Pengenalan Visualisasi Data untuk Pemula

📊 [Pengenalan Visualisasi Data untuk Pemula] 🎓

Headline: Master the World of Big Data with Python - Dive into Essential Data Visualization for Beginners!

Course Description:

Embark on a journey to unravel the mysteries of data visualization, an indispensable tool in the era of Big Data. This course is your gateway to understanding and implementing data visualization techniques using Python. With a blend of theoretical knowledge and practical hands-on experience, you'll learn to transform raw data into compelling visual stories.

What You'll Learn:

• The Basics of Data Visualization:

  • What it is and why it's essential in understanding Big Data.

• Understanding Python for Data Visualization:

  • Getting started with data processing in Python using DataFrames.
  • Exploring a powerful Python tool, Google Colab, to bring your visualizations to life.

• Data Types and Handling:

  • Diving into numerical data (continuous vs. discrete) and categorical data (binary, nominal, ordinal).

• Essential Data Visualization Techniques: (📈 Explore each with theory & practice!)

  1. Boxplot - Discovering the distribution of your data.
  2. Histogram/Bar Chart - Visualizing the frequency of data points.
  3. Count Plot - Understanding the count of categorical data.
  4. Bar Chart - Comparing different categories of data.
  5. Scatter Plot - Exploring relationships between two numerical variables.
  6. Heatmap - Observing patterns within matrices or large datasets.
  7. Pair Grid & Facet Grid - Comparing and contrasting different aspects of your data across multiple views.

Course Structure:

• Introduction to Data Visualization:

  • A brief overview of the importance and applications of data visualization in the modern data landscape.

• Getting Started with Python for Data:

  • Understanding Python syntax and its powerful libraries, like pandas for data manipulation and matplotlib, seaborn, or plotly for creating plots.

• Hands-On Learning with Google Colab:

  • Engage in live coding sessions to apply what you've learned.

Highlights:

• Real-World Application:

  • Apply your newfound skills to real datasets and gain actionable insights.

• Interactive Learning:

  • Enjoy interactive video content that combines theoretical knowledge with practical application.

Who Should Take This Course:

This course is designed for beginners who have a basic understanding of Python and are eager to explore the fascinating world of data visualization. Whether you're a student, professional looking to enhance your skillset, or someone curious about the power of Big Data, this course will equip you with the tools to turn data into compelling narratives.

Course Duration:

Each video session is designed to last approximately 10 minutes, ensuring that complex concepts are easily digestible and accessible for all levels of learners.

Embark on your data visualization journey today and unlock the hidden stories within your data! 🌟