Learning Path: Python: Effective Data Analysis Using Python

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Use Python’s tools and libraries effectively for extracting data from the web and creating attractive and informative visualizations.Over the years, almost every organization has understood the importance of analyzing data. In fact, it would not be an overstatement to say that “No organization will be able to survive today’s cut-throat competition if it does not analyze data.”Data analysis as we know it is the process of taking the source data, refining it to get useful information, and then making useful predictions from it. In this Learning Path, we will learn how to analyze data using the powerful toolset provided by Python. Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.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 of data scientists for data analysis, visualization, and machine learning.We will have a general look at data analysis and then discuss the web scraping tools and techniques in detail. We will show a rich collection of recipes that will come in handy when you are scraping a website using Python, addressing your usual and unusual problems while scraping websites by diving deep into the capabilities of Python’s web scraping tools such as Selenium, BeautifulSoup, and urllib2.We will then discuss the visualization best practices. Effective visualization helps you get better insights from your data, and help you make better and more informed business decisions.
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After completing this Learning Path, you will be well-equipped to extract data even from dynamic and complex websites by using Python web scraping tools, and get a better understanding of the data visualization concepts tured data. He also...

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Scrape the Twitter stream to collect real-time data
Predictive methods that can forecast and predict future trends based on current data
Use the Selenium module and scrape with Selenium
Discover how to perform parsing with BeautifulSoup
Make 3D visualizations mainly using mplot3d

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Export
  • Web
  • Collecting
  • Algebra
  • Design
  • Data analysis
  • Installation
  • Database training
  • Database
  • Database Design

