Search our courses
Training

This Python training course offers a short but intensive hands-on introduction to the use of Python and the most popular data analytics packages and how to apply this to pre-process, shape, model and visualize data.
This is a very hands on course where participants will spend the majority of their time importing data stored in various formats (csv, excel, json) stored in a variety of locations (files, web sites and databases).

 

Python for Data Analysis

Course Code

GTIT54

Duration

3 Days

Course Fee

POA

Accreditation

N/A

Target Audience

This course is suited for analysts, support staff, and managers.
It is also suitable for operational and technical support functions on finance institutions; developers, testers, production support, dev-ops.
In short, if you are spending 1 -2  hours each day working with spreadsheets, you need to attend this course.

 

Attendee Requirements

The following pre-requisites are desirable but not essential:

  • Experience in excel, working with simple excel formulae and MACROS, IF and VLOOKUP functions and Pivot tables would be desirable but not essential
  • Experience in relational databases and SQL
  • Experience in programming – either compiled languages such as Java, C or C# or interpreted language as JavaScript, Ruby or a shell scripting language.

Technical Requirements

A laptop for each participant with:

  •  Recent version of Anaconda Navigator installed.
  • The plotly python package installed.
  • Reliable web access

Ways to Attend this Course

Expand all

Course Description

This Python training course offers a short but intensive hands-on introduction to the use of Python and the most popular data analytics packages and how to apply this to pre-process, shape, model and visualize data.
This is a very hands on course where participants will spend the majority of their time importing data stored in various formats (csv, excel, json) stored in a variety of locations (files, web sites and databases).

 

Course Outline

DAY 1

Morning

Introduction to Anaconda Navigator
•    Cells & Cell Types, Checkpoints, Help
•    Magic commands
•    Downloading

Python for the Data Scientist
Basics
•    Maths expressions
•    Packages
•    Variables
•    Strings

Flow Control (if, if/else)
•    If
•    nested if
•    If-else
•    Doing nothing
•    Is a value in a set of values
•    Is a value in a range of values

Collections
•    Lists, Tuples, Sets, Dictionaries
•    Loops & Iteration –
     While, For, For loops in a Range, Unconditional Loops, For else loops
•    Comprehensions

Functions
•    User Defined Functions
•    Named parameters
•    Default Parameters

Afternoon

Introduction to Data Science
•    Shaping data

  • Intro to Pandas

  • Import data into a DataFrame

  • Rows, Columns, Indexes

•    Modelling Data

  • Intro to numpy

  • Vector arithmetic

Visualizing Data

  • Intro to Matplotlib

  • Figures, Axes, Plotting Data

Use Case – Calculating & Displaying Moving averages and standard deviations

Introduction to Pandas
•    Rows & Columns, adding, removing
•    Filtering Data
•    Sorting Data & Sorting Indexes
•    Multi Indexes & Cross Sections


DAY 2

Morning
    Introduction to Data Visualization

  •     Anatomy of a Figure, axes, plots and subplots
  •     How to use matplotlib, seaborn, pandas and plotly

Time Series Analysis
•    Structure of a DateTimeIndex
•    Date ranges & Frequencies
•    Shifting Dates
•    Resampling Data - Up Sampling and Down Sampling
•    Rolling, Moving and Expanding windows
•    Aggregating by Time

Afternoon
Advanced Pandas
•    Merging Data
•    Joins
•    Grouping and Aggregating
•    Multi-part indexes
•    Cross Sections
•    Categorical Data
•    Pivot Tables
•    Formatting Data

Data Pre-processing
•    Missing Data
•    Data Transformation & Imputers
•    Cutting Data
•    Transforming Continuous Data to Categorical Data

 

DAY 3

Morning
Financial Calculations
•    Built in statistical Functions
•    Calculating Pay Offs
•    Normalized prices, log of returns, MACD
•    Correlation & Covariance
•    Measuring run Time Performance

Introduction to statsmodels
•    Statistical Distributions
•    OLS
•    Confidence intervals and p-values
•    Regression analysis

Afternoon
Scripting and Process Automation
•    The os package
•    The re package
•    Working with pdf documents

Scripting and Process Automation
•    Use python to create a powerpoint presentation
•    Using REST APIs

 

Learning Path

There are many Python training options you can consider. Here are some suggestions, though please don't hesitate to call us if you would like to discuss.

 

Ways to Attend

Currently this course is only available as a live online delviery.

Prior to covid-19 restrictions, we deliver this course either on or off-site in various regions around the world, and can customise your delivery to suit your exact business needs. Talk to us about how we can fine-tune a course to suit your team's current skillset and ultimate learning objectives.

Private Team Training is available for this course

We deliver this course either on or off-site in various regions around the world, and can customise your delivery to suit your exact business needs. Talk to us about how we can fine-tune a course to suit your team's current skillset and ultimate learning objectives.

Private Team Training | Contact us

Technical ICT learning & mentoring services

Private Team Training

Our instructors are specialist consultants with vast real world experience and expertise allowing them to design and deliver client-focused courses for your organisation.

Learn more about our Private Team Training

What Our Clients Say

“Given the breadth of the course, I think it was very well structured and organised, I got a lot
out of it.”     

 

JVM Tuning - Bespoke Course

Live Online - May 2020

 

“This was an excellent course and was lots of fun to attend. Instructor started with basic intro to
containerization, then explained Kubernetes and the different components (Container
engine, orchestrator, control plane) which all made sense because of the containerization
intro. The parts of the course layered on top of one another to give a good understanding of
Kubernetes.”

 

Kubernetes for App Developers - GTLFKAD

Live Online - Nov 2020

 

“Really enjoyed the course, it has been an eye opener on opportunities to steer how we approach the cloud from a IT Service Management perspective.”

 

Professional Cloud Service Manager - GTC13

Live Online May 2020

 

''Fantastic course, looking forward to applying this in my work and home life. Excellent, practical approach, very motivational. I think the entire company should attend training.''

 

Being Agile in Business - GTBAB

Sept 2019

“The instructor was great! I didn't expect such a good level of teaching with what some may
consider a dry subject. This was simply great!”  

 

Linux LPIC-1 - GTU8

Live Online - August 2020

 

"Intelligence is the ability to avoid doing work, yet
getting the work done"

Linus Torvalds, creator of Linux and GIT

Technical ICT learning & mentoring services

About GuruTeam

GuruTeam is a high-level ICT Learning, Mentoring and Consultancy services company. We specialise in delivering instructor-led on and off-site training in Blockchain, Linux, Cloud, Big Data, DevOps, Kubernetes, Agile, Software & Web Development technologies. View our Testimonials

Download our eBrochure
Our Accreditation Partners
  •  
  •  
  •  

 

Upcoming Courses

Kubernetes Administration

31 May - 4 June 2021

Live Online

This Kubernetes Administration Certification training course is suitable for anyone who wants to learn the skills necessary to build and administer a Kubernetes cluster

Learn More

LPIC-1 PART 1

22 - 25 June 2021 

Live Online

This Linux certification training course teaches in-depth skills in the basics of Linux Administration.
 

Learn More

DEVOPS FOUNDATION TRAINING

14 - 15 June 2021

Live Online

The purpose of the certification and its associated course is to impart, test and validate knowledge of DevOps basic vocabulary, principles and practices.

Learn More

 INTRO TO PYTHON 3

May 18 – 20 2021

Live Online        

A comprehensive introduction to the core syntax and functions provided by Python, including coverage of its object-oriented and functional programming features.

Learn More

Newsletter

Stay up to date, receive updates on scheduled dates, new courses, offers, and events.

Subscribe to our Newsletter