Python for Data Analysts

Python programming for the modern-day data analyst.

Python for Data Analysts

Course details

In this 12-hour course, we will cover a comprehensive practice in applying Python’s data analysis library: pandas. This library is the core member of many Python-based scientific computing environments. You will be guided in a gentle introduction to Python programming using Jupyter Notebook. Upon the completion of this course, you will be familiar with Python programming and utilizing pandas for simple exploratory data analysis.

Please bring along:

  • 1x Laptop
  • Purchased Ticket


  • Virtual Environment concept

    Day 1

  • Python Programming basic

    Day 1

  • Introduction to Pandas Library

    Day 2

  • Exploratory Data Analysis Tools I

    Day 3

  • Graded Assignment

    Day 4

Course Producer

Samuel Chan

Machine learning practitioner in the field of marketing automation, fraud detection, finance and e-commerce. Samuel is Indonesia’s top-ranked Stack Overflow user in R (top 5% worldwide), a certified professional (certificates from Microsoft, MongoDB, Stanford University, John Hopkins University), and an experienced consultant that has worked with several public-trading companies from his time staying in China, Japan and Singapore.

Between 2017 and 2018, Samuel has trained and consulted with more than 20 companies around Indonesia and a regular guest speaker/trainer in a number of universities in Singapore and Indonesia. He is also among the first recipients of Microsoft Professional Program Certificate in Data Science in Southeast Asia, having demonstrated proficiency in R, Python, Microsoft Azure, SQL / T-SQL, PowerBI and a list of other technologies.

4-Day Workshop Modules

Syllabus: Python for Data Analysts

Module 1: Python Programming Basic

  • Setting up Anaconda environment
  • Working with Jupyter Notebook
  • Python Syntaxes and Jargons

Module 2: Introduction to DataFrames

  • Importing pandas Library
  • Reading CSV Data
  • Python Data Types
  • Data Frame Structure

Module 3: Exploratory Data Analysis Tools I

  • Categorical and Numerical Variables
  • Using panda’s Built-in Statistics Summary
  • Indexing and Subsetting in pandas

Module 4: Graded Assignment

Use a small sample of a larger CRM dataset to perform exploratory data analysis process. Perform what you have learned using pandas! Try and extract insights from the data in order to understand which customers offer a better value proposition to the business.

Program Receivables:

  • Cutting Edge Curriculum

    A hands-on coding bootcamp with the opportunity to work on real datasets donated by businesses and the public sector. Coursebooks (PDF/HTML files), data set for practice, reference notes, and working files (R Notebook or Jupyter Notebook) are accessible through our Learning Management System account.

  • Project-Oriented Learning

    Work with real-life cases and learn under the assistance of our qualified instructors throughout the 1-month course.

  • Certification of Completion

    Show current and prospective employers that you’ve completed the course with a signed certificate of completion.

  • Quality Learning Environment

    We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.

  • Engaging Community

    Be a part of our data-passionate community with 5000+ members and 300+ alumni.

A structured approach to learning data analysis

The Data Analytics Specialization is a 4-week bundle that is curated to accelerate a student’s mastery in building data products, develop a web application, and data visualization.

Students are not assumed to have a working knowledge of Python or prior proficiency in statistics/mathematics/algebra. As such the workshop follows a gentle learning curve and emphasizes hands-on, one-to-one tutoring from our team of instructors and teaching assistants.

Learn data analysis by building:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.

Part of Data Analytics Specialization

This course is part of the Algoritma Data Analytics Specialization. Participants are rewarded with a certificate of completion upon passing criteria.