HomeCoursesAn Introductory Guide to Data Science and Machine Learning

Beginner

An Introductory Guide to Data Science and Machine Learning

Gain insights into data science fundamentals, explore machine learning and big data, and delve into real-time projects. Discover systematic approaches to data acquisition, wrangling, and solving diverse problems.

Join 2.8M developers at

Overview

Content

Reviews

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.

There is a lot of dispersed, and somewhat conflicting information on the internet when it comes to data science, making it tough...Show More

Content

93 Lessons

What is Data Science ?

4 Lessons

Get familiar with the core concepts and distinctions of data science and its lifecycle.

Data Science vs. Data Analysis vs. Data Engineering

Descriptive and Predictive Analytics

Data Science Life Cycle

Structured vs. Semi-Structured vs. Unstructured Data

Applications of Data Science

2 Lessons

Get started with data science in healthcare, recommender systems, and image analysis applications.

Applications in Healthcare and Recommender Systems

Image Analysis

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.

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.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Jamshaid Sohail

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

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.

Personalized Interview Prep

Skip the LeetCode grind with a custom roadmap that adapts to your goals. Hands-on practice for Coding Interviews, System Design, and more.

Mock Interviews

Test your skills in a simulated interview setting. Receive personalized feedback based on your performance. Available for Coding Interviews, System Design, and more.

AI Prompt

Build prompt engineering skills. Practice implementing AI-informed solutions.

Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!

Free Resources

FOR TEAMS

Interested in this course for your business or team?

Unlock this course (and 1,000+ more) for your entire org with DevPath

Learn in-demand tech skills in half the time