Course # 1: Machine Learning Certification

Course # 2 : Machine Learning Certification

Course #3: What is Data Science?

Course # 4 : Databases and SQL for Data Science

Course # 5 : The Data Science Course 2025: Complete Data Science Bootcamp

Course # 6 : Data Science A-Z™: Real-Life Data Science Exercises Included

Course # 7 : Tableau 2025 A-Z: Hands-On Tableau Training for Data Science

Course # 8 : Statistics for Data Science and Business Analysis

Course # 9 : Complete Machine Learning and Data Science: Zero to Mastery

Course # 10 : MIT Data Science and Statistics Certificate Program

Course # 11 : Complete Machine Learning and Data Science: Zero to Master

Course # 1: Machine Learning Certification

Imagine being part of the revolution of artificial intelligence and machine learning. Imagine learning from one of the most influential figures in AI and machine learning. You can make all these imaginations come true by enrolling in this online machine learning certification. This is the Supervised Machine Learning: Regression and Classification course, the first course of the Machine Learning Specialization offered by Coursera courses. In this course, you will learn from Andrew Ng,  one of the most respected experts in AI and machine learning. You will learn how to use Python and popular libraries such as NumPy and scikit-learn to create and train machine learning models for regression and classification problems. You will also learn the theory and intuition behind these models, such as linear regression, logistic regression, neural networks, and decision trees. This course is suitable for beginners who have some basic knowledge of Python and mathematics. By the end of this course, you will be able to apply supervised machine learning techniques to real-world data and generate useful insights. This course is the first step of the Machine Learning Specialization, a comprehensive and up-to-date program that covers the most important topics in modern machine learning, such as unsupervised learning, natural language processing, computer vision, and more. This program will help you master the fundamentals of machine learning and prepare you for a successful career in AI. Enroll now and start your journey to become a machine learning expert.

Offered by: Deep Learning via Coursera

Instructed by:

• Andrew Ng
• Aarti Bagul
• Geoff Ladwig
• Eddy Shyu

Price: FREE and Aid Available

Skills and Knowledge Imparted:

1. Supervised Learning
2. Tensorflow
3. Convolutional Neural Network
4. Deep Learning
5. Data Analysis
6. Xgboost
7. Bayesian Optimization
8. Gaussian Process
9. Markov Chain Monte Carlo (MCMC)
10. Variational Bayesian Methods
11. Linear Regression
12. Regularization to Avoid Overfitting
13. Logistic Regression for Classification
14. Gradient Descent

Difficulty Level: Advanced

Duration and Total Lectures: 10 months to complete; suggested 6 hours/week

Average User Rating: 4.9 (4,639 ratings)

Review:

This course on supervised machine learning offers a solid theoretical foundation with an emphasis on gradient descent. While some reviewers found the labs helpful and engaging, others felt they relied too heavily on Python knowledge and lacked difficulty variety. The instructor’s clear explanations and visualizations were praised, making complex concepts accessible. However, some critics pointed out the course’s shallowness, limited practical application, and lack of challenging examples. Overall, it seems suitable for those seeking a theoretical introduction with hands-on practice, but may not be ideal for complete beginners or those expecting in-depth exploration.

Course # 2 : Machine Learning Certification

If you’re fascinated by Machine Learning and want to learn from the experts, you should check out the “Machine Learning Specialization” by the University of Washington on Coursera. This online course covers the essential concepts and applications of Machine Learning, making it one of the best machine learning courses you can find. You’ll work on real-world problems such as predicting house prices, analyzing user reviews, and predicting loan defaults, using techniques like Prediction, Classification, Clustering, and Information Retrieval. You’ll also learn about logistic regression, decision trees, boosting, and document retrieval systems, among other topics. Whether you’re a business professional or a budding data scientist, this course will help you master the skills to use machine learning effectively. Join this course today and discover the exciting field of Machine Learning with Coursera’s user-friendly and interactive platform.

Offered by: University of Washington via Coursera

Instructed by: Emily Fox and Carlos Guestrin

Price: FREE and Aid Available

Skills and Knowledge Imparted:

1. 1. Data Clustering Algorithms
   2. Machine Learning
   3. Classification Algorithms
   4. Decision Tree

Difficulty Level: all levels

Duration and Total Lectures: 55 hours

Average User Rating: 4.9 (148,272 ratings)

Review:

Students have found the Machine Learning Specialization from the University of Washington via Coursera to be an exceptionally helpful and transformative learning experience. The top-down approach and well-structured iPython code assignments offer a challenging yet enjoyable journey. One student highlights the course’s effectiveness in enhancing understanding of regression, emphasizing the variance and bias of a model. The incorporation of notebooks aids in simplifying tasks and achieving better quiz results. The course covers regression concepts comprehensively, explaining gradient and coordinate descent algorithms adeptly. Students appreciate the course’s continuity, clear explanations, and practical applications. Despite some challenges with specific libraries, the overall sentiment is positive, emphasizing the course’s unique approach, hands-on practice, and valuable insights into machine learning concepts.

