Learning Python Data Analysis
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VIDEO TUTORIAL Learning Python Data Analysis

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Analyze and understand your data with the power and simplicity of Python.

About This Learning Python Data Analysis Video course

  • Learn Data Analysis using modern processing techniques with Numpy, SciPy, and Pandas
  • Apply Natural Language Algorithms other Machine Learning Algorithms to provide unique and interesting insights
  • Present Insights quickly and cleanly through the use of a Dashboard Application

Learning Python Data Analysis In Detail

Python features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice for data scientists for data analysis, visualization, and machine learning.

This video training aims to teach Python developers how to perform data analysis with the language by taking advantage of the core data science libraries in the Python ecosystem. The learning objective for viewers is to understand how to locate, manipulate, and analyse data with Python, with the ability to analyse large and small sets of data using libraries such as Numpy, pandas, IPython and SciPy.
This is a two part series. The first series is focused on getting and manipulation sizeable amounts of data using modern techniques. The second series is focused on advanced analysis of the data to include modern machine learning techniques.

What will you learn in this course?

Course plan
Chapter 1
Getting Started with Python
Chapter 2
Numerical Computing with Pandas
Chapter 3
Scientific Computing with NumPy/SciPy
Chapter 4
Presenting stories via simple visualizations
Chapter 5
Using the NLTK Package
Chapter 6
Getting insights from tweets

Detailed course plan

Chapter 1 : Getting Started with Python
Lesson 1The Course Overview
Lesson 2Getting started with Python
Lesson 3Getting Data using the Twitter API
Lesson 4Collecting and Storing Tweets
Lesson 5Database Design
Lesson 6Pandas and Databases
Chapter 2 : Numerical Computing with Pandas
Lesson 1Panda Series, Dataframes, and Columnar Operations
Lesson 2Grouping Operations and Working with Date Columns
Lesson 3Merging Operations and Exporting data to JSON/CSV
Chapter 3 : Scientific Computing with NumPy/SciPy
Lesson 1Array Features, Bucketting Arrays and Histogram Functions
Lesson 2Simple Aggregations
Lesson 3Linear Algebra
Chapter 4 : Presenting stories via simple visualizations
Lesson 1Introducting PyQT and MatplotLib
Lesson 2Creating Charts
Lesson 3Simple XY Plots with Axis Scales
Chapter 5 : Using the NLTK Package
Lesson 1Introduction to the NTLK Package
Lesson 2Bag of Words
Lesson 3Classification of Words
Lesson 4Stemming
Lesson 5Simple Sentiment Analysis
Chapter 6 : Getting insights from tweets
Lesson 1Grouping By Dimensions and Classification of Data Types
Lesson 2Trend Analysis and Deriving New Metrics
Lesson 3Correlation Analysis
Lesson 4Course Summary

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