Data Manipulation in Python: Master Python, Numpy & Pandas Overview

Welcome to “Data Manipulation in Python: Master Python, NumPy & Pandas.” This course is designed to equip you with essential skills for data manipulation and analysis using Python. You’ll start with a quick refresher on Python, then delve into the crucial libraries for data science, such as NumPy and Pandas. You’ll explore fundamental properties of NumPy, essential mathematics for data science, and how to work with Pandas DataFrames and Series. Additionally, the course covers data cleaning, data visualisation using Python, exploratory data analysis, and time series analysis. By the end of this course, you’ll be proficient in manipulating data and performing complex data analyses with Python.

Learning Outcomes

• Refresh your Python programming skills.
• Utilise essential Python libraries for data science.
• Understand and apply fundamental NumPy properties.
• Implement mathematical concepts essential for data science.
• Work efficiently with Pandas DataFrames and Series.
• Perform data cleaning to prepare datasets for analysis.
• Create data visualisations using Python libraries.
• Conduct exploratory data analysis (EDA) to uncover insights.
• Analyse and interpret time series data.
• Develop robust data manipulation workflows in Python.

Eligibility Requirements

To Enrol In “Data Manipulation In Python: Master Python, NumPy & Pandas,” You Should Have Basic Computer Skills And A Keen Interest In Data Science. Prior Experience With Python Is Helpful But Not Required, As An Optional Python Refresher Is Provided. Ensure You Have A Computer With Python Installed To Follow Along With The Exercises.

Entry Requirements

• Age Requirement: Applicants must be aged 16 or above, allowing both young learners and adults to engage in this educational pursuit.
• Academic Background: There are no specific educational prerequisites, opening the door to individuals from diverse academic histories.
• Language Proficiency: A good command of the English language is essential for comprehension and engagement with the course materials.
• Numeracy Skills: Basic numeracy skills are required for understanding nutritional data and dietary planning.

Why Choose Us

• Affordable, engaging & high-quality e-learning study materials;
• Tutorial videos/materials from the industry-leading experts;
• Study in a user-friendly, advanced online learning platform;
• Efficient exam systems for the assessment and instant result;
• The UK & internationally recognised accredited
• Access to course content on mobile, tablet or desktop from anywhere, anytime;
• The benefit of career advancement opportunities;
• 24/7 student support via email.
  

Career Path

Completing this course opens up numerous career opportunities in data science, analytics, and research. You will gain the skills to work as a data analyst, data scientist, or research analyst. Additionally, the expertise acquired in this course proves valuable for roles in business intelligence, machine learning, and financial analysis. By mastering data manipulation in Python, you will be prepared to tackle complex data-driven projects and advance your career rapidly.