Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 10 Minute(s)
Language
English
Taught by
Eduonix Learning Solutions, Eduonix-Tech .
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
2 views
Course Overview
The must have foundational guide for all data science and machine learning developers
Master the Statistics & mathematics that powers Data Science!!
“Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician.” - Josh Wills
Data science is all about leveraging data to draw meaningful insights. And undoubtedly, converting raw and quantitative data into an organized form requires a lot of knowledge & hard work. When it comes to data science, mathematics & statistics are the 2 important pillars around which the majority of the concepts revolve.
Though expecting everyone to become the Aryabhatta can be wrong, but one can definitely dedicate some time to learn all the important concepts of Mathematics & Statistics to master Data Science, one of the most trending fields of this digital economy.
Considering the high demand for data scientists & all-time high skill gaps, we have curated this online course entirely dedicated to Statistics & Mathematics behind Data Science. All the covered concepts will aid you in identifying patterns from the data and help you to create algorithms.
Why you should learn Mathematics & Statistics for Data Science?
Maths & stats are the building blocks of data science
You will be able to create various algorithms
You can easily interpret data effectively
Helps in identifying & solving complex real-world problems
Model Selection based on their inherent limitations
Why you should take this course?
This course on statistics & mathematics is a perfect way of learning & understanding the important concepts involved in data science. You will learn all the maths & stats behind data science through its handcrafted sections in the most interactive way possible.
It covers everything from Vocabulary & Descriptive statistics to NLP along with all the important tools. In the end, a project is also included on data visualization & optimization to ensure complete learning.
This course includes:
Working with Google Colab
Vocabulary & descriptive statistics
Distribution types- Uniform, binomial, Poisson, normal & fitting
Inferential statistics with visualizations
Course Content
- 9 section(s)
- 73 lecture(s)
- Section 1 Google Colab for Data Science
- Section 2 Vocabulary & Descriptive Statistics
- Section 3 Distribution Types
- Section 4 Inferential Statistics with Visualizations
- Section 5 Confidence Intervals & Hypothesis Testing
- Section 6 Regression & Predictions
- Section 7 Classification Modeling
- Section 8 Natural Language Processing
- Section 9 Project
What You’ll Learn
- Learn the foundational concepts of statistics and mathematics using Python
- Learn how data science and machine learning work under the hood
- Learn by implementing the abstract concepts
Skills covered in this course
Reviews
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DDerek Smith
I really enjoyed this course, and it built upon the foundation of Machine Learning I already had, reinforcing the foundation and adding atop it. I consider myself at intermediate skill level and found a lot of helpful tips and tricks completely new to me. Great to see an instructor that is easy to follow through a course and still has some new ideas from other instructors. Grade A+ course. Excellent will be looking to see if you have any other courses.
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PPer Anton Rønning
The mathematical foundation behind the models is lacking. Luckily these are to be found i several independent YouTube videos. For those of us who like to know what we are talking about, it is not sufficient just to see a demonstration of some Python libraries.
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JJohn E. Smit
Heldere uitleg. Snel en to the point
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JJavon Griffin
Great match for me so far!
