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Learn About Python's Features, Standard Library Modules & Third-Party Software Packages

Introduction To Python

Our three-day Introduction To Python training course will provide a foundation for learning and understanding the Python programming language. Python is a versatile and widely used programming language known for its simplicity, readability, and a large number of libraries and frameworks that make it suitable for various applications. We will teach you how to use Python’s features, standard library modules, and third-party software packages.

Introduction To Python For Data Analytics

Our one-day Introduction To Python For Data Analytics training course will help you gain the skills you need to analyse and visualise data with Python. Aiding in helping you learn the fundamentals of Python programming with a focus on data analytics, and work with popular statistical computing libraries — like numPy, Pandas, sciPy, and Scikit-learn — that allow you to begin analysing data to answer key business questions.

  • The eBooks and on-demand courses provided with this offering are a great way to explore your interest in the topics covered in the instructor-led course.

Advanced Python: Best Practices And Design Patterns

Our four-day Advanced Python: Best Practices And Design Patterns training course will teach you the importance of Advanced Python programming and the accompanying concepts and methods of Best Practices and Design Patterns. Understand the methods and following the principles of this course will help you write efficient, maintainable, and scalable code.

  • Best practices in advanced Python programming refer to a set of guidelines and recommendations that experienced Python developers follow to write high-quality code. These practices encompass various aspects of coding style, organisation, error handling, testing, documentation, and performance optimisation.
  • Design patterns, on the other hand, are reusable solutions to common software design problems. They provide a blueprint or template for solving recurring issues in software architecture and design.

Applied Data Science With Python And Jupyter

Our Applied Data Science With Python And Jupyter training course you will:

  • Learn about some of the most commonly used libraries that are part of the Anaconda distribution and then explore machine learning models with real datasets.
  • learn about creating reproducible data processing pipelines, visualisations, and prediction models, all with the goal of giving you the skills and exposure you’ll need for the real world.

Data Science is one of the fastest growing professions across all industries. Open source tools like Python have become increasingly popular, and when paired with Jupyter Notebooks, can provide a variety of data-science applications. Attend this one-day hands-on course and learn to leverage all that these powerful tools have to offer.

Introduction To Data Science, Machine Learning & AI Using Python

Our five-day Introduction To Data Science, Machine Learning & AI Using Python training course you will start with exploring the role of a data scientist and the lifecycle of data science efforts within an organisation. Then, you'll dive into the technical skills you need, such as using Python and its relevant libraries for data analysis and visualisation, pre-processing unstructured data, and building AI/ML models.

You'll also explore key machine learning algorithms, including linear regression, decision tree classifiers, and clustering algorithms. And, you'll learn how to apply these techniques to real-world problems, such as predicting customer churn and building recommendation engines.

Throughout data science training, you'll have the opportunity to work on hands-on exercises and projects, allowing you to practice your skills and build your portfolio. By the end of the course, you'll have a deep understanding of the data science process, the tools and techniques used by data scientists, and the ability to apply these skills to real-world problems.

Data Wrangling With Python

Our Data three-day Wrangling With Python training course will teach how to use Python to extract/transform data from various sources, including large database vaults and Excel financial tables. You will also explore insights into why you should avoid traditional data cleaning methods, as done in other languages, and take advantage of the specialised functions from NumPy and Pandas.

Data Visualisation With Python

Our three-day Data Visualisation With Python training course will teach you how to use Python’s data visualisation libraries, including NumPy, Pandas, Matplotlib, and Seaborn to better understand data analytics.

Data visualisation with Python has numerous applications across different fields. It is widely used in data analysis, business intelligence, scientific research, machine learning, finance, and more. By visualising data, patterns, trends, outliers, and relationships can be identified more easily, enabling better decision-making and communication of insights.


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Don't Just Take Our Word For It

Python training offers a wide range of benefits, including: Versatility: Python is a versatile programming language that can be used for web development, data analysis, artificial intelligence, machine learning, automation, and more. By learning Python, you gain a valuable skill set that can be applied across various domains and industries.

Easy To Learn & Readable Syntax: Python has a clean and readable syntax, making it beginner-friendly and easier to understand compared to other programming languages. It emphasizes code readability and simplicity, enabling developers to write clear and concise code, reducing the chances of errors and improving code maintainability.

Large & Active Community: Python has a vast and active community of developers who contribute to its growth and development. This means there is extensive support available in the form of libraries, frameworks, documentation, and online resources. The Python community also fosters collaboration and knowledge sharing, making it easier to learn and grow as a developer.

Data Analysis & Scientific Computing: Python has become a go-to language for data analysis and scientific computing. With libraries such as NumPy, Pandas, and SciPy, Python provides powerful tools for data manipulation, statistical analysis, visualisation, and more. Python's integration with Jupyter Notebook also enhances the data exploration and analysis process.

Web Development: Python frameworks like Django and Flask simplify web development, enabling developers to create robust and scalable web applications quickly. Python's simplicity, along with its vast collection of libraries and frameworks, makes it an ideal choice for building web applications, RESTful APIs, and server-side scripting.

Automation & Scripting: Python's ease of use and extensive standard library make it an excellent language for automation and scripting tasks. From automating repetitive tasks, writing system scripts, to creating software utilities, Python offers a straightforward and efficient solution.

Machine Learning & Artificial Intelligence: Python has gained significant popularity in the field of machine learning and artificial intelligence. Libraries like TensorFlow, Keras, and PyTorch provide powerful frameworks for building and deploying machine learning models. Python's simplicity and extensive ML ecosystem make it an ideal choice for AI and ML development.

Career Opportunities: Python's versatility, wide range of applications, and growing demand in various industries make it a valuable skill for career growth. Learning Python can open doors to opportunities in software development, data science, machine learning, web development, and more.

In summary, Python training equips you with a versatile and powerful programming language that enables you to tackle various projects, automate tasks, analyse data, build web applications, and explore the exciting fields of AI and machine learning.