Course programme

Learning Python Data Analysis 24 lectures 06:00:02 Learning Python Data Analysis - The Course Overview This video provides an overview of the entire course. Getting started with Python The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
Getting Data using the Twitter API We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
Collecting and Storing Tweets We will explore how to collect and store twitter tweets.
  • Learn how to scrap tweets and meta-data
  • Explore how to store tweets in a database
Database Design We will talk about database design.
  • Look into data-base design in greater detail
  • look at what level of information one should gather from databases
Pandas and Databases We will explore Pandas and other databases.
  • Learn how to Read a table as a pandas DataFrame
  • Explore how to query a table using pandas
  • Write a pandas DataFrame as a table
Panda Series, Dataframes, and Columnar Operations We will explore the concepts of Panda series, data frames and columnar operations.
  • Introduce Panda series and dataframes
  • Explore columnar operations using the apply function
  • Work with missing values
Grouping Operations and Working with Date Columns We will take a look operations and how to exactly work with columns.
  • Explore grouping operations
  • Work with Date columns
Merging Operations and Exporting data to JSON/CSV We will explore how to merge various operations and learn how to export data to JSON/CSV.
  • Take a further look at combining operations
  • Learn how to export various data
Array Features, Bucketting Arrays and Histogram Functions We will take a look at what exactly arrays are, their different types, and histogram functions.
  • Introduce array features
  • Explore how Bucketting arrays digitize and histogram functions
Simple Aggregations See exactly what simple aggregations are.
  • Introduce aggregations
  • Explore more about simple aggregations
Linear Algebra We will explore the concept of linear algebra.
  • Visually explain linear algebra
  • Explore the various functions of linear algebra
Introducting PyQT and MatplotLib We will learn how to present stories via simple visualizations and representations.
  • Explore the functions of PyQT
  • Take a more in depth look at MatplotLib
Creating Charts We will learn the different types of graphical representations.
  • Passing custom colors in our pie charts
  • Creating a Bar graph widget
Simple XY Plots with Axis Scales We will learn how to create Simple XY plots and axis scales.
  • Generate a simple XY plot and all its elements
  • Create a legend with multiple sets of data
Introduction to the NTLK Package We will learn how to handle text data.
  • Look at what exactly the NTLK package consists of in greater detail
  • Start building our data application
Bag of Words We will find out exactly what do we mean by Bag of words.
  • Apply features to our all Tokens class
  • Create a main function
Classification of Words We will learn how to classify words.
  • Employ the steam switch tab widget
  • Insert data into our map
Stemming We will take a look at stemming of words.
  • Run our graphical user interface
  • Map numerous data points
Simple Sentiment Analysis We will use the simple sentiment analysis using scrapped tweets.
  • Explain the functions in the package
  • Call the items command
  • Populate our sentiment analysis
Grouping By Dimensions and Classification of Data Types We will learn how to group dimensions and also take a look at the different types of data that is generated.
  • Categorizing tweeters/users
  • Grouping users by Dimensionality
Trend Analysis and Deriving New Metrics We will take a look at New metrics and dimensions will be derived to get hidden insights.
  • Look at various aspects of trend analysis
  • Learn how to derive new metrics
Correlation Analysis We will take a look at the concept of co-relation analysis.
  • Talk about correlations and what exactly they are
  • Look at the algorithms that are employing correlation
Course Summary We will briefly go over what we covered in the course and also take a glimpse at what the future holds for us.
  • Recap the technologies learnt
  • Look at the future scope and potential of the application
Learning Python Data Analysis. 24 lectures 06:00:02 Learning Python Data Analysis - The Course Overview This video provides an overview of the entire course. Getting started with Python The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
Getting Data using the Twitter API We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
Collecting and Storing Tweets We will explore how to collect and store twitter tweets.
  • Learn how to scrap tweets and meta-data
  • Explore how to store tweets in a database
Database Design We will talk about database design.
  • Look into data-base design in greater detail
  • look at what level of information one should gather from databases
Pandas and Databases We will explore Pandas and other databases.
  • Learn how to Read a table as a pandas DataFrame
  • Explore how to query a table using pandas
  • Write a pandas DataFrame as a table
Panda Series, Dataframes, and Columnar Operations We will explore the concepts of Panda series, data frames and columnar operations.
  • Introduce Panda series and dataframes
  • Explore columnar operations using the apply function
  • Work with missing values
Grouping Operations and Working with Date Columns We will take a look operations and how to exactly work with columns.
  • Explore grouping operations
  • Work with Date columns
Merging Operations and Exporting data to JSON/CSV We will explore how to merge various operations and learn how to export data to JSON/CSV.
  • Take a further look at combining operations
  • Learn how to export various data
Array Features, Bucketting Arrays and Histogram Functions We will take a look at what exactly arrays are, their different types, and histogram functions.
  • Introduce array features
  • Explore how Bucketting arrays digitize and histogram functions
Simple Aggregations See exactly what simple aggregations are.
  • Introduce aggregations
  • Explore more about simple aggregations
Linear Algebra We will explore the concept of linear algebra.
  • Visually explain linear algebra
  • Explore the various functions of linear algebra
Introducting PyQT and MatplotLib We will learn how to present stories via simple visualizations and representations.
  • Explore the functions of PyQT
  • Take a more in depth look at MatplotLib
Creating Charts We will learn the different types of graphical representations.
  • Passing custom colors in our pie charts
  • Creating a Bar graph widget
Simple XY Plots with Axis Scales We will learn how to create Simple XY plots and axis scales.
  • Generate a simple XY plot and all its elements
  • Create a legend with multiple sets of data
Introduction to the NTLK Package We will learn how to handle text data.
  • Look at what exactly the NTLK package consists of in greater detail
  • Start building our data application
Bag of Words We will find out exactly what do we mean by Bag of words.
  • Apply features to our all Tokens class
  • Create a main function
Classification of Words We will learn how to classify words.
  • Employ the steam switch tab widget
  • Insert data into our map
Stemming We will take a look at stemming of words.
  • Run our graphical user interface
  • Map numerous data points
Simple Sentiment Analysis We will use the simple sentiment analysis using scrapped tweets.
  • Explain the functions in the package
  • Call the items command
  • Populate our sentiment analysis
Grouping By Dimensions and Classification of Data Types We will learn how to group dimensions and also take a look at the different types of data that is generated.
  • Categorizing tweeters/users
  • Grouping users by Dimensionality
Trend Analysis and Deriving New Metrics We will take a look at New metrics and dimensions will be derived to get hidden insights.
  • Look at various aspects of trend analysis
  • Learn how to derive new metrics
Correlation Analysis We will take a look at the concept of co-relation analysis.
  • Talk about correlations and what exactly they are
  • Look at the algorithms that are employing correlation
Course Summary We will briefly go over what we covered in the course and also take a glimpse at what the future holds for us.
  • Recap the technologies learnt
  • Look at the future scope and potential of the application
Learning Python Data Analysis - The Course Overview This video provides an overview of the entire course. Learning Python Data Analysis - The Course Overview This video provides an overview of the entire course. Learning Python Data Analysis - The Course Overview This video provides an overview of the entire course. Learning Python Data Analysis - The Course Overview This video provides an overview of the entire course. This video provides an overview of the entire course. This video provides an overview of the entire course. Getting started with Python The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
Getting started with Python The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
Getting started with Python The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
Getting started with Python The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
The aim of this video is to introduce us to Python.
  • Cover the basic installation and setup for the course
Getting Data using the Twitter API We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
Getting Data using the Twitter API We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
Getting Data using the Twitter API We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
Getting Data using the Twitter API We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
We will learn how to collect and store the data.
  • Introduce the the Twitter API
  • Create a SQLAlchemy engine to connect
Collecting and Storing Tweets We will explore how to collect and store twitter tweets.
  • Learn how to scrap tweets and meta-data
  • Explore how to store tweets in a database
Collecting and Storing Tweets We will explore how to collect and store twitter tweets.
  • Learn how to scrap tweets and meta-data
  • Explore how to store tweets in a database
Collecting and Storing Tweets We will explore how to collect and store twitter tweets d how to exactly work with columns.
  • Explore grouping operations
  • Work with Date columns
Merging Operations and Exporting data to...

Additional information

Anyone opting for this course should be well-versed with the basics of Python

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Learning Path: Python: Effective Data Analysis Using Python

£ 40 + VAT

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