Date: 27 Mar to 07 Apr (Weekdays)
Time: 08:00 PM -11:00 PM (IST)
Speaker: NAWAJ

➡️ Agenda for the BootCamp
Tools Covered
• Python
• R
• MySQL
• Tableau
• PowerBi

➡️ 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

➡️ 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

➡️ 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

➡️ Day 4:
• Classification Algorithms
• Logistic Regression
• Decision Trees and Random Forests
• Model Evaluation Metrics: Confusion Matrix, ROC Curve

➡️ 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

➡️ 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

➡️ 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

➡️ 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

➡️ 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

➡️ 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.

➡️ 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/

DATES & VENUE
27 Mar - 07 Apr 2023, 8:00 pm - 11:00 pm
#_REVIEWS

OTHER INFORMATION
Go to Event Website
TOPICS | CATEGORIES






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