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- 87% Complete Data Science Training with Python for Data Analysis

Complete Data Science Training with Python for Data Analysis

$11.99Track price

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8.8/10 (Our Score)
Product is rated as #80 in category Data Science

Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & More

THIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS: 

It’s A Full 12–Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep Learning In Python! 

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

First of all, this course a complete guide to practical data science using Python…

That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python–based data science.  

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!

THIS IS MY PROMISE TO YOU:

COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE!

But, first things first, My name is MINERVA SINGH and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

Instructor Details

Hello. I am a PhD graduate from Cambridge University where I specialized in Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveler

Specification: Complete Data Science Training with Python for Data Analysis

Duration

13 hours

Year

2019

Level

All

Certificate

Yes

Quizzes

Yes

20 reviews for Complete Data Science Training with Python for Data Analysis

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  1. Mehrnaz

    I do like the description but the voice is very sharp and bothers me!

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  2. Divyanshu Bhushan

    Good Course with good descriptions. A less theoretical concepts

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  3. Hia Sumaiya

    Best course materials I have ever seen! I have struggled to understand data analysis using python, and I almost gave up. This course explains concepts to me in the most entertaining and easy to understand way possible. Thank you!

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  4. Shetu khan

    Awesome course! As I have listened to many of them recently this one is perfect. Content is relevant, short enough with no dragging and really helpful. Thanks, Minerva for inspiration!

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  5. Israt Jahan

    This is a well structured, well instructed course. Very suitable for beginners. As a person who had prior programming experience, I was happy to be able to dive into studying data science with python for data analysis, without having to go through any boring or unnecessary introductions.

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  6. Muraj Mugdho

    The material is well presented in easy way to understand. It was really great, almost felt too easy. I really feel like I learned a lot about data analysis from this course! THANK YOU!

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  7. Tebo Lesley

    Outstanding course. Nice examples and thorough notebooks. Thank you!

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  8. Onyeka Nkiru Anizor

    I think the content is in line with my curren pursuit, but will confirm in the course of the study

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  9. Mir Shujat nazir

    Was not as expected. Content of the course is more theoretical, it should be related to coding and instead of keeping written codes , Codes should be written during the video picturized. I have to take this course again by someone like how will explain the Programming not written code theory.

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  10. akruti poshatwar

    The course is good. But the tutor’s breathing noise which is coming throughout the course is kind of annoying to listen to.

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  11. Kashmira Chawan

    Instructor is very well explaining right from the beginning. All the concepts are clearly explained. Now I am ready to work on dataset effectively, Thank you.

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  12. Siddhi Prabhu

    Since I am interested in Data analytics field this course has helped me a lot to get Data Analytics knowledge

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  13. Sehej Kaw

    The course is on practical approach to data science, which is good.

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  14. Jonathan Hauser

    So far it seems to be an excellent match.

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  15. Ramesh Jadhav

    Perfect match for me. explained in a very lucid way. Therefore, very easy to follow and grasp. Rich addition to my sphere of knowledge.

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  16. Disha Rajpal

    Some of the concepts would be more clear , as being at beginner level it is hard to understand everything .

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  17. Sarala Mutayala

    The first part of the introduction boost the confidence in who are beginners to this program.

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  18. SR Reddi

    It has been a superb learning experience going through the lectures of this course. it is very valuable course which contains latest information on the subject. It has immense opportunities for practical application.

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  19. Tamara Kl r

    Bisher scheint der Kurs etwas unstrukturiert und schwer zum zuh ren

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  20. Haiim Kohen

    This really is the Complete data science training you ever need.

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    Complete Data Science Training with Python for Data Analysis
    Complete Data Science Training with Python for Data Analysis

    $11.99

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