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Ultimate Python Bootcamp For Data Science & Machine Learning ($49 to Free)
Hi, dear learning aspirants welcome to “Ultimate Python Bootcamp For Data Science & Machine Learning ” from beginner to advanced level. We love programming. Python is one of the most popular programming languages in today’s technical world. Python offers both object-oriented and structural programming features. Hence, we are interested in data analysis with Pandas in this course.
This course is for those who are ready to take their data analysis skill to the next higher level with the Python data analysis toolkit, i.e. “Pandas”.
This tutorial is designed for beginners and intermediates but that doesn’t mean that we will not talk about the advanced stuff as well. Our approach of teaching in this tutorial is simple and straightforward, no complications are included to make bored Or lose concentration.
In this tutorial, I will be covering all the basic things you’ll need to know about the ‘Pandas’ to become a data analyst or data scientist.
We are adopting a hands-on approach to learn things easily and comfortably. You will enjoy learning as well as the exercises to practice along with the real-life projects (The projects included are the part of large size research-oriented industry projects).
I think it is a wonderful platform and I got a wonderful opportunity to share and gain my technical knowledge with the learning aspirants and data science enthusiasts.
What you will learn:
You will become a specialist in the following things while learning via this course
“Data Analysis With Pandas”.
- You will be able to analyze a large file
- Build a Solid Foundation in Data Analysis with Python
After completing the course you will have professional experience on;
- Pandas Data Structures: Series, DataFrame and Index Objects
- Essential Functionalities
- Data Handling
- Data Pre-processing
- Data Wrangling
- Data Grouping
- Data Aggregation
- Working With Hierarchical Indexing
- Converting Data Types
- Time Series Analysis
- Advanced Pandas Features and much more with hands-on exercises and practice works.
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Build A Search Engine With Python: Computer Science & Python($39 to Free)
AStateOfData.Com™ Computer Science With Python: An Absolute Beginners Guide To Computer Science
- WHY THIS COURSE IS DIFFERENT?
Many of the online courses teach you to code but not the theory/way of thinking behind it why would we choose a while but not a for loop, why should we pass 2 parameters to a function but not only one?
This course will teach you how to think about solving coding problems throughout quizzes, there are 112 video format quizzes that aim to keep you engaged with the course and teach you the Python fundamentals in an easy to follow manner
- MEET THE INSTRUCTOR
We provide a platform for thousands of people to expand the understanding of programming and computer science. Founded in 2013 our mission is to spread the love for programming. To achieve this, we’re working hard on providing content that will help people build a solid foundation in those subjects.
- WHAT TO EXPECT
This course will help you to master the foundation and know-how to solve problems with Python code.
2. The content in a nutshell
- WHAT EACH UNIT IS ABOUT
This course will introduce you to the fundamental ideas in computing and teach you to read and write your own computer programs. We are going to do that in the context of building a web search engine.
Uint 1 will teach you the python grammar and show you how to use variables, strings, and some Python built-in functions to work on them in order to create a web crawler that makes use of those.
Unit 2 will take you in more depth in using procedures, loops, and the logical constructs in order to add more functionality to the crawler built-in unit 1.
Unit 3 is about managing data through mastering the use of the different data types to be able to create the search engine index.
Our biggest goal tho is to learn about computer science, So unit 4 focuses on teaching you how computers store data and how to be cost-effective when doing that. In addition to understanding the foundation of networks and data management.
By the end of unit 5, you’ll have a better understanding of how programs run and how to implement a hash table for our search engine.
Unit 6 will extend the grammar we introduced in unit 1 and will show you how to get the best result for a search query.
If the course gets much interaction and feedback, we’ll work on units to demonstrate how to code real-world Python applications
That’s the content in a nutshell. I hope you’re as excited as I’m to start this learning journey, so just the enrollment today and thank me later.
3. Who is the course for?
- BEGINNERS WHO WANT TO LEARN IN AN ACADEMIC WAY
This course is designed for extreme beginners with no computer science or programming background, it’ll help them get up and running with Python and give them a foundational understanding of computer science concepts.
- NOT FOR EXPERIENCED PROGRAMMERS
If you’re an experienced programmer or you already master Python and computer science concepts, then please do not take this course, unless you’d want a quick refresh on the Python programming foundation
4. Learning objectives
- MASTER THE FOUNDATION OF PROGRAMMING
This course focuses on helping extreme beginners in mastering computer science and python programming theory, in order to be able to solve coding problems or develop their own applications.
