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Start Your Free Trial Today >>Master applied Statistics with Python by solving real-world problems with state-of-the-art software and libraries
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, the extra 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.
The course is structured the following steps:
Exploring Data Analysis
Characterising
Probability
Hypothesis Testing
Conclusion
Why Choose This Course?
Expert Knowledge: Learn from industry leaders with extensive experience in Python, Data Science and Machine Learning.
Hands-On Learning: Engage with practical exercises and real-world case studies to apply your knowledge.
Flexibility: Whether you are starting from scratch or looking to update your skills, this course is structured to cater to your learning pace and style.
Community and Support: Join a community of like-minded learners and professionals, with access to expert support throughout your learning journey.
Moreover, the course is packed with practical exercises, so not only will you learn the theory, but you will also get lots of hands-on practice building your own models.
$35
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
$157
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program Plus, Pro Plan perks just for you: - š A Personalized Career Path built around your goals - š§āš« 1-on-1 Mentoring Sessions every month - āļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
Course content
Loading Data
07:00
Loading Data - Practical Example
14:43
Dataset Preparation - Practical Example
15:45
Dealing with Outliers - Practical Example
14:01
1D Distribution Overview
01:07
1D Histograms - Practical Example
15:58
1D Bee Swarm - Practical Example
06:44
1D Box and Violin - Practical Example
09:59
1D Empirical CDF and Pandas Describe - Practical Example
08:08
Higher Dimensional Distributions Overview
01:22
ND Scatter Matrix - Practical Example
09:50
ND Correlation - Practical Example
05:20
2D Histograms, Contours and KDE - Practical Example
11:21
ND Scatter Probability - Practical Example
12:13
Exploratory Data Analysis Summary
02:57
Probability Refresher
05:17
Introduction to Probability Distributions
16:28
Probability Distributions - Practical Example
10:14
Probability Functions and Empirical Distributions
06:52
Empirical Distributions - Practical Example
25:45
Introduction to Sampling and the Central Limit Theorem
09:58
Sampling Distributions - Practical Example
17:42
Extra Writeup: More Resources on Sampling Distributions
Central Limit Theorem - Practical Example
10:39
Summary
03:15
Introduction to Hypothesis Testing
02:17
Motivation Loaded Die - Practical Example
08:24
Basic Tests
13:11
Basic Tests Example - Asteroid Impacts
20:17
Introduction to Proportion Testing
02:44
Proportion Testing Example - Election Rigging
12:02
Pearsons Chi2 Test - Practical Example
09:08
Comparing Distributions - Kolmogorow-Smirnow and Anderson-Darling Tests
12:42
Extra Writeup: All the Ways to do A/B testing!
Summary
02:30