Course Description:

This intensive program is designed for learners who want to gain a solid understanding of data science and machine learning in a short period of time. Students will learn how to collect and analyze data, develop predictive models, and make data-driven decisions. The program covers a range of topics including data analysis, programming languages, statistical inference, machine learning algorithms, and model evaluation. This course provides a quick and practical introduction to data science and machine learning, with a focus on real-world applications.

Course Objectives:

Demonstrate an understanding of fundamental data science concepts and techniques.

• Develop programming skills in Python and provide hands-on experience with popular Python
  libraries for data science and machine learning
• Understand descriptive and inferential statistics and their applications in data science and
  machine learning
• Implement various machine learning algorithms and techniques for model building and
  evaluation
• Provide hands-on experience in building machine learning models.
• Provide an overview of advanced concepts in Data Science such as Neural networks, Text
  Mining and Time Series Analysis.

Learning Outcomes:

After successful completion of this program, a learner will be able to

• Apply fundamental concepts of Data Science and Machine Learning to solve business
  problems
• Use popular Python libraries for data science and machine learning such as NumPy, Pandas,
  Matplotlib, Seaborn, and Scikit-learn
• Apply descriptive statistics and probability distributions to analyze data and create
  visualizations to gain insights
• Apply machine learning algorithms using Python for supervised and unsupervised learning.
• Build and implement machine learning algorithms for predictive modeling and clustering
• Write basic python codes to deal with text data and time series data.

Conclusion:

This program is designed for professionals who want to upskill quickly in Data Science and Machine Learning. The program covers the essential concepts, techniques, and tools required to build and deploy ML models. It covers a comprehensive range of topics to help participants develop a strong foundation in these fields and enhance their career prospects. Upon completion of this course, students will have the knowledge and skills necessary to pursue a career in this exciting and rapidly growing field.