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Big Data Analysis with Python – Live Instructor Led Course

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Includes: 2 Days Live Instructor Led Training, Detailed Course Materials,  Live Projects & Certification

Duration: 2 Days – (9.30am – 4.30pm each day)

Global Access: Yes

Enrolment

Special Rate £ 425
Standard Rate £ 795

Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this course, you’ll learn effective techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems.

By the end of the program, you will be able to accomplish the following:

• Use Python to read and transform data into different formats

• Generate basic statistics and metrics using data on the disk

• Work with computing tasks distributed over a cluster

• Convert data from various sources into storage or querying formats

• Prepare data for statistical analysis, visualization, and machine learning

• Present data in the form of effective visuals

Live Hands on Sessions with Exercises.

This course is designed for Python developers, data analysts, and data scientists. This course is not for beginners.

Big Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help in understanding various concepts explained in this course.

The Big Data Analysis with Python course includes:

  • 2 Days Live Instructor Led Training
  • Detailed Course Materials
  • Multiple Live Hands on Exercises
  • Certification

Once you enrol for the course you will receive a bookiing confirmation.

You will be sent a digital verision of the course materials, along with the exercises files required for the hands on exercises.

You will then be able to review each module in the course and start to plan your study time.

You will then be sent a link 7 days prior to the course with instructions of how to access the class.

Full support is provided prior to the course to make sure you are ready.

Course Content

Lesson 1: The Python Data Science Stack

• Python Libraries and Packages

• Using Pandas

• Data Type Conversion

• Aggregation and Grouping

• Exporting Data from Pandas

• Visualization with Pandas

Lesson 2: Statistical Visualizations

• Types of Graphs and When to Use Them

• Components of a Graph

• Which Tool Should Be Used?

• Types of Graphs

• Pandas DataFrames and Grouped Data

• Changing Plot Design: Modifying Graph Components

• Exporting Graphs

Lesson 3: Working with Big Data Frameworks

• Hadoop

• Spark

• Writing Parquet Files

• Handling Unstructured Data

Lesson 4: Diving Deeper with Spark

• Getting Started with Spark DataFrames

• Writing Output from Spark DataFrames

• Exploring Spark DataFrames

• Data Manipulation with Spark DataFrames

• Graphs in Spark

Lesson 5: Handling Missing Values and Correlation Analysis

• Setting up the Jupyter Notebook

• Missing Values

• Handling Missing Values in Spark DataFrames

• Correlation

Lesson 6: Exploratory Data Analysis

• Defining a Business Problem

• Translating a Business Problem into Measurable Metrics and Exploratory Data Analysis (EDA)

• Structured Approach to the Data Science Project Life Cycle

Lesson 7: Reproducibility in Big Data Analysis

• Reproducibility with Jupyter Notebooks

• Gathering Data in a Reproducible Way

• Code Practices and Standards

• Avoiding Repetition

Lesson 8: Creating a Full Analysis Report

• Reading Data in Spark from Different Data Sources

• SQL Operations on a Spark DataFrame

• Generating Statistical Measurements

Why Acumen Envision?

Super Creative

We don't believe in traditional & acceptable We do believe in Creative, Engaging & Sticky. People are not the same, the way they learn is not the same so a program has to engage all mindsets. We use a complex mix of engaging tools combined first class classroom delivery, and continuous measurement to ensure we produce true mindset and behavioural change.

Skilled Instructors

Without our highly skilled training team all of the pre-course consultancy and technology custmisation would just not work. The wealth of experience and real world scenarios that they bring to each classroom module enhances the discussion, engagement and overall delivery. So whether your people are attending a Sales, Leadership or Technlogy program they will receive top level classroom tuition as part of their overall Learning Program.

Global Reach

The world is ever changing and the way we work now has changed dramatically. Most of the audiences we train now have an element of remote people and in some cases remote means on the other side of the globe. We are very good and bringing those people together so your whole working family can be trained together, so regardless of the challenges you may face with your audience we will provide an intelligent solution so that remote and distance do not effect the effectiveness of your program.
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