5. Conventions used in this course
Most of the snippets of code shown in this course (slides not interpreter), follows these color schemes:
- Variable names: green
- Operators: purple
- Python built-in functions: cyan
- Procedure names: blue
- Boolean Values: golden yellow
- Quizzes Questions and choices: orange
- Quizzes correct answer: green thick
- Quizzes false answer: red X
- Python symbols: pink
This course is the first of a multiple-courses sequence: Introduction to Computer Science and Programming Using Python. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems.
Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. That said, they are not “computation appreciation” courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will.
In this introduction to computer programming course, you’ll learn and practice key computer science concepts. You’ll learn Python, a powerful, easy-to-learn, and widely used programming language, and you’ll explore computer science basics, as you build your own programs.
This Computer science and programming using python course will introduce you to the fundamental ideas in computing and teach you to read and write your own computer programs.
Computer science is about how to solve problems, like building a search engine, by breaking them into smaller pieces and then precisely and mechanically describing a sequence of steps that you can use to solve each piece. And those steps can be executed by a computer.
In this course, we will not get into everything that you need to be a programmer, but we will cover the main ideas and learn a lot about computer science along the way.
By the end of this course, you will be fluently programming in Python and you’ll be so good at Python that you can get a job or use the language professionally.
You’ll cover all that you need to be an accomplished Python Programmer. Including:
- What is Programming
- Why programming
- Grammar and Python Rules
- Backus Naur Form
- Python Grammar
- Introducing Variables
- Variables Can Vary
- Introducing Strings
- Using Strings
- Strings and Numbers – String Concatenation
- String indexing
- String subsequences
- Understanding string selection
- Finding string in string
- Find Function With Parameter
- Extracting links from a web page
- Procedural abstraction
- Introducing procedures
- Procedure code
- Procedure input
- Procedure Output
- Return Statement
- Inc Procedure
- Sum procedure
- Square procedure
- Equality Comparison
- If statement
- The Or construct
- While loop
- Factorial Function
- Break Keyword
- Print all links from a seed page
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The R Programming For Data Science A-Z Complete Diploma 2021($89 to Free)
Hello and Welcome to the exciting world of the R programming language.
# The R Programming For Data Science A-Z Complete Diploma 2021
R is one of the most powerful programming languages, for statistical computing and graphical presentation to analyze and visualize data.
In this course, I’m going to show you how to code with R from the R basics to the R advanced concepts.
Also, you will explore how the R programming language can be used today for data analysis and the production of beautiful data visualizations and graphics.
The best part? Every single topic and tool in this course will be explained theoretically and practically with real examples step by step.
This course will cover all the R essentials needed for everyone such as:
- The R working tools and environment for professionals
- The R syntax and how to explain and describe the code using comments
- Variables, Values and assignments
- All the Data types available in R.
- Performing mathematical operations, type conversion built-in functions and many useful built-in functions for math operations.
- Working with collection of characters and strings in R, also essential character operations
- Logical values and Booleans.
- Handling different operations on variables and values by using different types of operators.
- All the Data Structures in R such as vectors, lists, matrices, data frames and factors
And also all the essential operations for these data structures.
- decision making by using conditional statements in R.
- Repeat block of code and iterate over collections with loops.
- Functional programming and code reusing.
- Statistics and data analysis concepts: datasets, many built-in functions, techniques and tools for statistical operations.
- Graphics and data visualizations in R: drawing points, line plotting, pie charts, bar charts, histograms and more.
You will learn and understand all these concepts and more.
R is free open source, and very widely used by professional statisticians and data scientists.
It is also very popular in certain application areas, including bioinformatics. R is a dynamically typed interpreted language, and is typically used interactively. It has many built-in functions and libraries, and is extensible, allowing users to define their own functions and procedures using R, C or Fortran. It also has a simple object system. So, it’s really powerful!
So, what are you waiting for, enroll now to go through a complete bootcamp of one of the most popular and powerful programming languages on the market for , R.
Become A Professional R Programmer and Data Scientist in no time!
Let’s get started
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– Always wanted to create various projects with this programming language
– are simply curious about this programming language
The structure of the course
For who is this course designed
Why should I take this course
There is no risk involved in taking this course
This course comes with a 100% satisfaction guarantee, this means that if your are not happy with what you have learned, you have 30 days to get a complete refund with no questions asked. Also, if there is any concept that you find complicated or you are just not able to understand, you can directly contact me and it will be my pleasure to support you in your learning.
This means that you can either learn amazing skills that can be very useful in your professional or everyday life or you can simply try the course and if you don’t like it for any reason ask for a refund.
You can’t lose with this type of offer !!
ENROL NOW and start learning today 🙂