Data Analytics and Visualization Bootcamp

AI & Data Science

This journey equips you to transform data into actionable insights, and equips you with its latest practices in the market, preparing you for a successful career in data analysis.

What you will learn?

Attitudes

Develop effective communication skills
Express ideas clearly and confidently
Deliver engaging and persuasive presentations
Write a compelling CV that highlights skills and experiences effectively
Confidently navigate job interviews and make a positive impression
Develop a critical thinking approach that prioritizes data analysis for informed choices
Embrace a structured and proactive approach to solving data science problems
Adopt a lifelong learning mindset to stay up-to-date with evolving data tools and techniques
Craft clear and compelling data visualizations and communicate insights effectively

Skills

Clean, organize, and prepare data for analysis using various tools like SQL and Python libraries
Extract meaningful insights from data through applying statistical concepts and hypothesis testing
Design impactful visualizations and dashboards tailored for specific audiences using tools like Excel, Tableau, and Power BI
Automate data analysis tasks and create more advanced visualizations through developing a strong foundation in Python programming
Apply your knowledge through hands-on projects and real-world applications

Knowledge

Understand the fundamental principles and concepts of project management
Explore Agile and Scrum methodologies and their applications in project management
Understand the core concepts of data science and its role in today's data-driven world
Grasp the fundamentals of relational databases and effectively use SQL for data querying and manipulation
Comprehend the key steps in the data analytics process and different data structures and sources
Create effective and accurate visualizations that convey a clear story
Practice essential Python libraries like Pandas and NumPy for data analysis and visualizations

The Art of Professional Presence

117 Parts

7 Chapters