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Python training Fast Track III Data Science. This Python training course aims to equip learners with advanced skills required to use Python for data analysis and visualization. This fast-paced intermediate to advanced Python intensive course is designed for those who already have a good understanding and working knowldege of Python.

 

Python training Fast Track III Data Science

Price €295.00

Course Code

GTPYF3

Duration

1 Day

Course Fee

€295.00

Accreditation

N/A

Target Audience

This Python for Data Science training course is designed for Data Analysts and Python Developers. This fast-paced intermediate to advanced Python intensive course is designed for those who already have a good understanding and working knowldege of Python.

This course is particularly designed for those interested in applying Python to data analysis tasks. If you're already familiar with Python and have a strong interest in data science, this course will help you deepen your knowledge and skills.

Attendee Requirements

  • Workng Python Knowledge and posses the ability to swiftly learn and adapt new skills: Familiarity with core Python concepts such as variables, loops, conditionals, functions, and basic data structures (lists, dictionaries).
  • Basic understanding of object-oriented programming (OOP).
  • Familiarity with Python Libraries:Understanding of Python libraries and how to install and import them.
  • Basic Data Analysis Concepts: General understanding of data analysis concepts like data manipulation, data cleaning, and statistical analysis can be useful. The course will teach these using Python, but prior exposure to the concepts may help.
  • Experience with Data Structures:Understanding the basic structure of arrays, data frames, and series will be beneficial since the course focuses on using NumPy and Pandas for these types of data structures.
  • Mathematics and Statistics Basics: A fundamental understanding of statistics, such as basic measures of central tendency (mean, median), standard deviation, and correlation, would be helpful, especially for modules on Exploratory Data Analysis (EDA) and data visualization.
  • Interest in Data Science: While the course is open to anyone looking to start with Python for data science, having a genuine interest in working with data, data analysis, and data visualization is key to fully benefiting from the course.

 


Tuesday 13 May - Tuesday 13 May (1 days) 09.30 - 17.00
 Live Online GMT +01:00
Monday 16 June - Monday 16 June (1 days) 09.30 - 17.00
 Live Online GMT +01:00

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Course Description

Python training Fast Track III Data Science. This Python training course aims to equip learners with advanced skills required to use Python for data analysis and visualization. This fast-paced intermediate to advanced Python intensive course is designed for those who already have a good understanding and working knowldege of Python.

 

Course Outline

This Python training course aims to efficiently equip learners with the fundamental and advanced skills required to use Python for data analysis and visualization.

 

Module 1:  Introduction to Python for Data Science

•    Overview of Python in Data Science
•    Setting up the Python environment (Anaconda, Jupyter Notebook, VS Code)

 

Module 2:  Working with Data in Python

•    Introduction to NumPy for numerical computing

  • Creating and manipulating arrays
  • Array operations and broadcasting

•    Introduction to Pandas for data manipulation

  • DataFrames and Series
  • Reading and writing data (CSV, Excel, JSON, SQL)
  • Data selection, filtering, and transformation

 

Module 3: Data Cleaning and Preprocessing

•    Handling missing data
•    Data imputation techniques
•    Detecting and removing duplicates
•    String operations and text cleaning

 

Module 4: Data Visualization

•    Introduction to Matplotlib

  • Creating basic plots (line, bar, scatter)
  • Customizing plots (labels, colors, legends)

•    Introduction to Seaborn

  • Statistical data visualization (histograms, box plots, heatmaps)

•    Interactive visualization with Plotly


Module 5: Exploratory Data Analysis (EDA)

•    Understanding distributions and summary statistics
•    Identifying patterns and trends in data
•    Correlation and covariance
•    Detecting and handling outliers
•    Using Pandas Profiling and Sweetviz for automated EDA

 

Learning Path

This is part 1 of our 'Hit the ground running with Python series'.

Python Fast Track course sequence as follows:

  1. Python Fast Track I Comprehensive
  2. Python Fast Track II Expert
  3. Python Fast Track III for Data Science (this course)

 

 

Other Python training courses we offer include:

Ways to Attend
  • Join one of our instructor-led live online courses. See our Schedule for details.
  • We can also organise private team training, and design a programme to suit your exact business requirements. 
  • Training can be delivered both onsite at a location of your choice, or live online for you, anywhere in the world. Why not contact us, we would be delighted to discuss your training needs with you.
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