Udemy – Learn Python for Data Science and Machine Learning from AZ 2021-10 – Download

• NumPy – A library that makes various mathematical and statistical tasks easier. It is also the basis for many features of the pandas library.

• Pandas — A Python library created specifically to facilitate working with data, it is the bread and butter of many Python data science tasks.

NumPy and Pandas are great for exploring and playing with data. Matplotlib is a data visualization library that creates charts like you find in Excel or Google Sheets. By combining practical work with solid theoretical instruction, we’ll show you the basics of Python programming for data science. This Machine Learning with Python course covers the basics of machine learning using Python. You’ll learn about supervised learning vs. unsupervised learning, see how statistical modeling relates to machine learning, and compare each. While we know theory is important for building a solid foundation, we also know theory alone isn’t enough, so this course is packed with practical examples you can follow step by step. Regardless of whether you already have coding experience or you want to learn about the advanced features of the Python programming language, this course is for you! Python coding experience is required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT professionals, database developers, and many others. Adding Python programming language skills to your resume will help you land any of these data specializations that require proficiency in statistical techniques. Together, we’ll teach you not only the essentials you need to know about writing code in Python, analyzing and visualizing data, and using machine learning algorithms, but also how to get paid for new programming skills you developed yourself. This course covers 5 main areas:

1: Introduction to Python Course for DS+ML

This introductory section gives you a complete introduction to Python for data science and machine learning courses, data science industry and market, job opportunities and salaries, and various data science job roles.

• Introduction to Data Science + Machine Learning with Python
• Data Science Industry and Market
• Job Opportunities in Data Science
• How to get a data science job
• Concepts and Algorithms of Machine Learning

2: Python Data Analysis/Visualization

This section gives you a complete introduction to data analysis and data visualization with Python with step-by-step tutorials.

• Python Crash Course
• Numpy data analysis
• Pandas data analysis

3: Mathematics for Data Science

This section gives you a complete introduction to the mathematics of data science like statistics and probability.

• descriptive statistics
• Measurement of variability
• inferential statistics
• Possibility
• hypothesis testing

4: Machine Learning

This section gives you a complete introduction to machine learning including supervised and unsupervised ML with step-by-step tutorials.

• Introduction to Machine Learning
• Data Preprocessing
• linear regression
• logistic regression
• k-nearest neighbors
• decision trees
• Group Training
• support vector machines
• K-means clustering
• PCA

5: Starting a Career in Data Science

This section gives you a complete introduction to starting a career as a data scientist with step-by-step practical training.

• Create a resume
• Create a cover letter
• personal branding
• Freelancer + Freelance Websites
• The importance of having a website
• Networking

By the end of the course you will become a professional data scientist with Python, apply for jobs with confidence and feel good knowing you have the skills and knowledge to back it up.

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