4 Best Applied Data Science Courses & Tutorials - Learn Applied Data Science Online

Coursesity Team

Aug 24, 2024 • 6 min read

The Best Applied Data Science online courses and tutorials for beginners to learn Applied Data Science in 2024.

Are you ready to harness the power of data and unlock the potential of applied data science? In today's data-driven world, the ability to transform raw information into actionable insights is an invaluable skill. Whether you're an aspiring data scientist seeking to delve into real-world applications or a professional looking to enhance your data analysis prowess, our carefully curated selection of the best-applied data science courses and tutorials will pave the way to your success.

With an abundance of online resources available, finding the most effective and comprehensive learning path can be overwhelming. That's why we've done the legwork for you, handpicking the finest applied data science courses and tutorials that cover a wide spectrum of topics, tools, and techniques. These courses are designed to equip you with the knowledge and practical skills required to work with complex data sets, extract meaningful patterns, and make data-driven decisions that drive success across industries.

Throughout the blog, we'll provide insights into the course content, teaching methodologies, and the practical applications you'll encounter. You'll discover courses that introduce you to essential tools like Python, R, and data manipulation libraries, as well as those that delve into data visualization, statistical analysis, and predictive modeling. Additionally, we'll explore courses that unravel the mysteries of natural language processing, image recognition, and deep learning, enabling you to stay ahead in this rapidly evolving field.

Top Applied Data Science Courses, Tutorials, Certifications List

Applied Data Science
MySQL - Statistics for Data Science & Business Analytics
Applied Data Science with Python
Machine Learning Entrepreneurship - Applied Data Science

Disclosure: We're supported by the learners and may earn from course purchases.

1. Applied Data Science

Learn Applied Data Science from IBM. This is an action-packed specialization for data science enthusiasts who want to acquire practical skills for real-world data problems. It appeals to anyone interested in pursuing a career in Data Science.

Course rating: 4.7 out of 5.0 (7, 568 Ratings total)
Duration: 120 Hours
Certificate: Certificate of completion

In this data science course, you will:

You will learn Python - no prior programming knowledge necessary. You will then learn data visualization and data analysis.
Importing data sets and cleaning the data. Data frame manipulation and summarizing the data.
Through the guided lectures, labs, and projects you will get hands-on experience tackling interesting data problems.
Solidify your Python and data science skills before diving deeper into big data, AI, and deep learning.
Building machine learning Regression models and Building data pipelines Data Analysis with Python will be delivered through lectures, lab, and assignments.
You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

This 4-course program aims to empower you with the essential tools for data analysis and data-driven business decision-making. Whether you're new to programming or a seasoned professional, this specialization has it all. We'll kickstart your journey by introducing you to Python, a versatile and powerful language without any prior programming knowledge required. You'll learn how to analyze and visualize data using tools like Numpy and Pandas, used by data scientists worldwide.

Upon completing all courses in the specialization and receiving the Specialization certificate, you will also receive an IBM Badge recognizing you as a Specialist in Applied Data Science. Finally, you will create a project to test your skills.

You can take Applied Data Science Certificate Course on Coursera.

2. MySQL - Statistics for Data Science & Business Analytics

Data Science Statistics: Data Science from Scratch for Beginners: Data Analysis Techniques, Method Course: Analytics

Course rating: 4.2 out of 5.0 (552 Rating total)
Duration: 14.5 Hours
Certificate: Certificate of completion

In this MySQL course, you will :

Data analysis FAQ related to interview questions in your career.
Four main things you should know in data analysis and business analysis.

Course Contents:

Starting with FAQ related to interview questions in your career.
What is after data analysis?
Descriptive statistics with a collection of important quizzes and examples.
Normal distribution and standard normal in details using Z table.
Sampling distribution with practical simulation apps and answering important technical questions.
Confidence level and Confidence interval.
what is t distribution? ( with examples )
What is DEGREE OF FREEDOM? ( with examples )
One tail and two tails in Confidence level.

You can take the Statistics & Applied Data Science - Business Data Analysis Certificate Course on Udemy.

3. Applied Data Science with Python

Learn Applied Data Science with Python from the University of Michigan. The 5 courses in this University of Michigan specialization introduce learners to data science through the Python programming language.

Course rating: 4.5 out of 5.0 (26,047 Rating total)
Duration: 140 Hours
Certificate: Certificate of completion

In this Data Science course, you will:

Conduct an inferential statistical analysis.
Discern whether a data visualization is good or bad.
Enhance data analysis with applied machine learning.
Analyze the connectivity of a social network.

In this comprehensive course, students will gain the skills to work with tabular data, clean it, manipulate it, and perform basic inferential statistical analyses. The course will delve into information visualization basics, focusing on reporting and charting using the powerful matplotlib library. Learners will gain a design and information literacy perspective, understanding the principles of good and bad visualizations and how statistical measures translate into visual representations.

The second part of the course will introduce learners to the technology used for creating visualizations in Python, specifically the matplotlib library. Best practices for creating basic charts and implementing design decisions within the framework will be explored. The third week will serve as a tutorial on advanced functionality available in matplotlib, featuring a variety of basic statistical charts, and helping learners identify the most suitable methods for specific data problems.

Moving on, the course will delve into applied machine learning, focusing on techniques and methods rather than delving deeply into the statistics behind them. The differences between machine learning and descriptive statistics will be highlighted, and learners will be introduced to the scikit-learn toolkit through a hands-on tutorial. Topics like handling data dimensionality, clustering data, and evaluating clusters will be covered, along with supervised approaches for creating predictive models using scikit-learn.

Lastly, the course will introduce learners to the world of text mining and manipulation. It will begin by familiarizing students with how Python handles text, the structure of text for machines and humans, and an overview of the nltk framework for text manipulation. Learners will explore advanced methods for detecting document topics and grouping them by similarity using topic modeling.

This course should be taken after Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

You can take Applied Data Science with Python Certificate Course on Coursera.

4. Machine Learning Entrepreneurship - Applied Data Science

Learn how to transform your ML ideas into interactive web applications and paywall subscription sites - Master Class

Course rating: 4.8 out of 5.0 (34 Rating total)
Duration: 4 Hours
Certificate: Certificate of completion

In this data science course, you will:

Learn how to transform your ML ideas into fully interactive web applications and paywall subscription sites.
You will extend multiple Python machine learning ideas into fully interactive web applications, into a format that anybody anywhere can access as long as they have access to a web browser.
Your last project will be built around a professional paywall infrastructure so you can control and monetize how and whom can access it.

Whether you want to test out business ideas or share advanced and predictive analytics ideas with the world, the tools taught in this course will allow you to do that quickly and easily.

You can take Machine Learning Entrepreneurship - Applied Data Science Certificate Course on Udemy.

Wrapping Up

Thus, being aware of the fact that Data Science is such a demanding skill and people possessing expertise in this hot tech domain are paid hefty amounts, Applied data science is a must-have skill if you are an aspiring Data Scientist, Machine Learning Engineer or AI-Enthusiast!

The popularity is ever-increasing and thus, the above-compiled list can take you a long way in your career in the field of data science.

Hey! If you have made it this far then certainly you are willing to learn more and here at Coursesity, it is our duty to enlighten people with knowledge on topics they are willing to learn. Here are some more topics that we think will be interesting for you!