18,00 €
Dive into Data Science & Python with our Level 3 Diploma, tailored for aspiring data analysts. Master Python programming, data handling, and visualization techniques essential for data science. Transform your analytical skills and become proficient in Python and data science tools to tackle real-world data challenges.
Key Lesson Snippets:
➥ Working with Data Types in Data Science & Python
Explore fundamental and complex data types in Python. Learn how to effectively use these types in data analysis, ensuring a strong foundation for advanced data science tasks.
➥ Python Strings for Data Science
Delve into string operations and methods crucial for data cleaning and preparation in Python. Tailored for data science needs, this module enhances your ability to manipulate textual data efficiently.
➥ Python Casting and Input for Data Science
Learn how to convert data types and handle user input, a vital skill for creating interactive data science applications and preprocessing data for analysis.
➥ Python Dictionary for Data Science Applications
Master the use of dictionaries for storing and accessing data quickly and efficiently, a key technique in managing large datasets in Python.
➥ Python Loop Techniques in Data Science
Gain expertise in using loops to automate data processes, from simple data aggregation to complex data transformations, essential for robust data analysis.
➥ Error Handling in Python for Data Science
Understand how to manage and debug Python code by handling exceptions, crucial for maintaining the reliability and accuracy of data science models.
➥ Python File Handling for Data Science
Acquire skills in reading and writing files in Python, enabling you to handle various data formats and perform data persistence essential for any data science project.
➥ Utilizing Python Modules in Data Science
Explore popular Python modules and learn how to integrate them into your data science projects to extend functionality and improve efficiency.
➥ Data Science Environment Setup with Python
Set up a productive environment for data science, including essential Python packages and tools, to streamline your workflow and enhance productivity.
➥ Working with the Numpy Package for Data Science
Understand the power of Numpy for numerical operations in Python. This module covers array manipulations, matrix operations, and statistical calculations.
➥ Working with Pandas Data Science Package
Learn to manipulate data using Pandas, focusing on data frames for data cleaning, analysis, and visualization—key for any data-driven insights.
➥ Working with Matplotlib Data Science Package
Master data visualization with Matplotlib. Create plots and charts to communicate data insights visually, an indispensable skill in data analysis and presentation.
This course will pave the way for higher study in the field of Data Science & Python. You can enrol on higher level Data Science & Python courses, such as:
| Hours · Self-Paced | 3.7 |
|---|---|
| Language | English |
