Data Science foundations and practices
This course outline provides Data Science foundations and practices. From concepts to techniques.
This short program starts November 6 to December 5
Course Curriculum
1: Data Science Foundation.
- The Digital Edge.
- From Raw Data to Actionable Insight.
- The Evolution and Impact of Data Science
- Overview of Data Science and its role in decision-making.
- Introduction to the data science workflow.
- Understanding the importance of data-driven insights.
2: Introduction to Python
3: Introduction to Data Structure
4: Data Collection and Pre-processing
- Different sources and formats of data.
- Fundamental principles of data collection methods.
- Introduction to data cleaning techniques using Python and pandas.
5: Data Analytics, exploration and visualization
- Fundamentals of Exploratory Data Analysis (EDA).
- Introduction to data visualization using matplotlib and seaborn.
- Interpretation and communication of insights from visualizations.
6: Introduction to Machine Learning
- Basics of supervised and unsupervised learning.
- Overview of common machine learning algorithms (e.g., linear regression, decision trees).
- Hands-on experience with a simple machine learning project.
7: Final Project
- Guided project: Students build a simple predictive model using a provided dataset.
- Data pre-processing, feature selection, and model training.
- Evaluation of model performance.
Objective Of The Courses
🎓 Who Should Attend:
- Professionals aiming to upskill and harness the power of data.
- Students looking to explore an exciting career avenue.
- Entrepreneurs seeking data-driven strategies for business growth
Specifications Of The Courses
- Course format: Blended. Online live and in class at GITI location
- Hands-On Learning: Get your hands dirty with real-world datasets, learning how to wrangle, clean, and prepare data for analysis.
- Unleash the Algorithms: Explore the fascinating world of machine learning and witness how algorithms can predict, classify, and uncover hidden insights.
- Interactive Workshops: Engage in lively workshops where you'll collaborate with fellow enthusiasts, solving data puzzles and brainstorming solutions.
- Certificate of Completion: Earn a certificate showcasing your newly acquired data science prowess.
Pre-Requisites
- Basic knowledge of programming.