Course #3: What is Data Science?

If you are curious about data science, the most sought-after profession of the 21st century, this online course is for you. This Data Science course, the first course of the Data Science Specialization offered by Coursera. This course is provided by DeepLearning.AI and IBM, the leaders in deep learning and data and AI solutions. In this data science certificate, you will learn from experts and practitioners who will share their insights and experiences in data science. You will learn about the history, definition, roles, skills, and applications of data science, as well as the big data challenges, the cloud solutions, and the machine learning and deep learning techniques that data scientists use. This course is suitable for everyone who wants to explore the exciting world of data science and start their journey in this thriving field. By the end of this course, you will be able to answer the question “What is Data Science?” and understand the career opportunities and paths in the field. You will also complete a peer-reviewed final project and a case study that will help you apply what you learned in this course. Don’t miss this opportunity to learn from the best mentors and enroll now and start your journey to become a data scientist.

Offered by: University of Washington via Coursera

Instructed by: Emily Fox and Carlos Guestrin

Price: Enroll for Free and Financial Aid Available

Skills and Knowledge Imparted:

1. Data Clustering Algorithms
2. Machine Learning
3. Classification Algorithms
4. Decision Tree
5. Python Programming
6. Machine Learning Concepts
7. Deep Learning
8. Linear Regression
9. Ridge Regression
10. Lasso (Statistics)
11. Regression Analysis
12. Logistic Regression

Difficulty Level: intermediate

Duration and Total Lectures: 7 months (80+ Hours)

Average User Rating: 4.7 (22,190 ratings)

Review:

Students have found the IBM Data Science course on Coursera to be a valuable introduction to the field, offering a broad overview of what data science entails. Despite some expressing the content as basic, many appreciated its simplicity and engaging delivery, especially for those starting with minimal experience. The inclusion of interviews with data science professionals provided diverse perspectives, making complex concepts more accessible. Some learners praised the concise content and effective use of animations, while others noted that the course had room for improvement, suggesting a more streamlined approach. The emphasis on the structure of the final report received mixed reviews, with some finding it disproportionately focused. Overall, the course appears to cater well to beginners, providing a foundational understanding of data science concepts and inspiring confidence for further exploration in the field.

Course # 4 : Databases and SQL for Data Science

Data is everywhere and it holds the key to solving many real-world problems. But how can you access, and analyze data stored in databases? How can you use SQL, to extract insights and make data-driven decisions? How can you use Python to connect to databases and perform data analysis? If you want to learn the answers to these questions, this online coursera data science course is for you. This is the Databases and SQL for Data Science course, a part of the Data Science Specialization offered by Coursera. This course is provided by DeepLearning.AI and IBM. In this course, you will learn SQL from the very basics to the advanced concepts, such as SELECT, INSERT, UPDATE, DELETE, JOINs, views, transactions, and stored procedures. You will explore how to use Python and Jupyter notebooks to connect to databases and query data using SQL magic and SQLite python library. You will also work with real-world datasets and real data science tools on the cloud. This course is suitable for data professionals, such as data scientists, data analysts, and data engineers, who want to master SQL and use it in their projects. By the end of this course, you will be able to use SQL and Python to access, manipulate, and analyze data from databases. You will also complete a peer-reviewed final project and a case study that will help you apply what you learned in this course. Don’t miss this opportunity and enroll now and start your journey to become a data scientist.

Offered by: IBM via Coursera

Instructed by: Rav Ahuja and Hima Vasudevan

Price: Enroll for Free and Financial Aid Available

Skills and Knowledge Imparted:

• Python Programming
• Cloud Databases
• Relational Database Management System (RDBMS)
• SQL
• Jupyter notebooks

Difficulty Level: Beginner

Duration and Total Lectures: Approx 20 hours

Average User Rating: 4.7 (40,014 ratings)

Review:

Students who enrolled in the course found it to be overall beneficial, praising its practical approach to understanding DB2 infrastructure, creating databases on IBM Cloud, and executing SQL queries through Python-based Jupyter notebooks. The course received positive feedback for its emphasis on real-world applications, such as troubleshooting loading errors, creating tables on live IBM DB2 instances, and connecting to databases using Python. However, some challenges were noted, including typos, unclear instructions in labs, and discrepancies in labeling weeks and modules. Despite these concerns, students appreciated the course’s effectiveness in teaching SQL within the context of IBM’s proprietary DB2 database. The integration of Python/Jupyter notebooks and the hands-on labs were highlighted as significant strengths, contributing to a comprehensive learning experience. Overall, the course was well-received for its structured content and hands-on approach, with suggestions for minor improvements in instruction clarity and technical issue resolution.

