Friday, March 20, 2020

The Data Science Course 2019: Complete Data Science Bootcamp

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning

Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.

There are various data science courses which offer certifications valued in the industry. Moreover, they also provide you with skills and techniques to tackle advanced problems based on real-world scenarios. The best place to get a review of these would be online.

To start learning you do not need to have any skills or experience. Instructor starts course from the very basics and then moves to more difficult lectures. Anyone can start learning this course. Only what is required: Anaconda installation. Anaconda Distribution is the world's most popular Python data science platform. But no worries instructor will show you step by step how to do this!

Anaconda installation

The Data Science Course 2019 Complete Data Science Bootcamp review:

This was a very good course. What stood out to me was both the the huge amount of information in the course and the number of exercises in the form of quizzes and homework assignments. This allows a person to take the theory from lectures and apply it to further cement their knowledge. I would highly recommend this course as it also includes a section on statistics which is highly beneficial and relevant to data science.

It's super easy to learn because course made with animated clips like this example:

Data Science video course
watch now

Overall , it was a good experience
Topics are well explained. As i have no software/programming background. Response for questions asked in QA section is almost quick.

Data science need a good grasp of the following topics:
  • Understanding of the data science and its analytical behavior:
  • Mathematics
  • Statistics
  • Python
  • Applying advanced statistical techniques in Python
  • Data Visualization
  • Machine Learning
  • Deep Learning

I believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place. The theory part in the earlier sections are extremely good and give a fair refresher of college level probability and statistics.

Good news! You can learn data science course 2 months free of charge if you will register on Skillshare. This course belong to another instructor - Frank Kane. Frank holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

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