Python Data Analytics Course

    Master data analytics with our comprehensive Python Data Analytics Course. Whether you're a beginner or an experienced professional, this instructor-led online course is designed to give you hands-on expertise in Python programming, data manipulation, and analysis.
    Get to grips with essential tools like NumPy, Pandas, Dataframes, and SQLite, and gain practical skills that will elevate your career.

By completing this Pythoncourse, you’ll learn:
  • Real-world Python data analysis techniques
  • How to manipulate and clean data with Python Pandas
  • Visualize and analyze large datasets using Python
  • Integrate Python with SQL for powerful data management

Why choose this course?
  • Hands-on Learning: Get practical Python experience through real-world examples and exercises.
  • Expert Python Instructors: Learn from industry Python professionals with proven expertise.
  • Career Advancement: Boost your resume with valuable Python data analytics skills, making you more competitive in the job market.
  • Flexible Scheduling: Choose a time that works for you, with our online, instructor-led Python sessions available worldwide.

This Python course also includes:
  • Python Programming Certificate of Completion,
  • practical Python exercises and
  • a personalized one-hour Python revision session after completion.

Who should attend the Python Data Analytics Course?
  • Most attendees are in-work Data Professional.
  • Private individuals are very welcome.

How do we present the Python Data Analytics Course?
  • Our Style: Hands-on, Practical
  • Location: Online, Instructor-led
  • Download: anaconda.com
  • Duration: 1 day, negotiate your date and time
  • Times: arrange a time for your time zone
Book NOW with PCWorkshops
  • Don’t miss out!
  • Transform your career and take the first step towards becoming a skilled Python data analyst.
  • Sign up now via Eventbrite and secure your spot in this in-demand course!



Python Data Analytics Course Details


Session 1: Connecting to a database:

Using SQLite3 with Python:

  • Embed SQL commands within Python to retrieve and display data, e.g. products or user information, or get large datasets from a database to analayse. Can you imagine any app that does not use a database? User information, user log-ins, user images, activity history, all are in a database. Product information, purchasing information, etc.
  • Learn to work with a database within Python:
  • Connecting your Python code to a SQL Database.
  • Create, Amend and Drop Tables.
  • Insert, Update and delete records.
  • Select queries.
  • Traverse and display query results.
  • Using parameters in queries.
  • Get metadata about tables and columns.

Session 2: Python Data Structures

Python Data Structures:

  • Tuples in Python.
  • Sets in Python.
  • Dictionaries in Python. Nested Dictionary.
  • Json Files in Python.

  • Session 3: Python Numpy

    Numpy:

  • The Python NumPy Module:
  • Working with Python arrays, create data using arrays.
  • Array manipulation in Python.
  • Using Python Built-in String functions on arrays.
  • Python Math, arithmetic and statistical functions.

  • Session 4: Python Pandas Dataframes and data importing

    Python Pandas Dataframes

  • Python Numpy Data Series. Python Date/ Time Functionality. Time series.
  • Creating Python Pandas Dataframes, Indexing.
  • Dict to Dataframe, Dataframe to Dict.
  • Using Csv files in Python. Converting Csv files to and from Python Dataframes.
  • Using Excel and Python Dataframes Convert Excel from and to Python Dataframes.

  • Session 5: Data Cleaning and preparation in Python

    Data Cleaning and preparation in Python.

  • Finding, replacing and filtering missing data in Python Dataframes.
  • Remove Duplicates.
  • Replacing values.
  • Renaming Axis Indexes.

  • Session 6: Python Pandas Data Wrangling

    Use Python Dataframes for Data Wrangling:

  • Python Pandas Dataframe Indexing, Re-indexing,
  • Python Pandas Dataframe Reordering,
  • Python Pandas Dataframe Sorting. Getting Stastitics from data in a Python Pandas Dataframe.
  • Transforming Python Pandas Dataframe data using
  • Dataframe Joins, Merging, Concatenation, Overlap, Append, zip functions

  • Week 6: Python Pandas Data Analysis

    Use Python Dataframes for Data Analysis:

  • Sorting data in Python Dataframes.
  • Use Analysing and finding data using filter, slicing and dataframe queries in Python Dataframes.
  • Finding data by Iteration.
  • Python Dataframes for statistical functions, aggregate functions.
  • Find Unique values in Python Dataframes.
  • Using String objects and Regex in Python Dataframes.

      • With all this technical knowledge at your fingertips, our Python Data Course will empower you to excel in your role as a Python data analyst. By mastering the skills taught in the Python Data Course, you’ll boost your career prospects and open the door to higher salary opportunities. Don’t miss the chance to transform your career with the Python Data Course!
    Included with the Python Course
    • PCWorkshops Course Certificate on completion
    • Python Course Notes
    • Python Code Examples
    • Practical Python Course exercises and Code Samples
    • After the course: 1-Hour personalised online revision session
    Book the Python Course
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