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Data Manipulation in Python: Master Python, Numpy & Pandas

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course-highlight Course Highlights

Mastering Python alongside its powerful libraries, NumPy and Pandas, has become a gateway to success in today’s data-driven world. With organisations worldwide heavily relying on data for strategic decisions, this course, Data Manipulation in Python: Master Python, NumPy & Pandas, equips you with the skills to extract, clean, and analyse data effectively. Whether in finance, healthcare, technology, or marketing, proficiency in Python for data manipulation ensures you stay competitive in evolving job markets.

This course will guide you through key concepts like managing datasets with Pandas, performing advanced mathematical operations with NumPy, and exploring structured and unstructured data using Python. You’ll also delve into data visualisation and time series analysis, enabling you to uncover actionable insights. These modules provide you with the ability to tackle complex challenges in data science and analytics, boosting your employability across industries experiencing growing demand for data professionals.

By the end of this course, you’ll possess the tools to transform your career. Data manipulation with Python, combined with Pandas and NumPy, is an essential skill for aspiring data analysts, data scientists, and business intelligence professionals. With the global economy leaning increasingly towards data-centric strategies, this expertise can lead to better job prospects, higher salaries, and a more fulfilling career path.    

course-benefits Learning outcome

  • Understand Python’s role in data science and master its key functionalities.
  • Gain proficiency in Pandas for efficient data handling and analysis.
  • Utilize Numpy for numerical computations and array manipulation.
  • Work with time-series data to analyze trends and forecast outcomes.
  • Visualize data using Python to communicate findings effectively.

course-why Why should I take this course?

  • Build expertise in Python, the most in-demand programming language for data science.
  • Master Numpy and Pandas to handle complex data tasks with ease.
  • Open doors to high-paying roles in data analysis and business intelligence.
  • You will learn the researched and proven approach adopted by successful people to transform their careers.
  • Stay ahead in a data-driven job market with advanced analytics skills.

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Skill Up Recognised Certificate

Upon successful completion of the Digital Marketing Certification Course, you can request a Skill Up Recognised Certificate. This certification carries great significance and remains a testament to your skills for a lifetime. 

  1. PDF Certificate + PDF Transcript: £14.99
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CPD Quality Standards Accredited Certificate

The CPD Quality Standards Accredited Certificate of Achievement is available for application when you successfully finish the Digital Marketing Certificate Course. 

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course-requirement Requirements

  • Basic understanding of programming concepts.
  • Access to a computer with Python installed.
  • Willingness to learn and apply data analysis skills.

course-requirement Requirements

  • Basic understanding of programming concepts.
  • Access to a computer with Python installed.
  • Willingness to learn and apply data analysis skills.

Course Curriculum

  • play Welcome to the course!
    play 00:01:00
  • play Introduction to Python
    play 00:01:00
  • play Course Materials
    play
  • play Setting up Python
    play 00:02:00
  • play What is Jupyter?
    play 00:01:00
  • play Anaconda Installation: Windows, Mac & Ubuntu
    play 00:04:00
  • play How to implement Python in Jupyter?
    play 00:01:00
  • play Managing Directories in Jupyter Notebook
    play 00:03:00
  • play Input/Output
    play 00:02:00
  • play Working with different datatypes
    play 00:01:00
  • play Variables
    play 00:02:00
  • play Arithmetic Operators
    play 00:02:00
  • play Comparison Operators
    play 00:01:00
  • play Logical Operators
    play 00:03:00
  • play Conditional statements
    play 00:02:00
  • play Loops
    play 00:04:00
  • play Sequences: Lists
    play 00:03:00
  • play Sequences: Dictionaries
    play 00:03:00
  • play Sequences: Tuples
    play 00:01:00
  • play Functions: Built-in Functions
    play 00:01:00
  • play Functions: User-defined Functions
    play 00:04:00