Bootcamp: “Data Science with Python – From Basics to Real-Time Analysis”

Bootcamp: “Data Science with Python – From Basics to Real-Time Analysis”

Bootcamp: “Data Science with Python – From Basics to Real-Time Analysis”

Join us for an exciting journey into the world of Data Science with Python! This bootcamp equips students with essential tools like NumPy, Pandas, Seaborn, and Matplotlib to clean, analyze, and visualize real-world data.


Camp Highlights

1. Mastering NumPy

  • Learn array creation, matrix operations, and statistical calculations with hands-on practice.

2. Exploring Pandas for Data Handling

  • Dive into data wrangling, cleaning, and organizing datasets effectively.

3. Advanced Data Manipulation with Pandas

  • Master grouping, merging, and creating pivot tables for meaningful insights.

4. Data Visualization with Seaborn & Matplotlib

  • Create stunning visualizations like heatmaps, bar charts, and scatter plots.

5. End-to-End Data Analysis Project

  • Apply all skills to analyze and visualize real-time store data and present actionable insights.

Key Takeaways

• Gain hands-on experience with Python libraries for data science.
• Build practical skills in data cleaning, aggregation, and visualization.
• Complete a real-world project to showcase your analytical expertise.

Bootcamp: “Data Science with Python – From Basics to Real-Time Analysis”

  • 12 - 18 years
  • Beginner
  • 0
  • Class Schedule can be choosen
  • Flexible Duration
$299.00

Weeks

  • November 24 to November 28
  • December 22 to December 26
  • December 29 to January 2
  • January 5 to January 9
  • March 16 to March 20
  • March 23 to March 27
  • March 30 to April 3
  • April 6 to April 10
  • April 13 to April 17
  • June 1 to June 5
  • June 8 to June 12
  • June 15 to June 19
  • June 22 to June 26
  • June 29 to July 3
  • July 6 to July 10
  • July 13 to July 17
  • July 20 to July 24
  • July 27 to July 31
  • August 3 to August 7
  • August 10 to August 14
  • August 17 to August 21
  • August 24 to August 28

Time Slots

  • 9:00 am – 11:00 am PST
  • 5:00 pm - 7:00 pm PST