Best Paid and Free Courses for Learning Data Science, Data Engineering, and MLOps - Part 1

Upgrade Your Skills: Education without application is just entertainment.

Very first post of Feb 2023: Hope you are working out on Health, Career and other aspects of your life. Today I have listed down few real gems platforms paid and free, depends upon your vision and pocket, choose wisely.

Lets learn some skills!

Discussing some of the best platforms for learning data science, data engineering, MLOps, and other related topics.

I have divided into two categories:

• Paid and

• Free courses.

I hope this will help you in making an informed decision about which platform to choose for your learning needs.

Paid Courses:

Coursera:

Coursera is a great place to take online courses and earn certificates in a variety of fields, including data science, machine learning, data engineering, data analysis, MLOps, business analysis, and Python development. Coursera offers courses from top universities and industry experts, and learners can choose from a variety of formats, including video lectures, quizzes, and hands-on projects.

Learners who complete a course on Coursera can earn a certificate, which can be shared on their resume, LinkedIn profile, or other professional platforms. These certificates can demonstrate to employers and other stakeholders that the learner has gained knowledge and skills in a particular field, which can be a valuable asset in today's job market.

Data Science:

1. Applied Data Science with Python Specialisation

2. Data Science Math Skills

3. Data Analysis and Visualization Foundations Specialization

Machine Learning:

1. Machine Learning by Andrew Ng

2. Deep Learning Specialization

3. Reinforcement Learning Specialization

4. Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate

Data Engineering:

1. Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

2. Introduction to Data Engineering

3. Data Engineering, Big Data, and Machine Learning on GCP Specialization

4. Preparing for Google Cloud Certification: Cloud Developer Professional Certificate

Data Analysis:

1. Data Analysis with Python

2. Statistics with Python Specialization

3. SQL for Data Science

MLOps:

1. Machine Learning Operations (MLOps) Fundamentals

2. ML Pipelines on Google Cloud

3. Deploying Machine Learning Models

4. Deploying Machine Learning Models in Production

Business Analysis:

1. Business Analytics Specialization

2. Google Data Analytics Professional Certificate

3. Business Intelligence Concepts, Tools, and Applications

Python Development:

1. Python for Everybody

2. Python Data Structures

3. Using Python to Access Web Data

Udacity

Udacity offers a variety of courses on data science, machine learning, and artificial intelligence. It offers both self-paced and instructor-led courses, making it an excellent platform for learners with different learning styles. Some of the most popular courses on Udacity include the Data Analyst Nanodegree, Artificial Intelligence for Trading, and Self-Driving Car Engineer Nanodegree.

Data Science:

1. Data Scientist Nanodegree

2. Data Visualization Nanodegree

Machine Learning:

1. AWS Machine Learning Engineer

2. Artificial Intelligence for Trading Nanodegree

3. Deep Learning Nanodegree

Data Engineering:

1. Data Engineer with AWS Nanodegree

2. Data Streaming Nanodegree

Data Analysis:

1. Data Analyst Nanodegree

Business Analysis:

1. Business Analytics Nanodegree

Product Managers:

1. Product Manager Nanodegree

Digital Marketing:

1. Digital Marketing Nanodegree

DataCamp

DataCamp is a platform that specializes in data science and offers courses on topics like data visualization, data analysis, and machine learning. It has a unique teaching approach that emphasizes hands-on learning, making it an excellent platform for those who prefer to learn by doing. Some of the most popular courses on DataCamp include Data Scientist with Python and Machine Learning Fundamentals with Python.

1. Data Science:

• Introduction to Data Science in Python

• Data Manipulation with pandas

• Intermediate Data Visualization with Seaborn

2. Machine Learning:

• Supervised Learning with scikit-learn

• Unsupervised Learning in Python

• Introduction to Deep Learning in Python

• Writing Efficient Code with pandas

3. Data Engineering:

• Introduction to PySpark

• Building Data Engineering Pipelines in Python

4. Data Analyst:

• Cleaning Data in SQL Server Databases

• Intermediate SQL

• Cleaning Data in Python

5. MLOps:

• MLOps Deployment and Life Cycling

• MLOps Concepts

6. Business Analyst:

• A/B Testing in R

7. Python Developer:

• Object-Oriented Programming in Python

• Writing Efficient Code with Python

• Python for MATLAB Users

NOTE: None of them paid me for listing these course here.

Now, the paid course it already so long list, just digest and do your own research. For Free Courses stay tuned for Part 2 of this blog.

Which one have you used or planning, let us know 👇