Learning Python Data Analysis

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Online

£ 10 + VAT

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Analyze and understand your data with the power and simplicity of Python.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.About the AuthorBen spent3 years working as a software engineer and team leader doing graphics processing, desktop application development, and scientific facility simulation using a mixture of C++ and python. Which, sparking a passion for software development and developmental programming has lead him to exploring state of the art projects in Natural Language Processing, Facial Detection/Recognition, and Machine Learning.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About 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

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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
  • Collecting
  • Design
  • Data analysis
  • Installation
  • Database training
  • Database
  • Database Design

Course programme

Getting Started with Python 6 lectures 01:16:57 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
Getting Started with Python 6 lectures 01:16:57 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
The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. The Course Overview This video provides an overview of the entire course. 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.
  • 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
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
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
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
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
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
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
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
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
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
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
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
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
Numerical Computing with Pandas 3 lectures 53:16 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
Numerical Computing with Pandas. 3 lectures 53:16 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
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
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
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
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
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
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
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
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
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
We will take a look operations and how to exactly work with columns.
  • Explore grouping operations
  • Work 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
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 Generate a simple XY plot and all its elements
  • Create a legend with multiple sets of data
    • Simple XY Plots with Axis Scales ...

    Additional information

    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!

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    Learning Python Data Analysis

    £ 10 + VAT

    The best Business Strategy courses

    See all

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