Break apart essential data science libraries: Beautiful Soup for web scraping, Numpy for array operations, Pandas for data analysis, and Spacy for NLP.

Probability and Statistics

13 Lessons

Grasp the fundamentals of probability, statistics, distributions, skewness, sampling, and hypothesis testing.

Machine Learning Part-1

21 Lessons

Deepen your knowledge of machine learning basics, types, regression techniques, feature engineering, and model evaluation measures.

Machine Learning Part-2

15 Lessons

Follow the process of exploring classification algorithms and techniques to evaluate model performance.

Machine Learning Part-3

7 Lessons

Piece together the parts of unsupervised learning, clustering techniques, and semi-supervised learning applications.

Deep Learning

8 Lessons

Sharpen your skills in deep learning, neural networks, CNNs, RNNs, and LSTM networks.

Machine Learning Tools and Libraries

3 Lessons

Get started with essential tools and libraries for efficient machine learning.

10.

Big Data Tools and Technologies

4 Lessons

Examine Big Data characteristics, Hadoop, Map Reduce, Apache Spark, and their applications.

11.

Where to go next ?

3 Lessons

Apply your skills to Kaggle, courses from Educative, and essential references.

Fundamentals of Data Science

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Machine Learning Fundamentals

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Developed by MAANG Engineers

ABOUT THIS COURSE

There is a lot of dispersed, and somewhat conflicting information on the internet when it comes to data science, making it tough to know where to start. Don't worry. This course will get you familiar with the state of data science and the related fields such as machine learning and big data. You will be going through the fundamental concepts and libraries which are essential to solve any problem in this field. You will work on real-time projects from Kaggle while also honing your mathematical skills which will be used extensively in most problems you face. You will also be taken through a systematic approach to learning about data acquisition to data wrangling and everything in between. This is your all-in-one guide to becoming a confident data scientist.

ABOUT THE AUTHOR

Jamshaid Sohail

I am a Data Scientist holding an industrial experience of 4 years. I have completed over 67 online courses and currently pursuing my Masters in Data Science from RWTH Aachen University. I have authored 4 courses related to Data science.

Learn more about Jamshaid

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