Fundamentals of Data Science with Python

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Description

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    Course

  • Methodology

    Online

  • Start date

    Different dates available

Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learnPython has grown into a key language that can be used to develop solutions for a variety of data science challenges. This course will teach you the fundamentals of data science using Python and its growing collection of libraries that focus on particular elements of data science.In this course, we will get hands-on with a variety of data science tasks. After a quick primer on Python, you will start with a quick task: sourcing, processing, and cleaning a dataset. Then, you will use Python to mine data from its source and analyze available data via statistical and probability analysis techniques by using NumPy and pandas. You will also look at modeling data in order to perform Artificial Intelligence prediction by using the SciPy, scikit-learn, and statsmodels libraries. The course also covers visualization methods using the Matplotlib library to display this analysis and visually demonstrate patterns in the data.By the end of this course, you will be able to work on data science tasks in a practical way with different Python libraries and achieve your goals.About the AuthorNicolas Rangeon is a freelance data scientist. He has spent the last 2 years teaching data science, emphasizing how to store, retrieve, and analyze data from any kind of database. He developed a feel for teaching both technical skills and mathematical concepts; both are required if you want to be a proficient data analyst.After having graduated with a Masters degree in Computer Science, Nicolas worked as a freelance data scientist and data engineer for several small businesses where he deployed, managed, and mined databases in order to get value from their stored data.When it comes to deploying and managing a relational database, his first choice is always PostgreSQL, due to its robustness and its ability to handle large amounts of data efficiently.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Use Python for data mining, loading, and manipulation
Understand simple statistics and probability using NumPy
Work with Bayesian statistical analysis with NumPy library
Perform statistical modeling and fitting using the NumPy, SciPy, and statsmodels libraries
Use Python's graphics libraries to plot data with the Matplotlib library
Work with the scikit-learn library to build AI models

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This centre's achievements

2021

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The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Object oriented training
  • Object-oriented training
  • Database
  • Database training
  • Teaching
  • Writing
  • Programming
  • Object oriented Programming
  • Oriented Programming
  • Install

Course programme

Primer on Python 8 lectures 41:39 Course Overview This video will give you an overview about the course. Introduction to Python Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Installing Python and Creating a First Jupyter Notebook Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Overview of the Different Variable Types Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Manipulating Variables with Operators Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Writing Functions with Python Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Conditions and Loops Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Object-Oriented Programming with Python Organizing your program efficiently for clearer and reusable code, thanks to object-oriented programming.
  • Define the variables you need in the object
  • Define the methods to manipulate your object’s data
  • Use the object without worrying about its internal functioning
Primer on Python - Quiz Primer on Python. 8 lectures 41:39 Course Overview This video will give you an overview about the course. Introduction to Python Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Installing Python and Creating a First Jupyter Notebook Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Overview of the Different Variable Types Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Manipulating Variables with Operators Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Writing Functions with Python Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Conditions and Loops Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Object-Oriented Programming with Python Organizing your program efficiently for clearer and reusable code, thanks to object-oriented programming.
  • Define the variables you need in the object
  • Define the methods to manipulate your object’s data
  • Use the object without worrying about its internal functioning
Primer on Python - Quiz Course Overview This video will give you an overview about the course. Course Overview This video will give you an overview about the course. Course Overview This video will give you an overview about the course. Course Overview This video will give you an overview about the course. This video will give you an overview about the course. This video will give you an overview about the course. Introduction to Python Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Introduction to Python Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Introduction to Python Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Introduction to Python Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Explain why you are choosing Python for data science.
  • Understand the use of Python for data science
Installing Python and Creating a First Jupyter Notebook Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Installing Python and Creating a First Jupyter Notebook Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Installing Python and Creating a First Jupyter Notebook Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Installing Python and Creating a First Jupyter Notebook Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Install a development environment, in order to code efficiently and fluently.
  • Download the installer
  • Install the program
  • Test the notebook
Overview of the Different Variable Types Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Overview of the Different Variable Types Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Overview of the Different Variable Types Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Overview of the Different Variable Types Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Understand how to store data into a program, thanks to the variables.
  • Understand what a variable is
  • Understand how to use a variable
  • Learn the different types of variables
Manipulating Variables with Operators Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Manipulating Variables with Operators Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Manipulating Variables with Operators Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Manipulating Variables with Operators Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Manipulating the data stored into variables in order to make computations, thanks to the operators.
  • Manipulate the arithmetic operators
  • Manipulate the comparison operators
  • Manipulate the logical operators
Writing Functions with Python Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Writing Functions with Python Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Writing Functions with Python Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Writing Functions with Python Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Writing functions in order to group together a set of several operations.
  • Choose a set of operations to group
  • Define the function and call it
  • Generalize the function if needed, thanks to the parameters
Conditions and Loops Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Conditions and Loops Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Conditions and Loops Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Conditions and Loops Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Make the program adapt the input data, thanks to the loops and conditions.
  • Repeat operations as many times as there are elements in the input data
  • Adapt the behavior to the data with conditions
  • Transform a list into another one thanks to list comprehension
Object-Oriented Programming with Python Organizing your program efficiently for clearer and reusable code, thanks to object-oriented programming.
  • Define the variables you need in the object
  • Define the methods to manipulate your object’s data
  • Use the object without worrying about its internal functioning
Object-Oriented Programming with Python Organizing your program efficiently for clearer and reusable code, thanks to object-oriented programming.
  • Define the variables you need in the object
  • Define the methods to manipulate your object’s data
  • Use the object without worrying about its internal functioning
Object-Oriented Programming with Python Organizing your program efficiently for clearer and reusable code, thanks to object-oriented programming.
  • Define the variables you need in the object
  • Define the methods to manipulate your object’s data
  • Use the object without worrying about its internal functioning
Object-Oriented Programming with Python Organizing your program efficiently for clearer and reusable code, thanks to object-oriented programming mes of different nature together
  • Aggregate a DataFrame
    • Python for Data Science - Quiz...

    Additional information

    The course begins with a primer to Python, so you don’t have to worry if you haven’t worked with Python before

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    Fundamentals of Data Science with Python

    £ 10 VAT inc.

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