Product Image

Programming with Python for Data Science

This course is created in association with Coding Dojo, which targets people who have initial level experience of Python programming.


Learning Style





24 Hours

Course Duration

Course Info

Download PDF


See Sample

About Individual Course:
  • Individual course plan gives you access to this course
/ Each
When you subscribe, you get:
Learn Subscription plan gives you access to this course and over 875 other popular courses
Now Only $29.00 Regular Price $44.00
Now Only $29.00 Regular Price $44.00
/ Month
  • Buy 1-5 Enrollments And Save -397% ($144.00 monthly.)
  • Buy 6-9 Enrollments And Save -397% ($144.00 monthly.)
  • Buy 10-19 Enrollments And Save -397% ($144.00 monthly.)
  • Buy 20-above Enrollments And Save -397% ($144.00 monthly.)

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240

This course is created in association with Coding Dojo, which targets people who have initial level experience of Python programming.

Course Information

About this course:

This course is created in association with Coding Dojo, which targets people who have initial level experience of Python programming. The course shows understudies how to begin taking a gander at information with the data scientist lens by applying effective, popular mining models so as to uncover helpful insight, utilizing Python, one of the well-known Data Scientists language. Subjects incorporate feature importance and selection, data visualization, clustering, classification, dimensionality reduction, and more! The entirety of the informational collections utilized in this course are included live-information or motivated by domains of the real-world that can advantage from machine learning.

Course Objective:

  • The most effective method to represent raw data in a way helpful for determining important data
  • Knowledge about machine learning and the kinds of issues it is adept to solving
  • How to utilize different techniques of data visualization.
  • The most effective method to apply administered learning calculations to your information, for example, support vector and random forest classifier
  • The most effective method to utilize principal component analysis and isomap brilliantly to improve your information
  • Concepts like model selection, cross-validation, and pipelining
  • The big picture of Data Science and Analysis, Machine Learning, and Dive Deeper
  • Exploring Data by Basic Plots, Visualizations, Lab – Visualizations, Higher Dimensionality, and Dive Deeper
  • Transforming Data with Principal Component Analysis (PCA), Lab – PCA, Isomap, Lab – Isomap, Data Cleansing, and Dive Deeper
  • Data Modeling with Clustering, Lab – Clustering, K-Nearest Neighbors, Supervised Learning, Neighbors, Regression, Lab - K-Nearest, Lab – Regression, and Dive Deeper
  • Evaluating Data with Confusion, Cross-Validation, Power Tuning, and Dive Deeper


Data Scientist


No prerequisite required for this course

Career & Salary Insight


More Information

More Information
Brand Microsoft
Subjects Big Data
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Beginner
Course Duration 24 Hours
Language English

Acclaim Badge


Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Expert:


Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

Learn Subscription Includes:


Online Self-Paced Courses

Take self-paced online courses at your convenience and own pace, with unlimited access to courses in various emerging technologies.

900+ Self-Paced Courses

E-Books, Case Studies, And White Papers

As part of informal learning, our platform will recommend E-books, white papers, case studies, articles, and videos. This is AI curated content closely aligned with your learning objectives.

E-Books, Case Studies, And White Papers

Assessment Tests

Gauge your knowledge before you start your learning path to see exactly where your skill sets align.

Assessment Tests

Learning Dashboard & Analytics

Access all your enrolled, completed, course statistics, and community discussions from one centralized and intuitive learning dashboard with built in analytics, course tracking, time spent, and more.


QuickStart Discussions

Engage with other learners where you can directly chat, ask questions, and socialize with other learners experts and instructors on a course subject.

Community Access Community Access

Career Paths

Start a learning pathway towards understanding and mastering your career. With QuickStart career paths, you can fully understanding and being the best in your field.

Learning Paths Learning Paths

Informal Learning

Access to AI curated content from various content publishers which can help in self-directed learning.

Informal Learning Informal Learning

Sign up for your FREE TRIAL, And Explore Hundreds Of Courses.

For Individuals
Start 30-Day Free Trial For Businesses
Explore Plans
click here