Python for Data Science is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. The Data Science With Python Course is specifically designed to take you through the basics of Python. During the course you will cover the following; Basic Programming with Python, Jupyter notebook, NumPy with Python and Using pandas Data Frames to solve complex tasks.

• Gain proficiency in Python programming fundamentals for data science applications.

• Learn data wrangling and cleaning techniques using libraries like Pandas.

• Master exploratory data analysis (EDA) techniques to uncover data patterns and trends.

• Create data visualizations to effectively communicate insights from data analysis.

• Get introduced to machine learning algorithms and their applications in Python.

Participants enrolling for this programme will be required to have basic computing skills. Participants who meet the programme requirement should pay the course fee and complete the enrollment form 2 weeks before the programme kick off date.

Requirements:

• Individuals with a background in mathematics, statistics, computer science, or related fields who are looking to enter the field of data science and kickstart their career as junior data analysts.

• Working professionals currently employed in data-related roles or other fields who want to transition into data science and enhance their analytical skills.

• Anyone passionate about working with data and eager to learn data analysis techniques, regardless of their prior experience or educational background.

• Professionals from diverse backgrounds who are interested in exploring opportunities in data science and are willing to learn new skills to pursue a career in this rapidly growing field.

Prospective applicants who do not meet the programme requirement but want to join the programme should talk to a Career Advisor.