• Module 7: Power BI Service
• Module 8: Project & Case Studies

• Test-Series
• Practice-Set
• Study Material
• Aptitude/Reasoning
• Resume Building
• Guaranteed Job
• Kaggle
• Git/Github
• Agile
• SDLC
• and more…