- TypeTraining or Development Class
- Location Online Event
- Date 27-03-2023 - 07-04-2023
Education/Teaching/Training/Development
Information Technology
Computer/Technology
Date: 27 Mar to 07 Apr (Weekdays)
Time: 08:00 PM -11:00 PM (IST)
Speaker: NAWAJ
â¡ï¸ Agenda for the BootCamp
Tools Covered
• Python
• R
• MySQL
• Tableau
• PowerBi
â¡ï¸ Day 1:
• Introduction to Data Science
• Overview of the Bootcamp
• Data Science Process
• Introduction to Python
• Basic Data Types in Python
• Introduction to Jupyter Notebook
• Python Libraries for Data Science: NumPy, Pandas
â¡ï¸ Day 2:
• Working with DataFrames in Pandas
• Data Cleaning and Preprocessing
• Data Visualization with Matplotlib
• Basic Statistical Concepts
• Descriptive Statistics
• Probability Concepts
• Discrete and Continuous Probability Distributions
• Sampling Techniques and Confidence Intervals
• Hypothesis Testing
â¡ï¸ Day 3:
• Regression Analysis
• Simple Linear Regression
• Model Evaluation and Selection
• Multiple Linear Regression
• Regularization Techniques: Ridge and Lasso
• Model Evaluation Metrics: R-squared, MSE, MAE
â¡ï¸ Day 4:
• Classification Algorithms
• Logistic Regression
• Decision Trees and Random Forests
• Model Evaluation Metrics: Confusion Matrix, ROC Curve
â¡ï¸ Day 5:
• Introduction to R Programming
• Basic Data Types in R
• Data Structures in R: Vectors, Matrices, Data Frames
• Data Import and Export in R
• Working with Data Frames in R
â¡ï¸ Day 6:
• Data Cleaning and Pre-processing in R
• Data Visualization with ggplot2
• Basic Statistical Concepts in R
• Advanced Statistical Concepts in R
• ANOVA and Non-parametric Methods
• Time Series Analysis
â¡ï¸ Day 7:
• Introduction to MySQL
• Relational Database Concepts
• SQL Syntax and Queries
• SQL Joins and Aggregations
• Subqueries and Views in SQL
• Connecting to MySQL in Python and R
• Working with Data in MySQL
â¡ï¸ Day 8:
• Introduction to Tableau
• Connecting to Data Sources
• Creating Visualizations in Tableau
• Basic Calculations in Tableau
• Advanced Visualization Techniques in Tableau
• Creating Interactive Dashboards
• Sharing and Publishing Visualizations
â¡ï¸ Day 9:
• Introduction to Power BI
• Connecting to Data Sources in Power BI
• Creating Reports and Visualizations in Power BI
• Basic Calculations in Power BI
• Advanced Visualization Techniques in Power BI
• Creating Interactive Dashboards in Power BI
• Sharing and Publishing Reports in Power BI
â¡ï¸ Day 10:
• Case Studies in Data Science
• Final Project Preparation
• Final Project Presentation
• Participants will work on a real-world project and apply the skills and techniques learned throughout
the bootcamp
• Participants will present their projects and receive feedback from instructors and peers
• Q&A and Feedback Session
• Closing remarks and next steps for continuing education and career development.
â¡ï¸ Why attend Infosec Train Event
• Get CPE Certificate
• Access to the recorded sessions
• Learn from Industry Experts
• Post support
Free Register Now: https://www.infosectrain.com/events/free-data-science-fast-track-course/
Date: 27 Mar to 07 Apr (Weekdays) Time: 08:00 PM -11:00 PM (IST) Speaker: NAWAJ