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Start Your Free Trial Today >>Programming In Python For Data Analytics And Data Science. Learn Statistical Analysis, Data Mining And Visualization
Learn Python Programming by doing!
There are lots of Python courses and lectures out there. However, Python has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
What you will learn:
Learn the core principles of programming
Learn how to create variables
How to visualize data in Seaborn
How to create histograms, KDE plots, violin plots and style your charts to perfection
Learn about integer, float, logical, string and other types in Python
Learn how to create a while() loop and a for() loop in Python
And much more....
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
The course is structured the following way:
Module 1: Core Programming Principles
Module 2: Fundamentals Of Python
Module 3: Matrices
Module 4: Data Frames
Module 5: Advanced Visualization
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
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 that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.
I can't wait to see you in class!
Sincerely,
Kirill Eremenko
$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
Project Brief: Basketball Trends
08:17
Matrices
03:32
Building Your First Matrix
16:50
Dictionaries in Python
14:20
Matrix Operations
08:34
Your First Visualization
11:04
Expanded Visualization
09:38
Creating Your First Function
11:09
Advanced Function Design
11:15
Basketball Insights
11:17
Section Recap
04:08
HOMEWORK: Basketball Free Throws
08:43
Quiz: Matrices
Importing Data Into Python
08:26
Exploring Your Dataset
10:51
Renaming Columns of a DataFrame
02:56
Subsetting DataFrames in Pandas
16:32
Basic Operations With a DataFrame
09:50
Filtering a DataFrame
18:52
Using .at() and .iat() (Advanced Tutorial)
09:02
Introduction to Seaborn
10:48
Visualizing With Seaborn: Part 1
10:05
Keyword Arguments in Python (Advanced Tutorial)
10:42
Section Recap
04:31
HOMEWORK: World Trends
06:58
Quiz: Data Frames
What is a Category Data Type?
10:29
Working With JointPlots
07:38
Histograms
07:52
Stacked Histograms in Python
18:30
Creating a KDE Plot
08:00
Working With Subplots()
14:06
Violinplots vs Boxplots
08:55
Creating a Facet Grid
12:29
Coordinates and Diagonals
07:55
EXTRA: Building Dashboards in Python
16:31
EXTRA: Styling Tips
15:46
EXTRA: Finishing Touches
14:48
Section Recap
05:38
HOMEWORK: Movie Domestic % Gross
07:57
Quiz: Advanced Visualization
Homework Solution Section 2: Law Of Large Numbers
08:57
Homework Solution Section 3: Financial Statement Analysis (Part 1)
10:31
Homework Solution Section 3: Financial Statement Analysis (Part 2)
13:40
Homework Solution Section 4: Basketball Free Throws
17:23
Homework Solution Section 5: World Trends (Part 1)
15:45
Homework Solution Section 5: World Trends (Part 2)
14:35
Homework Solution Section 6: Movie Domestic % Gross (Part 1)
16:46
Homework Solution Section 6: Movie Domestic % Gross (Part 2)
08:19