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Python for Data Analytics

4.6 out of 5 rating Last updated 13/12/2024   English

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Duration

3 Days

18 CPD hours

Overview

This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions.
Outcome: After attending this course, delegates will:
Be able to write effective Python code
Know how to access their data from a variety of sources using Python
Know how to identify and fix data quality using Python
Know how to manipulate data to create analysis ready data
Know how to analyze and visualize data to drive data driven decisioning across your organization

Description

Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit.

From business questions to data analytics, and beyond
  • For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able:
  • to describe and understand the general analytics process.
  • to describe and understand the different types of analytics can be used to derive data driven solutions to business
  • to apply that knowledge to their business context
Basic Python Programming Conventions
  • This section will cover the basics of writing R programs. Topics covered will include:
  • What is Python
  • Using Anaconda
  • Writing Python programs
  • Expressions and objects
  • Functions and arguments
  • Basic Python programming conventions
Data Structures in Python
  • This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include:
  • Vectors
  • Arrays and matrices
  • Factors
  • Lists
  • Data frames
  • Loading .csv files into Python
Connecting to External Data
  • This section will look at loading data from other sources into Python. Topics covered will include:
  • Loading .csv files into a pandas data frame
  • Connecting to and loading data from a database into a panda data frame
Data Manipulation in Python
  • This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include:
  • Filtering data
  • Deriving new fields
  • Aggregating data
  • Joining data sources
  • Connecting to external data sources
Descriptive Analytics and Basic Reporting in Python
  • This section will explain how Python can be used to perform basic descriptive. Topics covered will include:
  • Summary statistics
  • Grouped summary statistics
  • Using descriptive analytics to assess data quality
  • Using descriptive analytics to created business report
  • Using descriptive analytics to conduct exploratory analysis
Statistical Analysis in Python
  • This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include:
  • Significance tests
  • Correlation
  • Linear regressions
  • Using statistical output to create better business decisions.
Data Visualisation in Python
  • This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include:
  • Creating different chart types such as bar charts, box plots, histograms and line plots
  • Formatting charts
Best Practices Hints and Tips
  • This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.
Additional course details:

Nexus Humans Python for Data Analytics training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the Python for Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Python for Data Analytics Course

Available Delivery Options for the Python for Data Analytics training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Python for Data Analytics training provide?

The 3 day. Python for Data Analytics training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

What is the correct audience for the Python for Data Analytics training?

This course is aimed at anyone who wants to harness the power of data analytics in their organization including:
Business Analysts, Data Analysts, Reporting and BI professionals
Analytics professionals and Data Scientists who would like to learn Python

Do you provide training for the Python for Data Analytics.

Yes we provide corporate training, dedicated training and closed classes for the Python for Data Analytics. This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Python for Data Analytics program.

The Python for Data Analytics training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

Why are Nexus Human the best provider for the Python for Data Analytics?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Python for Data Analytics training.

Yes, the discount code PENPAL5 is currently available for the Python for Data Analytics training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

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