Welcome to this course. You might already know that there’s a wealth of data science and machine learning resources available on the market, but what you might not know is how much is left out by most of these AI resources. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. This course not only covers everything you need to know about algorithm families but also ensures that you become an expert in everything, from the critical aspects of avoiding bias in data to model interpretability, which have now become must-have skills. Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. This course gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. If you’re a data analyst or data science professional looking to make the most of Anaconda’s capabilities and deepen your understanding of data science workflows, then this course is for you. You don’t need any prior experience with Anaconda, but a working knowledge of Python and data science basics is a must.

This course seeks to fill all those gaps and has a comprehensive syllabus that tackles all the major components of data science knowledge. You will be using data science to solve common business problems throughout this course. You will start with the basics of Python, Pandas, Scikit-learn, NumPy, Keras, Prophet, statsmod, SciPy, and more. You will learn statistics and probability for data science in detail. Then, you will learn visualization theory for data science and analytics using Seaborn, Matplotlib, and Plotly.

In this course, you'll learn:

• Introduction to Data Science

• Learn and Understand the Key Data Science Concepts

• Understanding Python Pandas

• Learn and Understand Bokeh

• Learn How to Manage Packages

• Understanding Machine Learning with Scikit-Learn

• Learn How to Analyze your data efficiently with the most powerful data science stack

• Learn How to Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda

At the end of the course, you will learn all the major components of data science and gain the confidence to enter the world of data science.