The Complete Python Certification Bootcamp Bundle

What's Included

Data Mining with Python Course

Mammoth Interactive
9 Lessons (7h)
Lifetime

• Experience level required: All levels
• Access 9 lectures & 7 hours of content 24/7
• Length of time users can access this course: Lifetime

Course Curriculum

9 Lessons (7h)

• Your First Program
  Preview
• Course Trailer
  Course Trailer: Data Mining with Python 0:29
• Python Language Basics for Beginners
• Learning Python in Pycharm
• Source Files - Learning Python with Mammoth Interactive
• Downloading and Installing Pycharm and Python
• Exploring Pycharm
• Declaring Variables in Python 13:17
• Using and Converting Variables 12:35
• Types of Collections in Python 12:47
• Collections Operations 8:42
• Control Flow: 'If' Statements 12:50
• 'While' Loops and 'For' Loops 10:44
• Functions 11:23
• Classes and Objects 15:40
• Introduction to Data Mining
• Introduction to Data Mining 9:30
• Project Files - Mammoth Interactive
• Data Wrangling: A Complete Overview
• Data Wrangling Demystified 63:56
• Project Files - Mammoth Interactive
• Data Mining Fundamentals
  • Cluster Analysis 20:08
  • Classification and Regression 34:30
  • Association and Correlation 13:10
  • Dimensionality Reduction 25:38
• Frameworks Explained: Taming Data with Spark
  • Apache Spark - An Overview Of The Framework 26:36
  • Spark Key Functions 20:26
  • Spark Machine Learning 7:32
  • EXAMPLES - Using The Machine Learning Pipeline 6:16
• EXAMPLES: Mining and Storing Data
  • Text Mining 15:05
  • Network Mining 10:11
  • Matrix 7:16
  • SQL 12:35
• NLP (Natural Language Processing)
  • NLP Data Cleaning 6:55
  • Count Vectorizer 7:58
  • NLP Example with Spam 9:59
  • Tweak Model with Spam Data 5:32
  • Pipeline with Spam Data 4:48
• Conclusion and Challenge
  • Conclusion and Challenge 4:40

Description

What is data mining? Data mining is getting useful actionable insights from data. Whoever owns data owns the future. But owning data is not good enough. You need to know how to draw insights from a dataset, look at statistics, and find patterns using a dataset. In this course, you'll grow your skills and become an indispensable data scientist.

• Access 9 lectures & 7 hours of content 24/7
• Use real-world examples of data mining & datasets
• Practice for real-world projects
• Clean data, filter noise, make data available for analysis
• Perform cluster analysis, classification, & regression, including logistic regression
• Use the K-NN classifier & SVM
• Detect outliers in univariate, multivariate & high dimensional spaces
• Learn how to use Apache Spark, the number one framework used for distributed processing

Specs

Important Details

• Length of time users can access this course: lifetime
• Access options: web and mobile streaming
• Certification of completion included
• Redemption deadline: redeem your code within 30 days of purchase
• Experience level required: all levels
• Have questions on how digital purchases work? Learn more here

Requirements

• Internet required

Course Ratings

4.4/5
All reviews are from verified purchasers collected after purchase.

Reviews

Radoljub Velickovic
Verified Buyer
Great training for those who are starting out and it's easy to follow. Teacher is clear, and the material is given in concise ways.

John Kelly
Verified Buyer
Fun product to learn the basics of python! Highly recommend if you want to build a solid foundation.

Kul P
Verified Buyer
Excellent python preparation for many aspects and subjects! Haven't found any better deals than this one for python. Just taking one of these classes is worth the cost of the bundle.

Richard Schrieder
Verified Buyer
Looking forward to taking all of these classes and having them as references for my python scripting adventures.

Cathe Boudreau
Verified Buyer
Great training for those who are starting out..and it's easy to follow. Teacher is clear, and the material is given in concise ways.

Peter La France
Verified Buyer
Ease of access and a trusted name. I have followed Popular Science publications for years and have enjoyed them. I am beginning a new career and the need to have a coding language on my resume was necessary. So I chose Python.