Course Overview
Data Science is transforming the way businesses make decisions, uncover insights, and solve real-world problems. This track provides a hands-on, practical learning experience, guiding you through data analysis, machine learning, big data, and cloud computing. You’ll work on real-world projects and case studies, gaining experience in tools and techniques used by top industry professionals.
The course focuses on critical thinking and problem-solving, helping you analyze and visualize data with confidence. Through interactive exercises and practical applications, you’ll develop expertise in data processing, predictive modeling, and cutting-edge technologies that drive the modern data-driven world
What You’ll Experience
- Develop a strong foundation in data science and analytics.
- Work with real-world datasets to uncover insights and trends.
- Gain hands-on experience with industry-relevant tools and techniques.
- Learn to communicate data-driven insights effectively.
- Engage in collaborative problem-solving and interactive exercises.
- Master the end-to-end data science workflow, from data collection to machine learning.
Syllabus
Introduction to Data Science
- What is data science
- Descriptive Statistics
- Probability in Data Science
- Common Distributions
Data processing & Exploratory Data Analysis
- Data handling & Manipulation with pandas
- Data Visualization with python
- Data transformation & feature scaling
- Data wrangling with python
- Exploratory Data Analysis (EDA)
Machine Learning Fundamentals
- Supervised learning algorithm
- Model Evaluation & Validation
- Model Evaluation Metrics
- Cross Validation & Hyperparameter Tuning
- Advanced Machine Learning Techniques
Big Data & Cloud Computing
- Big Data Overview
- Cloud Platform for Data Science
Learning Outcomes
- Develop expertise in data science methodologies and techniques.
- Master data handling, processing, and analysis using Python.
- Gain proficiency in machine learning algorithms and model evaluation.
- Enhance visualization and storytelling skills using data visualization tools.
- Learn to work with cloud computing and big data technologies.
- Apply knowledge to real-world projects and case studies
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