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Data Analysis in Python - Beginner Course

Use Python to efficient run data analysis

Following on from our Python Basics for Data Analysis course, Data Analysis in Python will build on your foundational knowledge of Python and pandas. You will learn how to manipulate data, create custom functions, plot with Matlab and display visualisations.

Understanding how to use Python for Data Analysis, empowers you to be much more efficient and opens up the possibility of using a wide array of freely available tools. Read our full courses outline below. 

 

Data Analysis in Python - Beginner Course

4.72
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We are currently developing these courses. Please contact us to register your interest.
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day

Remote

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Upcoming Courses:
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Thu 13-May-21
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Brisbane
We are currently developing these courses. Please contact us to register your interest.
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Date
Course
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Thu 13-May-21
Thu 13 May
Data Analysis in Python
Sydney
Status: Confirmed
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Tue 22-Jun-21
Tue 22 Jun
Data Analysis in Python
Sydney
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Parramatta
We are currently developing these courses. Please contact us to register your interest.
Melbourne
We are currently developing these courses. Please contact us to register your interest.
Canberra
We are currently developing these courses. Please contact us to register your interest.
Adelaide
We are currently developing these courses. Please contact us to register your interest.
Perth
We are currently developing these courses. Please contact us to register your interest.
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Frequently Asked Questions

Meet your Trainer

instructor tamara

Tamara Shatar holds a PhD in Agricultural Data Science. She has extensive experience, including many years working as a research scientist focused on data analysis, modelling using machine learning, simulation and other techniques. While working in both academia and at the CSIRO, part of her role included teaching a variety of data analysis skills. She is consistently well reviewed by her students. 

"Great trainer, structure, material and manual. I have completed programming courses before but this one just made more sense! I'm sure it was the trainer. Looking forward to the Intermediate course when it is available." -Using R Beginner Sydney

Is Python compatible with Microsoft?

Python can be used within a number of Microsoft products. In Power BI, reusable Python scripts can be used to manipulate data and create visualisations. In Azure, machine learning models can be written in Python and trained and deployed within the Azure Machine Learning Workspace.

What is Remote Training?

Remote training at Nexacu, means our team of experienced trainers will deliver your training virtually. With remote learning students can access our usual classroom training courses via video conferencing, ask questions, participate in discussion and share their screen with the trainer if they need help at any point in the course. Students have the same level of participation and access to the trainer as they would in classroom training sessions. 

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
L10, 333 Adelaide Street, Brisbane QLD 4000

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 37 Pitt Street, Sydney NSW 2000

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 90 Phillip Street, Parramatta NSW 2150

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 466 Little Lonsdale St, Melbourne VIC 3000

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Ethos House, Level 1, 28 Ainslie Place, Canberra ACT 2601

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 97 Pirie Street, Adelaide SA 5000

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analysis in Python Beginner Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 4, 220 St Georges Tce, Perth WA 6000

*Limited in-class seats due to COVID-19.
microsoft_gold

Python Course Outlines

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Course Rating
Python Training Courses

4.72 5 Python Training Courses
4.72 out of 5
26910 Student Reviews

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What do I need to know to attend?

Students should have attended our Python Basics course or have a foundational knowledge of Python and pandas.

Data Analysis in Python Beginner Learning Outcomes

Upon completion of this course you will be able to:
  • use the extensive data manipulation capabilities of pandas DataFrames
  • customise the display of the output in Jupyter Notebooks
  • use the plotting capabilities of Matplotlib to plot distributions and bar charts
  • use the data visualisation library, Seaborn, and
  • fit a basic model using scikit-learn.

