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Students will start by attending an orientation class to get to know their facilitators and peers.
Exclusive data analysis learning with Python and experience the most widely used data science programming languages in the world.
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.
Besides 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.
The most interesting part is students are able to make real-life projects by using the fundamentals and some simple and useful Python packages. They will be 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).
Theme 1 : Python Fundamentals
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
Theme 2 : Data Analysis with Python
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
Students will start by attending an orientation class to get to know their facilitators and peers.
Students will join class sessions with their instructor and peers. The instructor will give lectures and carry out fun activities.
If the student require further support or information about the class, exercises or projects, our instructors are always ready to help.
Students can easily access lesson materials including pre-recorded lesson videos and lesson notes to better prepare before entering class.
Practice new found knowledge and skills through completing the projects and challenges under their instructors guidance.
Each program ends with a graduation for students to show their peers work, and receive a transcript certificate of completion!
Telebort's Computer Science programs are designed with STEAM education for school children to express their own ideas in designing their own stories, mobile apps, websites and many more.
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