Course # 5 : The Data Science Course 2025: Complete Data Science Bootcamp

Are you aspiring to become a sought-after data scientist in the 21st century job market? Look no further than The Data Science Course 2024, an exceptional online course on Udemy that goes beyond the typical offerings. This comprehensive program covers both fundamental and advanced topics in a logical and engaging manner, distinguishing itself from superficial overviews or disjointed collections of topics. Packed with 31 hours of on-demand video lectures, coding exercises,articles, and downloadable resources, the course provides practical and updated content. Offering full lifetime access, accessibility features, and a supportive instructor, the course ensures an enriching learning experience. Obtain a valuable data science certificate to enhance your resume, and delve into tools like Python, NumPy, pandas, and TensorFlow. Master statistical analysis, data visualization, machine learning, and deep learning, all while applying these skills to real-life business cases. No prior experience is required; the course begins with the basics, guiding you step by step. All you need is a computer, an internet connection, and a desire to learn. Don’t miss out on the opportunity to kickstart your journey toward becoming a proficient data scientist—enroll in The Data Science Certification today!

Offered by: Udemy

Instructed by: 365 Careers

Price: $75

Skills and Knowledge Imparted:

1. Cloud Databases
2. Python Programming
3. Ipython
4. Relational Database Management System (RDBMS)
5. SQL

Difficulty Level: Beginner

Duration and Total Lectures: 31.5 hours on-demand video

Average User Rating: 4.6 (148,444 ratings)

Review:

Students have found The Data Science Course to be exceptionally helpful, praising its practical approach and clear explanations. The course stands out for teaching necessary fundamentals with depth, offering real-life examples, and consolidating knowledge effectively. Learners appreciate the step-by-step guidance, practical applications, and comprehensive content, with some suggesting improvements like adding challenging tasks and including specific topics like deploying models on GitHub. Overall, it caters well to absolute beginners and those with weak mathematical backgrounds, providing a valuable learning experience. The course is commended for its systematic organization, engaging videos, and the animation used to explain complex concepts.

Course # 6 : Data Science A-Z™: Real-Life Data Science Exercises Included

If you want to learn data science from A to Z, then you should enroll in Data Science A-Z: Hands-On Exercises & ChatGPT Prize, the most comprehensive and practical data science online course on Udemy. This course will teach you how to perform all steps in a complex data science project, from data mining and modeling to visualization and presentation. You will learn how to use Tableau, SQL, Excel, and Python to create stunning visualizations, powerful scripts, and effective algorithms. You will also explore how to apply statistical tests, linear and logistic regressions, geodemographic segmentation, and other advanced techniques to analyze and interpret data. You will get a data science certificate, 21 hours of video lectures, 8 articles, and access on mobile and TV. Plus, you will have a chance to win a ChatGPT prize by completing hands-on exercises and real analytics examples. Don’t miss this opportunity to become a data scientist. Enroll now and start learning today

Offered by: Udemy

Instructed by: Kirill Eremenko, SuperDataScience Team

Price: $90

Skills and Knowledge Imparted:

1. Clean and prepare your data for analysis
2. How to perform basic visualization of your data
3. How to model and curve-fit your data
4. SQL
5. SSIS
6. Tableau

Difficulty Level: All levels

Duration and Total Lectures: 21.5 hours, 217 lectures

Average User Rating: 4.5 (27,788 ratings)

Review:

Students commend The Data Science Course for its engaging content, well-structured modules, and clear explanations, describing it as a fantastic and comprehensive program. The course is praised for its practical aspects, hands-on experience, and a fair mix of theory. Learners appreciate Kirill’s effort in explaining concepts and the teacher assistants for their support. The course’s valuable insights and practical skills, particularly in statistics and working with Visual Studio, receive positive feedback. While some students desire more real-time examples with large datasets and suggest improvements in outdated content, the overall consensus is highly recommended for its educational value.

