Programming with Python & Pandas (Non-Developer Friendly)

R 26,449
Starts 25th January

Course Details

Analyse data quickly and easily with Python's powerful Pandas library

Pandas is an essential data analysis library within Python ecosystem that allows you to work with large quantities of data. This 10-week course is ideal for those who are new to programming and comfortable working in Python. This is a practical Python course covering techniques to clean and process data using Pandas.

Learn how to create powerful data visualizations with Python, the fastest-growing programming language in the world. Pandas makes it very convenient to load, process, and analyse such tabular data using SQL-like queries. Pandas provides a wide range of opportunities for visual analysis of tabular data.

This course is designed for new programmers with a core understanding of the Python language.

To join this course you will need:

Experience working in Python.
A personal device to complete pre-work and attend the course.

What will I learn?

Upon completion of this course, you will be equipped to:

Learn the most in-demand python data analysis library - Pandas
Perform data operations and functions including grouping, pivoting and more
Explore, resolve and describe data
Learn shortcuts and methods to utilise Pandas
Use Python programming and data analysis tools to create insights that can drive commercial decision-making

Course breakdown

Week 1 - Orientation

Week 2 - Introduction to Pandas

Week 3 - Data Processing & Cleaning with Pandas

Week 4 - Further Pandas (optional extra)

Week 5 - Apply mathematical analysis to economic and financial information

Week 6 - Assignment Module

Is this right for me?

This 10-week course is ideal for gaining the relevant knowledge and in-demand skills in the specialised data processing environment.

This course is ideal for:

Become more familiar and employable in the tech industry

As part of this course you will get:

4 half-day live instructor-led interactive workshop with 1:1 in-class tutor support
6 weeks access to EDUKATE.ai with workplace simulated assignments and immediate personalised feedback.
Certification pathway available: this course is part of the Data Analysis with Python

Course:

Programming with Python & Pandas (Non-Developer Friendly)

Registrations Close:

18 January 2022

Start Date:

25 January 2022

Duration:

10 weeks

Price:

R 26,449

Weekly

8 - 8 hours

The debit order payment option offers you a convenient, affordable, and easy way to pay off your online course with monthly interest-free instalments. Our debit order process allows you to track your payment history, minimizing the stress of manual payments and tailored to your lifestyle. On debit order the enrolment is available at 25% of the course fee. *From as little as R4000pm over 5 months.

*The above amount is illustrative and will be calculated on the actual course price and the start date of the course.

A Credit Card payment is the easiest way to ensure an effortless transaction. We accept credit card payments from VISA and Mastercard. We accept a small, 25% initial instalment to enrol and start your course with us.
An electronic funds transfer (EFT) allows a simple and effective payment process between two parties by using electronic signals to transfer money. EFT payment options allow for affordable instalments through payment plans and monthly instalments. On EFT, enrolment is available at 25% of the course fee.
Ozow offers a payment solution that allows you to make Ozow easy, Ozow secure payments right from your mobile or laptop. Through a simple step-by-step process making Instant EFT safe, quick and easy.
Mobicred is an online credit facility that is a smarter, simpler and more convenient way to help you pay for your online course, today. Repayments options of up to 12 months, making it a flexible, affordable and stress-free way to pay.
Knowledge is power, and by upskilling it allows your company to benefit and tap into the knowledge and expertise gained from your chosen online course.
For tips on how to approach this payment plan, download the MasterStart brochure here.