Python for Statistical Analysis

Join SuperDataScience

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.


  1. 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.


  2. 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.


  3. 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.

Featured
Standard Subscription - Monthly

$35

/ Month
14-day free trial ā€¢ then $35 USD monthly

Accelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youā€™ll Unlock: - šŸŽ“ 40+ Courses (over 200 hours!) - šŸš€ 17 Specialized Career Paths - šŸ“ Quizzes and Practice Activities - šŸ“œ Certificates for Courses & Career Paths - šŸ† Prizes for Learning - šŸ§Ŗ Weekly Live Labs (plus recordings!) - šŸŽÆ Monthly Missions to practice even more - šŸ’¼ Monthly Career Booster Events - šŸ’¬ Full access to the SDS Community - āš” Monthly Speed Networking - šŸ„ Monthly Resume Clinics - šŸ‘„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā€” Sanaz Afshar, California

Pro Subscription - Monthly

$157

/ Month

Accelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youā€™ll Unlock: - šŸŽ“ 40+ Courses (over 200 hours!) - šŸš€ 17 Specialized Career Paths - šŸ“ Quizzes and Practice Activities - šŸ“œ Certificates for Courses & Career Paths - šŸ† Prizes for Learning - šŸ§Ŗ Weekly Live Labs (plus recordings!) - šŸŽÆ Monthly Missions to practice even more - šŸ’¼ Monthly Career Booster Events - šŸ’¬ Full access to the SDS Community - āš” Monthly Speed Networking - šŸ„ Monthly Resume Clinics - šŸ‘„ Group Mentorship Program Plus, Pro Plan perks just for you: - šŸŒŸ A Personalized Career Path built around your goals - šŸ§‘ā€šŸ« 1-on-1 Mentoring Sessions every month - āœļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā€” Sanaz Afshar, California

Course content

7 sectionsā€¢60 lessonsā€¢8 hr 37 min