8-Week Data Visualization Mini Bootcamp - Magnimind Academy

8-Week Data Visualization Mini Bootcamp

Live/Online/8Weeks/BestPrice

Unlock the Full Potential of 8-Week Data Visualization Mini Bootcamp

Explore the Future of the Data Visualization

 

  • Discover the power of data visualization in this 8-week mini bootcamp. From fundamental concepts to hands-on experience with Tableau, Matplotlib, and Seaborn, participants will acquire the skills needed to craft compelling visual narratives from data.
  • Elevate your proficiency and effectively communicate insights in just 8 weeks.

 

 

 

Mohammed S. Akhoirshida, PhD, SAPM

Dr. Mohammed S. Akhoirshida is a highly experienced engineer at Google, with over 17 years of expertise in computer networks, software engineering, and wireless communication systems. His career spans both industry and academia, where he has held key roles at leading companies such as Ford, Apple, Qualcomm, and Broadcom.

Dr. Akhoirshida holds a PhD in Engineering Science and has earned a Stanford Advanced Project Management (SAPM) certification. He has made significant scholarly contributions, authoring numerous publications in esteemed conferences and journals, and has received multiple awards for his work from Ford Motor Company and Qualcomm Inc.

What to Expect

Introduction to Data Visualization with Matplotlib

 

  • Overview of data visualization concepts
  • Importance and impact of effective data representation
  • Basic plotting with Matplotlib

 

Data Types and Sources – Seaborn for Data Visualization

 

  • Understanding various data types
  • Sourcing and cleaning data for visualization purposes
  • Introduction to Seaborn for enhanced data visualization

 

Tools of the Trade – Tableau Basics

 

  • Introduction to Tableau interface and navigation
  • Connecting to data sources and building basic visualizations

 

Basic Visualization Techniques – Tableau Continued

 

  • Creating bar charts, line graphs, and scatter plots in Tableau
  • Customizing visuals for better communication

 

Advanced Visualization Techniques – Tableau Mastery

 

  • Exploring advanced chart types (treemaps, bubble charts) in Tableau
  • Incorporating interactivity and dynamic features

 

Geographic and Time-based Visualizations – Matplotlib Seaborn

 

  • Mapping data using Matplotlib and Seaborn
  • Integrating time-based elements in Python visualizations

 

 

Design Principles in Data Visualization – Advanced Matplotlib Seaborn

 

  • Advanced customization using Matplotlib and Seaborn
  • Color theory, layouts, and annotations for clarity

 

Final Projects and Presentations

 

  • Applying learned concepts in Tableau, Matplotlib, and Seaborn to real-world datasets

How You’ll Learn

  • Interactive Lectures: Engaging sessions covering theoretical foundations and practical tips.
  • Hands-On Workshops: Apply concepts through guided exercises in Tableau, Matplotlib, and Seaborn.
  • Group Projects: Collaborate on projects using various tools to enhance practical skills and teamwork.
  • Office Hours: Access to instructors for personalized assistance and clarifications.

 

Who Is This Course For

01

Professionals seeking to enhance their data visualization skills.

02

Students or enthusiasts interested in a hands-on approach to data visualization.

03

Anyone looking to communicate insights effectively through visual representation of data.

Duration

8 weeks

Skill Level

Intermediate/Advanced

Price / Early Bird

$700 / $400

Hands-on

8 weeks

Location

Remote

Earlybird Deadline

Dec 31, 2024

The Next Batch

Feb 8, 2025

10 am – 8 Weeks

Learn from Industry Experts and Seasoned Educators

Why Choose Us?

We embrace a hands-on learning philosophy, emphasizing practical experiences for an authentic grasp of data science concepts. Committed to cultivating the growth of emerging professionals in the data science realm, our program provides a distinctive opportunity to collaborate with seasoned experts. Join our dynamic team and immerse yourself in gaining practical expertise in areas such as data analysis, machine learning, and statistical modeling.

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