Samuel Hinton
Welcome to Python for Statistical Analysis!
This course is designed to position you for success by diving into the real–world of statistics and data science.
Learn through real–world examples: Instead of sitting through hours of theoretical content and struggling to connect it to real–world problems, we’ll focus entirely upon applied statistics. Taking theory and immediately applying it through Python onto common problems to give you the knowledge and skills you need to excel.
Presentation–focused outcomes: Crunching the numbers is easy, and quickly becoming the domain of computers and not people. The skills people have are interpreting and visualising outcomes and so we focus heavily on this, integrating visual output and graphical exploration in our workflows. Plus, extra bonus content on great ways to spice up visuals for reports, articles and presentations, so that you can stand out from the crowd.
Modern tools and workflows: This isn’t school, where we want to spend hours grinding through problems by hand for reinforcement learning. No, we’ll solve our problems using state–of–the–art techniques and code libraries, utilising features from the very latest software releases to make us as productive and efficient as possible. Don’t reinvent the wheel when the industry has moved to rockets.
Instructor Details
Courses : 2
Specification: Python for Statistical Analysis
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27 reviews for Python for Statistical Analysis
Add a review
| Price | $14.99 |
|---|---|
| Provider | |
| Duration | 8.5 hours |
| Year | 2021 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$14.99
Tony Pottakkal –
Initial impression is very good. Visual content easy to follow, audio easy to understand. Instructors voice, rate of speech, and energy are positive and appropriate for course
Gabriel Kotev –
Simply excellent!
Pattara Tepnu –
Very good to explain Statistic with Python
Rande Dager –
Because I like the way it s offering more powerful ways of getting to the parts of python that we will be needing, in ways that I would not have known how to do or that even existed. I am referring to the recommendation of anaconda.
Casey Stevens –
This course covers basics of Python coding, but also goes into details about the packages Pandas and NumPy which are two important packages in my line of work for data mining. Great fit!
Mohammad Nazeem Bin Mustafah Kamal –
I love the succinct yet comprehensive coverage of the course’s introduction. Am confident that it will carry on throughout the course.
Jose Mauricio Mani –
Really good. In the end quite long
Daniel Schperberg –
Great teaching style! Many computer science instructors drone on and on and on in a monotone voice, droning… honestly the best sleeping pill I ever took This instructor engages the user with wit, charm, and a healthy overdose of sarcasm. Make jokes. They make trivial things interesting and makes the student pay attention to the important details. I very much look forward to the more complicated parts of the series.
Neftali Vargas –
Though that was a lot I already knew about coding in Python, there was a lot of information that supplemented my knowledge. I appreciated the information provided in this course, especially how to produce a lot of the visualization.
Evgenii Dorovskikh –
Loved so far. Thought, I was a bit confused when some terminology from probability theory, which I’m unaware of, were used.
Savahnna Cunningham –
Intelligent, well orchestrated, well and great delivery of the information.
Sachin Mishra –
So far so good, impressed with the info provided at Anaconda level, Pip and pip on steroids, lol :p
Amey Yadav –
I started off as a no brainer in statistical analysis, but I got a very good understanding of the statistical concepts and python packages by the end. An excellent course for any data enthusiast.
Sandeep Singh –
Instructor’s pace is good & he is pretty clear so far
Marat Movlamov –
Average course for statistics using Python. Most concepts are not fully covered. You need to add more conceptual content in order to have full understanding the stats.
Tridib Pal –
I learnt Python Pandas separately and have a fair bit if knowledge about statistical tools .I was looking for a way to connect the two without immediately jumping into ML tools . This course seems tailor made for my needs
M vd C –
excellent, fast and deep!
Peter Solymosi –
Thats an amasing course with really deep mathematical background. The codes in Python are well expained and really usefull to solve statistical problems. This cours is highly recommended for starters in Python.
Dilara Balkan –
I’m literally four lessons in but so far super great no issues at all.
Rishav Chatterjee –
good
Carlos Andr s Campo Gonz lez –
This is just what I needed and what I was looking for, great!
Ren Tigerstedt –
The beginning was good but soon I noticed that this is not a beginner course. I am out.
Daniel Collier –
The course start’s with the right foot. Amazing the capacity and experience of the instructor. As far as I have been, I’m enjoying a lot the course.
Jack Davis –
This is a great course!
Gaurav Dixit –
more detail in programming part is required
Emre Israel Akanak –
Really good course. I highly recommend it
Thanhnd49 –
This course brought a lot of fun example about statistics problem solve by python. However, you should learn python and statistics course first before apply.