Certified Data Science - Live Course

Course Curriculum:

1. Foundations of Data Science:

   • Introduction to data types and structures
   • Basics of programming (Python, R)
   • Data cleaning and preprocessing

2. Statistical Analysis:

   • Descriptive and inferential statistics
   • Probability distributions
   • Hypothesis testing

3. Machine Learning:

   • Supervised and unsupervised learning
   • Regression and classification models
   • Clustering algorithms

4. Data Visualization:

   • Tools like Matplotlib, Seaborn, Tableau
   • Storytelling through data

5. Big Data and Hadoop:

   • Handling large datasets
   • Distributed computing

6. Deep Learning:

   • Neural networks
   • TensorFlow and PyTorch frameworks

7. Data Ethics and Privacy:

   • Ethical considerations in data science
   • Privacy issues and compliance

8. Capstone Project:

   • Apply skills to a real-world problem

Overview: This program is designed to equip you with the skills needed to navigate the vast field of data science. You'll gain hands-on experience through projects, learn from industry experts, and develop a deep understanding of both the theory and practical applications of data science.

Student Benefits:

• Hands-On Experience: Engage in real-world projects to apply your learning.
• Industry-Relevant Skills: Acquire skills directly applicable in today's data-driven industries.
• Networking Opportunities: Connect with professionals and fellow students in the field.
• Career Support: Access resources for resume building, interview preparation, and job placement assistance.

Career Options: Upon completion, you could explore roles such as:

• Data Scientist
• Machine Learning Engineer
• Business Intelligence Analyst
• Data Engineer
• Analytics Consultant

The demand for data science professionals is soaring, and this certificate can open doors to various industries like finance, healthcare, e-commerce, and more.