Course # 1: Advanced Machine Learning Certification
This data science specialization comprises of 7 courses in total. And they are all delivered by top leading experts in the field of AI and data science. In fact, you will even get to learn some words of wisdom from scientists working at CERN! Through these courses, you will not only gain a thorough understanding of the ins and outs of data science and machine learning, but will also get to apply learnt theory for solving real-world problems, such as automatic game playing, image captioning, etc. Everything you learn in this course, from instructors that will make the world of data science easy to grasp, will bring you closer to current, state-of-the art in AI.
Offered by: Higher School of Economics via Coursera
Instructed by: Evgeny Sokolov +20 more instructors (Computer Science faculty at
Higher School of Economics)
Price: FREE
Skills and Knowledge Imparted:
1. Recurrent Neural Network
2. Tensorflow
3. Convolutional Neural Network
4. Deep Learning
5. Data Analysis
6. Feature Extraction
7. Feature Engineering
8. Xgboost
9. Bayesian Optimization
10. Gaussian Process
11. Markov Chain Monte Carlo (MCMC)
12. Variational Bayesian Methods
Difficulty Level: Advanced
Duration and Total Lectures: 10 months to complete; suggested 6 hours/week
Average User Rating: 4.4 (4,639 ratings)
Review:
This data science coursework bundle helped half of the students undertake a whole new flourishing career in the field of data science. Not just less than half, or a quarter, but complete half! And the rest went on to hone their existing skills with the help of all they acquired in these courses and landing handsome promotions as a result.
Course # 2 : Machine Learning Certification
Machine learning is a part of our lives in ways we don’t even recognize. We make use of its benefits without even realizing when, where, how and why. It not only drives our cars and advanced coffee machines, but even our cell phone devices, camera and so much more. This certificate course about data science, put together by the founding lead of Google Brain, Andrew Ng, explores all the ways the field inculcates within it the amazingness that is machine learning, its everyday applications, but also delves deeper into advanced topics, such as datamining, statistical pattern recognition, etc.
Offered by: Stanford University via Coursera
Instructed by: Andrew Ng (Professor and Founding Lead at Google Brain)
Price: FREE
Skills and Knowledge Imparted:
1. Logistic Regression
2. Artificial Neural Network
3. Machine Learning (ML) Algorithms
4. Machine Learning
Difficulty Level: all levels
Duration and Total Lectures: 55 hours
Average User Rating: 4.9 (148,272 ratings)
Review:
If you were wondering what data science is, where it touches boundaries of machine learning and how we, humans, as well as the machines we have invented, make use of these fields today, this is the perfect course for you. It transitions very neatly from simple to complex ideas, illustrated by examples.
Course # 3 : Machine Learning Certification
The coursework in this socialization was put together by leading researchers at the University of Washington. As such, it will introduce you to the exciting field of machine learning and take you to advanced theories and concepts via case studies. By the end of the data science course, you will have gained experience in major areas of machine learning, such as prediction, clustering, classification and information retrieval. The instructors have made it easy for students to grasp the how and why behind analyzing large, complex datasets, creating systems that adapt and improve with time, and build intelligent applications that can predict using data.
Offered by: University of Washington via Coursera
Instructed by: Emily Fox and Carlos Guestrin (Amazon Professors of Machine Learning)
Price: FREE
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:
The theory and practice dealt with in this course wholly prepares students for what to expect in the gruelling, yet interesting, field of data science. The case studies are especially helpful to understand complex things in a short span of time.
Course #4: What is Data Science?
This Data Science course is exactly what it sounds like…what IS data science? Who are its pioneers? Why do we need it today? Where is it used? What would the modern world look like without it? What are its pros and cons? Which industries are making the most out of it and which aren’t, if any? All these queries (and a whole lot more) is covered in this amazing, thorough course.
If you want to strengthen your basic understanding of the field, this is ideal course for you. It’s taught by some of the best data scientists themselves. So, you can expect to have things made easier for you, for they surely know what it must have been like to get lost while learning about data science.
Offered by: IBM via Coursera
Instructed by: Alex Aklson (Ph.D., Data Scientist) and Polong Lin (Data Scientist)
Price: FREE
Skills and Knowledge Imparted:
1. Basic understanding of data science
2. Importance of data science on today’s world
3. Applications of data science
Difficulty Level: Beginner
Duration and Total Lectures: 10 hours
Average User Rating: 4.7 (40,014 ratings)
Review:
It’s straightforward courses like this that develop skills in learners which help in immensely in practical stages. The course instructors are very friendly. It’s a highly recommended course, especially for those new to the field of data science, but also for those who want to brush up on their basic understanding of the field.
