Weekly Core Program
Program F:
Data Analysis with Python
Learning the data analysis with Python to experience the most widely used data science programming languages in the world today!
Upcoming January 2022
(Tentative)
About this Program
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In Program F, students will learn the Python programming language and the basic programming concepts along with Python. Students are able to make real life projects by using the fundamentals and some simple and useful Python packages. Then, students are introduced to data analysis processes like Data Collection, Data Cleaning, Data Manipulation, Data Visualization and Data Interpretation using one of the most powerful Data Analysis Tool(Pandas) and Data Visualization Tool(Matplotlib). Ultimately, students are able to make an analysis report by applying the data analysis skills and coding skills.
Course Structure
• • • • • •
Duration: 24 lessons
Hours per Lesson: 2 hours
Class Size: 20 to 34 students
Suggested Age: 13 to 16 years old (No age restriction for Telebort alumni)
Prerequisite: Either completed Telebort Core Program A or having existing knowledge in programming
What you'll learn
• • • • • •
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Fundamentals of Python Programming
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Data cleaning and data manipulation with Pandas
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Data visualization with Matplotlib
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Data interpretation and make analysis reports.
Program Syllabus
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Program F is exclusively designed for students to learn data analysis processes such as data collection, data cleaning, data manipulation, data visualization and data interpretation and related data analysis tools like Pandas and Matplotlib. Beside that, students will learn the fundamentals of Python, one of the most widely used data analysis programming languages in the world today as the foundation to use the data analysis tools. Essentially, students will be able to apply data analysis skills and coding skills to make an analytic report about their discovery on the analysed dataset.
CHAPTER 1
Python Programming
CHAPTER 2
Jupyter Notebook (Via Google Colab)
CHAPTER 3
Programming Concept - Variable & Operator
CHAPTER 4
Programming Concept: List
CHAPTER 5
Programming Concept: Conditional Statement
CHAPTER 6
Programming Concept - Loop
CHAPTER 7
Programming Concept - Function
CHAPTER 8
Programming Concept - Package
CHAPTER 9
Programming Concept - Dictionary
CHAPTER 10
Python Package - NumPy
CHAPTER 11
Python Package - PrettyTable
CHAPTER 12
Data Analysis
CHAPTER 13
Python Package - Pandas (Data Analysis)
CHAPTER 14
Read and Export CSV File with Pandas
CHAPTER 15
Data Cleaning with Pandas
CHAPTER 16
Data Manipulation with Pandas
CHAPTER 17
Python Package - Matplotlib (Data Visualization)
CHAPTER 18
Data Grouping and Data Joining with Pandas
CHAPTER 19
Data Interpretation and Report Making
Project in Class
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Ice Cream Shop
Covid-19 Cases Prediction
Score Table
Google Play Store Analysis
Score Graph
