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

Learning Python Data Analysis

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

  • Video Duration:06 Hours
  • Cost: $ 124.99

Course Details

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 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.

Who all can attend

This video appeals to Python developers who want to be capable of performing core data analysis tasks with Python's libraries and tools, including data retrieval, cleaning, manipulation, visualization and storage. Those who want to handle large sets of structured and unstructured data, and discovering and delivering insight with various forms of analysis will find this course spot-on!

What you will learn from this course

  • Advanced and recommend software engineering development practices.
  • How to scrape the twitter stream to collect real time data
  • Smart storing of data using advanced abstractions and Object-Oriented programming
  • Easy and practical data manipulation techniques for dealing with large volumes of data
  • Natural Language Processing tools, special designed for working with sentences and other forms of textual data
  • Predictive methods that can forecast and predict future trends based on current data
  • Data analytics techniques to tease out unseen data relationships
  • Dashboard application development to help share and monitor your progress/analysis

Course Content

  1. Getting Started with Python
    • The Course Overview
    • Getting started with Python
    • Getting Data using the Twitter API
    • Collecting and Storing Tweets
    • Database Design
    • Pandas and Databases

  2. Numerical Computing with Pandas
    • Panda Series, Dataframes, and Columnar Operations
    • Grouping Operations and Working with Date Columns
    • Merging Operations and Exporting data to JSON/CSV

  3. Scientific Computing with NumPy/SciPy
    • Array Features, Bucketting Arrays and Histogram Functions
    • Simple Aggregations
    • Linear Algebra

  4. Presenting stories via simple visualizations
    • Introducting PyQT and MatplotLib
    • Creating Charts
    • Simple XY Plots with Axis Scales

  5. Using the NLTK Package
    • Introduction to the NTLK Package
    • Bag of Words
    • Classification of Words
    • Stemming
    • Simple Sentiment Analysis

  6. Getting insights from tweets
    • Grouping By Dimensions and Classification of Data Types
    • Trend Analysis and Deriving New Metrics
    • Correlation Analysis
    • Course Summary

Contact Us

Instructor-led online training is also available for the same course.

For more details, write to us at :

Call(+91) 8130666206/209

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