Python Foundations for Data Analytics and Application Development
Get 20% discount when you register as a team of 3 or more!

DATES

Start :2025-08-11End  :2025-08-15

DURATION

5 days, Mon - Fri8:30 am - 4:30 pm

CHARGES

$1,050 + 16% VATFlexible payment

Registration

APPLY

Course description

Are you ready to unlock the power of Python for data analytics and application development? This comprehensive course is designed for beginners and intermediate participants who want to build a strong foundation in Python programming while gaining hands-on experience in data manipulation, analysis, and software development concepts. The course covers everything from the installation of Python and Jupyter to advanced data manipulation and statistical analysis.
Through hands-on practice, participants will explore Python's data types, structures, user-defined functions, and error handling, as well as techniques for data wrangling, cleaning, and aggregating data. Emphasis is placed on practical skills with real-world applications, enabling participants to write clean and efficient Python code.

Learning outcomes

This course equips participants with core Python programming skills and data-driven problem-solving techniques essential for analytics and software development. By the end, participants will be able to:
  • Install Python and Jupyter IDE and understand its user interface.
  • Identify and work with different data types and data structures in Python.
  • Load/export data from/to various sources, save, and explore datasets.
  • Recognize and handle errors in Python effectively using control statements and error-handling functions.
  • Utilize conditional and repetitive control structures to automate tasks
  • Perform essential data wrangling tasks.
  • Select and manipulate specific variables and observations to create focused subsets of data for detailed analysis.
  • Identify and resolve common data quality issues.
  • Merge and concatenate datasets effectively, using various join techniques to combine data from multiple sources.
  • Perform data aggregation tasks such as frequency tabulation and descriptive statistics to uncover meaningful insights from datasets.

Course Outline

5 days | Monday - Friday
Module 1: Fundamentals of the Python Programming Language
Module 2: Array Manipulation and Basic Linear Algebra with Numpy
Module 3: Data Wrangling and Cleaning using Pandas Part I
Module 4: Data Wrangling and Cleaning using Pandas Part II
Module 5: Introduction to Visualization with Matplotlib

FAQs

Frequently Asked Questions
Program fees and what's included
Do you offer online training options?
Is a self-paced learning model available?
What does the learning experience include?
What certification will I receive?
What are the technical requirements?
What is your refund policy?
Early registrations are encouraged.
Flexible payment options are available.
Start : 2025-08-11
End  : 2025-08-15
APPLY NOW