Course # 7 : Tableau 2025 A-Z: Hands-On Tableau Training for Data Science

Are you ready to master Tableau 2025, the most popular and powerful data visualization tool for data science? Do you want to learn how to create stunning charts, maps, dashboards, and stories with real-life data? You can’t become good at data science practices and techniques without being good at Tableau. It’s one of the most popular data visualization tools used in data science and business intelligence professionals. This is the ‘magic’ tool that enables professionals to create vibrant, impactful visualizations in a colourful and interactive way. This course will teach you how to install Tableau, connect it to various datasets, and perform data analysis and data blending. Through this data science course, you’ll not just be learning how to create flashy pie charts here and there, but also learning how to export/import them from other software, make them interactive and basically, give them a life of their own. A team of experts called the SuperDataScience Team have pooled their skills together to create this course. So, you’re sure to learn from the best!

Offered by: Udemy

Instructed by: Kirill Eremenko, SuperDataScience Team

Price: $13.19

Skills and Knowledge Imparted:

1. Connecting Tableau to various datasets: Excel and CSV files
2. Creating barcharts, maps, scatterplots, interactive dashboards, etc
3. Types of Joins and how they work
4. Table calculations
5. Creating dual axis charts
6. Exporting results from Tableau into Powerpoint, Word, and other software
7. Advanced data preparation (including latest updates in Tableau)

Difficulty Level: All levels

Duration and Total Lectures: 8.5 hours, 78 lectures

Average User Rating: 4.6 (55,640 ratings)

Review:

Students appreciate The Data Science Course for its comprehensive content, clear explanations, and engaging teaching style. Kirill’s ability to simplify complex Tableau features and showcase their practical applications resonates well with learners. Despite some feedback on the pace and language speed, students find the course valuable for enhancing data visualization skills. The course’s hands-on approach, real-life examples, and gradual progression from basics to advanced techniques contribute to its effectiveness. Some suggestions include providing alternate explanations for different Tableau versions and incorporating challenges for independent practice. Overall, students recommend the course for its educational value and practical applications in the data science field.

Course # 8 : Statistics for Data Science and Business Analysis

Are you interested in becoming a data scientist or analyst? Do you want to learn the essential statistics skills for your career? If yes, then this is the course for you! Statistics for Data Science and Business Analysis is a comprehensive and practical online course that will teach you everything you need to know about descriptive and inferential statistics, hypothesis testing, regression analysis, data visualization, and more. You will also learn how to use Python and R for data science. This course is designed for beginners, so you don’t need any prior experience or knowledge. You just need a willingness to learn and practice. By the end of this course, you will be able to perform complex statistical analysis and make data-driven decisions in any situation. You will also get access to high-quality animations, exercises, resources, and support from a knowledgeable instructor. This is not a boring lecture, but a fun and engaging learning experience. So what are you waiting for? Enroll now and get your data science certificate today!

Offered by: Udemy

Instructed by: 365 Careers, 365 Careers Team

Price: $18.99

Skills and Knowledge Imparted:

1. Fundamentals of statistics
2. Working with different types of data
3. Calculating measures of central tendency, asymmetry, and variability
4. Correlation and co-variance
5. Estimating confidence intervals
6. Performing hypothesis testing
7. Regression analysis
8. Understanding dummy variables

Difficulty Level: all levels

Duration and Total Lectures: 5 hours, 92 lectures

Average User Rating: 4.5 (17,639 ratings)

Review:

Students have found this statistics course to be a helpful and thorough resource, offering a decent understanding of various statistical concepts. The utilization of Excel for exercises is particularly praised for its practicality. Some students appreciate the clear explanations and real-life examples, making complex topics more accessible. However, a few express concerns about rushed explanations in certain sections, suggesting a need for more comprehensive coverage and nuanced explanations. Despite minor critiques, the course is highly recommended for beginners and those seeking a refresher in statistics, especially for its practical application in analytics for games and business.

Course # 9 : Complete Machine Learning and Data Science: Zero to Mastery

Do you want to master Data Science and Machine Learning with Python, Tensorflow 2.0, and other cutting-edge tools? Do you want to build a portfolio of real-world projects and get hired as a Data Scientist or Machine Learning engineer? If yes, then this is the course for you!

Complete A.I. & Machine Learning, Data Science Bootcamp is the most modern, up-to-date, and comprehensive course on Udemy. You will learn everything from scratch, from Python programming to deep learning, transfer learning, and data engineering. You will also understand how to present your projects, choose the best models, and improve your skills. This course is focused on efficiency and fun, so you will never get bored or confused. You will also get access to all the code, workbooks, and templates on Github, so you can easily showcase your work.

