Big Data Analysis with Python

Course Description

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

Overview

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.

The course begins with an introduction to data manipulation in Python using Pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated into memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The course further covers Spark and its interaction with other tools.

By the end of this course, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs.

• Learning Objectives

• 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

Scope

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

Target Audience

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.

Course Outline

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

Acumen Envision the Transformation Specialists

Specialist Technical IT Training, Sticky Effective Disruptive, We Deliver First Class Results.

Data Science Training for Data Scientists, Data Analysts, Software Developers or Anyone working in a role or wanting to work with large data sets.

Our Data Science courses cover Data Visualization, Python, Jupyter, R, AI, Machine Learning, Data Wrangling, Excel VBA, Access VBA, Scala, Spark, Power BI, Tableau and much more.

Courses run for Data People by Data Specialists.

What’s Included:

• The latest Data Science course content

• Trainers who enjoy Data Science, delivering courses and talking about real word examples.

• Detailed course work book to take away

• Our Extras Pack for post course learning

• Certificate of completion

• Unlimited Refreshments

Why our content sticks

• We take time to know our participants with pre course evaluation

• We don’t run large class sizes

• Our courses are delivered by subject matter experts who make the content engaging

• We like Hands on, so you can absorb the theory with practice

• We provide a 1-hour WebEx follow up to see how you are getting on to give any additional advice

Want something different?

• Can I have a course on my own. Yes, you can we can provide a 1:1 course for you either on-site or in centre.

• 1-1 or Group Training for your business, no problem.

We can customise content, combine courses or develop a program around your team or specific need.

• Need us to look at something specific, in a black hole with Excel / Access or need to migrate large amounts of data then please contact us to discuss in more detail. Our training are experts in their own field and spend 40% of their time providing on / off site consultancy.

What happens after I book?

• You will get a booking confirmation once you have placed your order.

• If you are booking a course over a weekend don’t worry one of our team will contact you via email on Monday to double check the details with you and check to see if you would like to book an optional lunch.

• We will send you the link to down load all of the tools and software needed for your course.

• 7 Days before your course date we send a reminder

• The morning of the course the course lecturer will greet you in reception if 1:1 course or in the training room if a group course.

• If you need help with anything don’t panic simply call or email us and we will assist.

Our list of Data Science Courses

• Applied Data Science with Python & Jupyter

• Applied Data Visualization with R and ggplot2

• Artificial Intelligence with Big Data

• Big Data Analysing with Python

• Big Data Processing with Apache Spark

• Data Science for Marketing Analytics

• Data Science Projects with Python

• Data Virtualisation with Python

• Data Wrangling with Python

• Excel – Introduction

• Excel – Advanced

• Excel for Data Analysis with Power Pivot

• Excel – Forecasting Data

• Excel – Sparkline and Mapping Data

• Excel – Visualising Data with Charts

• Excel - Dashboards

• Excel VBA Programming

• Access VBA

• VBA Programming

• Microsoft Power BI Data Analysis Professional

• Microsoft Power BI Data Analysis Practitioner

• Scala and Spark with Big Data Analytics

• Python Programming Introduction

• Python Advanced Programming

• Python API Development

• Python Microservices Development

• Machine Learning with Python

• Applied Unsupervised Learning with Python Libraries

• SQL for Data Analytics

• SQL Query Fundamentals

• Tableau Introduction

• Tableau Advanced

Refund Policy

We will provide a refund for all cancellations received 14 days prior to the event.

We accept name changes up to 3 days before the event at no additional cost , if you are unable to attend.

If for any reason we have to cancel the event we will offer you the option to move onto the next available date, attend an alternative course or we will provide a full refund.

Please note that we are not liable for any travel or accommodation costs relating to your course booking.

We always try to help and be as fair as possible, so please contact us at your earliest convenience if you are unable to attend a course you have booked, so we can look at the options available for you.