Now to bridge the gap between industry and IT students, Skill Shikshya is launching, a two-month Data Science and Machine Learning Course.

Data Science and Machine Learning Course with Python covers complete Introduction to Programming Languages, Python, Basics of Data Science, Machine Learning, Deep Learning, Natural Language Processing, Web Interfaces, and More.

Data Science is an interdisciplinary field that involves extracting insights and knowledge from data using various techniques and tools. It encompasses various stages of data processing, such as data collection, data cleaning, data analysis, and data visualization. The aim of data science is to provide valuable insights and knowledge to solve complex problems using data-driven approaches.

Machine learning is a subset of data science that involves the use of statistical algorithms and models to enable computers to learn from data without being explicitly programmed. It focuses on developing algorithms that can learn patterns and make predictions or decisions based on data.

Python is a popular programming language for data science and machine learning due to its ease of use, rich library support, and scalability. It offers a wide range of libraries and frameworks, such as Pandas, NumPy, Scikit-learn, Tensorflow, and Keras, that provide powerful tools for data manipulation, statistical analysis, and machine learning modeling. Python is also open-source, which means that it is free to use and has a large community of developers that contribute to its development and support.

Career Opportunities After Completing the Data Science and Machine Learning Course

• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Big Data Engineer
• Business Intelligence (BI) Developer
• AI Research Scientist
• Cybersecurity Analyst with a Data Focus
• Healthcare Informatics Specialist
• Financial Analyst with Data Emphasis
• Entrepreneurship and Consulting

Data Science and Machine Learning Course Contents

• Programming Fundamentals {Python Basic}
• Python Core
• Basics to Data Science
• Machine Learning – I
• Machine Learning – II
• Deep Learning – I
• Deep Learning – II
• Natural Language Processing and Web Interface

Check out the complete syllabus.