This course is suitable for beginners and experienced programmers alike. You can skip the Python basics if you already know them, or learn them along the way. You will also get support from the instructor and the community whenever you need it. This course is not just a lecture, but a hands-on learning experience that will make you a complete A.I., Data Scientist and Machine Learning engineer. So what are you waiting for? Enroll now and get ready to go from zero to mastery!

Offered by: Udemy

Instructed by: Andrei Neagoie, Daniel Bourke

Price: $18.99

1. Data Exploration and Visualizations
2. Neural Networks and Deep Learning
3. Model Evaluation and Analysis
4. Python 3
5. Numpy
6. Data science and machine learning projects and workflows
7. Image recognition and classification…and a whole lot more!

Difficulty Level: all levels

Duration and Total Lectures: 43 hours, 370 lectures

Average User Rating: 4.6 (5,016 ratings)

Review:

Students find this machine learning and data science course highly beneficial for its extensive content and practical approach. The inclusion of a Python introductory course adds value. The hands-on exercises and milestone projects, coupled with real-world scenarios, enhance the learning experience. The instructors are praised for clear explanations and making complex topics accessible. While some suggest brief explanations of model workings, the course’s comprehensiveness is recognized. A few mention initial ease followed by challenging sections. Overall, students recommend it as a thorough and practical guide to machine learning, especially for beginners and those seeking Python integration.

Course # 10 : MIT Data Science and Statistics Certificate Program

You can’t think of a field like data science and not think of MIT at the same time. One of the best institutes for fields of this kind, this MITx MicroMasters certificate is granted after completion of 5 courses. This program will provide you with foundational knowledge of methods used in data science. Hands-on training in data analysis and machine learning is also provided. All through the course duration, you will be learning, implementing, and experiment with data analysis techniques and machine learning algorithms. You’ll be ready to apply to any major data science role with the help of this certificate; not to mention the geniuses who have penned down and led this program.

Offered by: MIT via edX

Instructed by: 15 MITx data science professionals

Price: $1,350

Skills and Knowledge Imparted:

1. Foundations of data science
2. Analyzing big data; making data-driven predictions through probabilistic modeling and statistical inference
3. Machine learning algorithms …and so much more!

Difficulty Level: Intermediate

Duration and Total Lectures: 1 year and 2 months; 10 – 14 hours per week

Average User Rating: 4.6

Review:

This Data Science Training program is not just suitable for learners, but even professionals working in the field of data science. If you don’t want to compromise on quality, want to learn from the best in a short span of time, this is the way to go. You can even undertake this course on the go, alongside your day job. It’s one of the most professional, up-to-date data science courses out there right now.

Course # 11 : Complete Machine Learning and Data Science: Zero to Master

Are you ready to become a Data Science and Machine Learning expert? Do you want to learn from the best and join a community of over 900,000 engineers who are working at top tech companies like Google, Tesla, Amazon, and Meta? Do you want to have fun while learning the most cutting-edge skills and tools in the field? If you answered yes, then this is the course for you!

This is the most complete and modern Data Science online course on Udemy. You will learn everything from Data Analysis, Machine Learning, Deep Learning, Neural Networks, Data Engineering, and Python using the latest versions of Tensorflow, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, and more! You will also get access to real life case studies, projects, code, and notebooks that you can use to build your portfolio and impress your future employers. You will also learn how to present your work, choose the best models, improve your results, and set up your developer environment.

This course is designed for all levels of learners, whether you have prior programming experience or not. You will start from the very basics and go from zero to mastery in no time. All the tools used in this course are free and you only need a computer with internet connection to get started. This course is your ultimate guide to becoming a Data Scientist and Machine Learning engineer. Enroll now and get your data science certificate today!

Offered by: Udemy

Instructed by: Andrei Neagoie and Daniel Bourke

Price: $10

Skills and Knowledge Imparted:

1. Foundations of data science
2. Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
3. Classification and Regression modelling
4. Machine learning algorithms …and so much more!

Difficulty Level: Intermediate

Duration and Total Lectures: 43.5 hours

Average User Rating: 4.6

Review 

The course received positive feedback from students, appreciating its extensive content and inclusion of a Python introductory course. They found value in the practical application of real-world scenarios. Students praised Daniel Bourke as a great instructor, highlighting the clear and comprehensive nature of the course. Many liked the hands-on approach, where coding was done in real-time, allowing them to learn by doing. Some suggested improvements, such as more in-depth coverage in certain sections. Overall, students recommended the course for its thoroughness, practicality, and the opportunity to go from “ZERO TO MASTERY” in machine learning and data science.