Data Analysis in Python Beginner Course Content

  • Introduction
  • Data Analysis in Python

 

  • User-Defined Functions in Python
  • Function basics
  • Parameters
  • Positional vs keyword arguments
  • Defining a function
  • Indentation
  • User-Defined Functions in Python (cont'd)
  • Scope
  • *args and **kwargs
  • Unpacking operators
  • Lambda expressions
  • Conditional expressions
  • List comprehensions

 

  • Modify the DataFrame Display
  • pandas options
  • Working with pandas styles
  • Applying a style that is not dependent on values
  • Formatting values
  • String formats
  • Applying a style that is dependent on values
  • Built-in conditional formatting

 

  • Export Notebook as
  • Export to PDF or HTML
  • Create slides
  • Copy vs View
  • Setting with copy warning
  • Working with Missing Values
  • Missing values
  • inf and -inf
  • Removing missing values
  • Replacing missing values

 

  • Importing Data
  • Importing into a pandas DataFrame

 

  • Manipulating Data
  • Summarise a dataset
  • Report and display multiple summary statistics
  • Ordering data
  • Manipulating Data (cont'd)
  • Working with dates
  • Add columns with assign()
  • Working with strings
  • Reordering and dropping columns
  • Manipulating Data (cont'd)
  • Selecting rows based on values
  • Grouping and summarising data
  • Replacing values
  • Concatenate data
  • Bin continuous variables into categories

 

  • Working with Relational Data
  • Joining data from two DataFrames

 

  • Visualising Distributions
  • Visual representation of distributions with Matplotlib and Seaborn
  • Histograms
  • Boxplots
  • Bar and column charts

 

  • Multivariate Analysis
  • Scatterplot matrix
  • Bar and column charts

 

  • Basic Modelling
  • Create a linear model with scikit-learn

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What is Remote Training?

Valued by Individuals

4.72 / 5
Over 26910 Reviews
Good session. Keen to learn more as I already knew some stuff. -MS Teams Brisbane
Karin - MS Teams, .
Very informative Would be good to have a booklet to review what was learnt in the course Steven to follow up on Power BI booklet for Melina Berthaux -MS Teams Brisbane
Melina - MS Teams, .
Good course, the afternoon was more relevant for me. The morning was more of a referesher -MS Teams Brisbane
Colin - MS Teams, .
happy with outcome. -MS Teams Brisbane
Wayne - MS Teams, .
Course was presented at a good pace and kept us interested. Steven was a good trainer and kept the group included and ensured we all kept up. -MS Teams Brisbane
Tammy - MS Teams, .
Presenter was clear and concise and knowledgeable -MS Teams Brisbane
Kevin - MS Teams, .
Good training with a knowledgeable trainer. -MS Teams Brisbane
Emma - MS Teams, .
Another great session, thanks to Jason for taking us through more functions of Power BI. I feel much more equipped to use the program for my work now. -Power BI Intermediate Brisbane
Bek - Power BI Intermediate, .
Good refresher -Excel Intermediate Brisbane
Shani - Excel Intermediate, .
Great class - I picked up some really good tricks and methods. -Excel Intermediate Brisbane
Melinda - Excel Intermediate, .
learnt a lot from Stuart, looking forward to the advance course -Excel Intermediate Brisbane
Andrea - Excel Intermediate, .
Great course, learned heaps! Good pace. Easy to follow online. -Power BI Intermediate Brisbane
Ashleigh - Power BI Intermediate, .
Found that the Intermediate course was great as a refresher but I did learn some great tips. -Excel Intermediate Brisbane
Suzanne - Excel Intermediate, .
Great building on the beginner course and some amazing things possible. Jason as always is excellent!!! Friendly, responsive to questions. Good resources to link into as well. Thanks very much -Power BI Intermediate Brisbane
Clea - Power BI Intermediate, .
This course was very good for me I learned a lot in the class today -Excel Beginner Sydney
Debra - Excel Beginner, .
I really enjoyed learning from Michael and will definately use what I have been taught. An excellent and approachable way to learn Excel. Thank you! -Excel Beginner Sydney
Marcia - Excel Beginner, .
Michael was very attentive and helpful. He kept pace and time for the course but was always happy to assist anyone needing help. The course itself was a great refresher and I am looking forward to returning for an Intermediate Excel course to further my skills. -Excel Beginner Sydney
George - Excel Beginner, .
Michael was very helpful and made it fun. -Excel Beginner Sydney
Melissa - Excel Beginner, .
I found this course informative and easy to understand -Excel Intermediate Melbourne
James - Excel Intermediate, .
Great course, thanks -Excel Intermediate Melbourne
Jake - Excel Intermediate, .
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