Course # 5 : Databases and SQL for Data Science
This intriguing Data Science course focuses on SQL that is, its foundational core concepts, their applications in the real world, so on and so forth. With the help of this course, you will be able to start performing with SQL language in no time (albeit after some practice, though). This course emphasizes on both theory and practice, side by side. You will be dealing with real databases, real data science tools, and real-world datasets in this course. Similarly, through a series of labs, you will practice building and running SQL queries. And you will get to learn how to access databases from Jupyter notebooks using Python and SQL. Luckily, no prior knowledge of said topics is required.
Offered by: IBM via Coursera
Instructed by: Hima Vasudevan (Data Scientist) and Rav Ahuja (AI and Data Science Program Director)
Price: FREE
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: 14 hours
Average User Rating: 4.7 (11,982 ratings)
Review:
The best thing about this data science course is that you can walk in on a lecture without a clue about what SQL, Python, etc. even are. The instructors break every concept down to its essential core in a manner that is easy for students of all ages and learning styles to grasp.
Course # 6 : The Data Science Course 2020: Complete Data Science Bootcamp
Data science is a vast, ever-growing field. It is not only vast in itself, but also in terms of the other fields and sub-fields in touches. This bootcamp covers such concepts. It takes you from the root of the simple mathematical and statistical formulae to the advanced levels. You will particularly enjoy this course as it is different from those of its kinds; it even talks about misconceptions regarding the field of data science and associated practices, tools, techniques, etc. So, get ready to have your mind blown away by all the fun, interesting new things you’ll get to learn from this course.
Offered by: Udemy
Instructed by: 365 Careers, 365 Careers Team
Price: $12.99
Skills and Knowledge Imparted:
1. Introduction to data science
2. Correlating between different disciplines within data science
3. Popular data science techniques and tools
4. Careers in data science
5. Misconceptions about the field
Difficulty Level: All levels
Duration and Total Lectures: 29 hours, 471 lectures
Average User Rating: 4.5 (77,056 ratings)
Review:
The content of this course encompasses major as well as minor details you need to know about data science. A couple of these lectures and notes are probably more helpful than large volumes about the same subjects.
Course # 7 : Data Science A-Z™: Real-Life Data Science Exercises Included
After you have taken this Data Science course, your perception of the world you live in, reality around you and in fact, the very essence of what makes up ‘reality’ are sure to be altered. It’s one of those pieces of information that make you view everything around you in a new light. It takes something as small as data. And from there, this course will teach you how to build larger volumes of data from that initial piece; how to analyze it; build entire working models on it; work with datasets, so on and so forth. In other words, the whole world is reduced to data. And this module shows you the how, why and what behind that.
Offered by: Udemy
Instructed by: Kirill Eremenko, SuperDataScience Team
Price: $12.99
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: 4.6 (27,788 ratings)
Review:
It’s a great course that teaches you the ins and outs of what the entire field of data science is built on: data. Very detailed examples are included that bring the concepts home in no time.
Course # 8 : Tableau 2020 A-Z: Hands-On Tableau Training for Data Science
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. 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:
It’s a fun, engaging and precise course on Data Science. The concepts are neither too general nor too broad. Highly practical and vigorous. Students can easily practice learnt techniques on their own once the course is completed.
Course # 9 : Statistics for Data Science and Business Analysis
Statistics is a driving force in a lot, if not all, industries today. Data science happens to be one of those industries. To flourish in such industries, being equipped with statistical knowledge is a plus and sought-after skills, especially by business analysts. With its inclusion of Excel, this data science course will prepare you for the field with skills to understand complicated statistical analysis directly applicable to real-life situations. This module, unlike those of its kind, offers you everything in one place; highly structured. From it, you will gain crucial critical thinking skills needed to understand, operate and manage the myriad of programming languages running pretty much everything 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:
This course beautifully entertwines data science with statistics and business. It offers much sought-after industry skills, especially for business analysts, statistician and the like. The topics covered are detailed and comprehensive.
Course # 10 : Complete Machine Learning and Data Science: Zero to Mastery
If you thought it’s time-consuming and monotonous, having to look for work after required skills in data science, think again. For this course will prove to you that data science, too, can be a lot of fun. It prepares you for the work atmosphere one can expect to land in right away after become a data scientist. Interesting examples, case studies and more of the like keep your interest and focus streamlined during the course. The instructors are best at what they do. Everything you need to know about data science as well as what comes after, is in this course. So, learn the best, from the best.
Offered by: Udemy
Instructed by: Andrei Neagoie, Daniel Bourke
Price: $18.99
Skills and Knowledge Imparted:
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:
This data science course’s instructors have performed an excellent job of informing the content in an understandable way. They have placed learning as it occurs in the workplace using an imaginary company as an example. This course is a true testament to its name.
Course # 11 : 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.