Top 10 Data Science Courses Online
Blog: GestiSoft
Data Science : A field you can rely upon ever to get a reputed job.
When you find out data science is a golden mine of opportunities, the following question will take birth in your mind.
“From where I can learn data science?”
You don’t have to follow the old- school method to learn data science. There are some worthy online training courses available on the web. Today, I am sharing top ten data science online training courses in this post.
Top 10 Data Science Online Training Courses
#1. Machine Learning Course
The machine learning and data science are closely related. So, it will be the biggest strength for a data engineer to achieve knowledge in Machine Learning.
You need to know linear algebra and calculus to take this course. Without achieving knowledge in the previously mentioned fields, you will not get full benefits of this course.
Video lessons are available to simplify the learning process. The course is taught using Octave and has a period of 11 weeks.
#2. Data Science in Action
This course is based on a book, Process Mining written by Wil van der Aals. This course is not much difficult even for a business professional who doesn’t have good knowledge in programming.
The course illustrates many real- life events to explain logics and algorithms. After completing this course, you will be an expert in Process Mining Projects.
Having the duration of 13 weeks, the course describes the complete topic to you.
#3. Analytics Edge
This course teaches you the practicality of analytics. If you are a person who wants to learn reality over theories, this course will suit you the best.
The workload of this course is a bit high. But the problems and lessons are arranged in such a manner to give you complete information.
What you learn through this 11 weeks longer course is an applied understanding of mathematical optimization.
#4. Harvard Data Science Course
If you ask me what the high level and best data science course is, I won’t hesitate a moment to answer you. Harvard data science course is the best bet for you.
This course is advanced. So, it will be good to take this after passing out #1. Machine Learning Course. You will learn everything about data science in this course like data wrangling, cleaning, and sampling.
Duration of this course is four months. So you can guess the difficulty level. Please don’t take this if you are a complete newbie.
#5. Mining Massive Data Sets
This course teaches you to use techniques and algorithms to deal with big data such as Locality Sensitive Hashing, MapReduce, Data Streams and Page Rank.
MMDS (Mining Massive Data Sets) also guide you to use these techniques in our real life like advertising, web search, etc. Data modeling is the main subject you will be learning from here.
The course has a duration of 7 weeks.
#6. Foundations of Data Analysis
You learn five things from this course. Simple modeling of linear, logistic and exponential growth, Basic R programming, the data structure and how to examine it, how to visualize data and descriptive statistics.
At the end of this course, you will surely be capable of solving your problems using the techniques you will be taught in this course.
The course will take 13 weeks to finish the syllabus.
#7. Data Science Course by Johns Hopkinson
This is a bunch of data science courses. You can see some useful courses on their homepage itself. This is a paid course. But for all the courses, you won’t be charged more.
R Programming, data collection and cleaning, exploratory data analysis, reproducible research, statistical inference, regression models, practical machine learning are some of the significant courses from the list.
Upon the passing out of batches, you will be enrolled.
#8. Introduction to Data Science
Even if the name is the introduction, the difficulty level of this course is intermediate. Before taking this course, be sure to have some basic knowledge of Python programming and databases.
The syllabus has been divided into five parts ranging from the introduction to special topics. The duration of this course is three months.
#9. Introduction to Computational Thinking and Data Science
With ample knowledge of computer science and Python programming, you can win this course like a pro.
A brief introduction to plotting, random walks, Monte Carlo simulations, stochastic programs, probability and statistics, optimization problems, modeling data, and clustering are the main topics in this course.
Course length is nine weeks.
#10. Data Analyst Nano Degree Uday
This is the longest course among all the ten I have shared here.
Quoting the official website itself, you will learn to
- Wrangle, extract, transform, and load data from various databases, formats, and data sources
- Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets
- Classify unlabeled data or predict into the future with applied statistics and machine learning algorithms
- Communicate data analysis and findings through effective data visualizations
The duration is 12 months.
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