Course Description
Embark on a transformative journey into the world of data science with our Beginner Data Science course. This program provides a pivotal entry point into the dynamic realm of data analytics. From mastering Python basics to unravelling complex datasets with Pandas and NumPy, to creating insightful visualizations with Matplotlib, and conducting Exploratory Data Analysis (EDA), you’ll gain the essential skills needed to navigate the vast landscape of data analytics. Unlock the key to data-driven insights, unleash your analytical prowess, and embark on a journey toward becoming a proficient data scientist in today’s data-driven world. Join us and take your first step into the exciting field of data science.
Level
Beginner
Duration
5 days (9.00am – 5.00pm)
Training Methodology
i. Interactive lecture
ii. Hands-on practice
iii. Case-based learning
iv. Q&A with tool demonstration
v. Group discussion
Requirement
i. Basic computer literacy
ii. Good command of english
iii. No prior experience in data science required
iv. It is mandatory to have a Jupyter Notebook installed on the computer before the training begins.
v. Participants must have access to a laptop or computer with a stable internet connection throughout the training sessions
Learning outcomes
i. Master fundamental Python programming concepts and syntax
ii. Gain a solid understanding of (EDA) techniques to uncover insights from dataset
iii. Apply learned concepts and tools to real-world datasets, solving practical data science programs
iv. Cultivate a mindset of curiosity and critical thinking essential for success in data science
Course outline
i. Introduction to Python Basics
ii. Working with NumPy
iii. Data Manipulation with Pandas
iv. Data Visualization with Matplotlib and Seaborn
v. Exploratory Data Analysis (EDA)
vi. Hands-On Project and Case Studies
Lessons:
