4.5
Beginner
6h
Updated 3 weeks ago
An Introductory Guide to Data Science and Machine Learning
Gain insights into data science and machine learning, explore essential concepts and libraries, and work on real-time projects to become a confident data scientist.
Content
1.
What is Data Science ?
4 Lessons
Get familiar with the core concepts and distinctions of data science and its lifecycle.
2.
Applications of Data Science
2 Lessons
Get started with data science in healthcare, recommender systems, and image analysis applications.
3.
Overview of Libraries
13 Lessons
Break apart essential data science libraries: Beautiful Soup for web scraping, Numpy for array operations, Pandas for data analysis, and Spacy for NLP.
4.
Probability and Statistics
13 Lessons
Grasp the fundamentals of probability, statistics, distributions, skewness, sampling, and hypothesis testing.
5.
Machine Learning Part-1
21 Lessons
Deepen your knowledge of machine learning basics, types, regression techniques, feature engineering, and model evaluation measures.
6.
Machine Learning Part-2
15 Lessons
Follow the process of exploring classification algorithms and techniques to evaluate model performance.
7.
Machine Learning Part-3
7 Lessons
Piece together the parts of unsupervised learning, clustering techniques, and semi-supervised learning applications.
8.
Deep Learning
8 Lessons
Sharpen your skills in deep learning, neural networks, CNNs, RNNs, and LSTM networks.
9.
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.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
Developed by MAANG Engineers
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
Anthony Walker
@_webarchitect_
"Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!"
Evan Dunbar
ML Engineer
"You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it."
Software Developer
Carlos Matias La Borde
"I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site"
Souvik Kundu
Front-end Developer
"Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content."
Vinay Krishnaiah
Software Developer
Hands-on Learning Powered by AI
See how Educative uses AI to make your learning more immersive than ever before.
AI Prompt
Code Feedback
Explain with AI
AI Code Mentor
Free Resources
