FREE UDEMY COURSES Basically Python

Tuesday, 14 July 2020

PHYTON FREE COURSES FOR LIMITED TIMES KINDLY ENROLL FAST




1.Data Analysis & Statistics: practical course

Find out why data planning is like a bank robbery and why you should explore data like Indiana Jones. Get to know the poisonous triangle of data collection and see how data can be spoiled during preparation with one bad ingredient. Learn why data analysis itself is the cherry on top and understand why data analysis is all about the money and what to do about it.

If you ever wanted to learn data analysis and statistics, but thought it was too complicated or time consuming, you’re in the right place. Start using powerful scientific methods in a simple way. This is the data analysis and statistics course you’ve been waiting for. Practical, easy to understand, straight to the point.

This course will give you the complete package to be very effective in analyzing data and using statistics. Throughout the course we will use the mobile shopping case study, which makes learning fun along the way.

Main features of this course:

  • Provides you the complete package to be comfortable using statistics and analyzing data
  • Covers all stages of data analysis process
  • Very easy to understand
  • No complicated equations
  • Plain English instead of multiple statistical terms
  • Practical, with mobile shopping case study
  • Exercises and quizzes to help you master data analysis and statistics
  • Real world dataset and other materials to download
  • More than 70 high quality videos

Why should you take this course?

Data analysis is becoming more and more popular and important every year. You don’t have to become data science guru or master of data mining overnight, but you should know how to analyze and use data in practice. You should be able to effectively work with real world, business data on your own. And this course is all about giving you just that in the quickest and easiest way possible. You won’t waste time for theoretical concepts relevant to geeks and teachers only. We will dive directly into the key knowledge and methods.

You will follow the intuitive step-by-step process, with examples, quizzes and exercises. The same process that is utilized by the most successful companies. At the end of the course you will feel comfortable with data analysis tasks and use of the most important statistics. This course is a first step you need to take into the world of professional data analysis and you don’t need any experience to take it. Go beyond Excel analysis and surprise your boss with valuable insight. Or learn for the benefit of your own company. Whatever is your motivation to start with data analysis and statistics, you’re in the right place.

This complete course is divided into six essential chapters that corresponds with the six parts of data analysis process – data planning, data exploration, data collection, data preparation, data analysis and data monetization. All of this explained in a pleasant and accessible way, just like your colleague would explain this to you. And obviously you have 30 days money back guarantee, if you don’t like this course for any reason. But I do everything in my power for you not only to like the course, but to love it.

A lot of people will tell you that you have to learn programming languages to analyze data effectively, but it’s not true and you will see it in this course. Programming background is nice, but you don’t have to know any programming language to uncover the power of data. Understanding data analysis and statistics is not far away. It is the key competence on the job market, but also in everyday life. Remember that no great decision has ever been made without it. Sign up for this course today and immediately improve the skills essential for your success.

Who this course is for:

  • It’s for you, if you want to make informed decisions based on data
  • It’s for you, if you want to be more efficient in your work
  • It’s for you, if you want to update or develop your skills and analyze data the right way
  • It’s for you, if you are interested in data analysis or statistics
  • It’s for you, if the content of other courses turned out to be difficult to understand

WHAT WILL YOU LEARN IN THIS COURSE:

  • How to analyze data and how to use statistics in practice
  • How to predict or explain different behaviors and events
  • How to prepare data for the analysis
  • How to collect data
  • How to create a survey
  • How to visualize data
  • How to find ideas for data research
  • How to tell the story through data
  • How to draw conclusions and have profits from the results of your data analysis

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2.Python Basics for Math and Data Science: Numpy and Sympy


Hey there! I welcome you all to my course -Python Basics for Mathematics and Data Science 1.0 : Numpy and Sympy . This course mainly focuses on two important libraries in python called as Numpy and Sumpy. If you’re someone who know the basics of Python and looking forward to develop a project or kickstart your career in Data Science and Machine Learning, this course will highly motivate you to learn further.

After completing this course, you’ll be able to

  1. Create 2D Matrices (numpy arrays) in Python
  2. Access the elements, rows and columns of a numpy array
  3. Do matrix addition, multiplication, transpose operations in Python in a single line code
  4. Inbuilt functions for statistical operations
  5. Solve linear equation with one unknown in python
  6. Solve linear equations with two unknowns in python
  7. Solve Quadratic and cubic equations in python
  8. Differential Calculus in Python
  9. Integral Calculus in Python –  Definite and Indefinite Integrals

and a lot more stuff.

Nothing more to write here! I’ll see you there in my lectures!

Who this course is for:

  • Beginner Python developers

WHAT WILL YOU LEARN IN THIS COURSE:

  • Mathematical calculations using Python 3
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3.Affiliate Marketing for Beginners

This course is full of short & to the point, precise chapters with actionable steps, assignments & interactions. I really hope you do complete it. The only way you will see results, is if you take action.

Who this course is for:

  • Digital Marketing, Work From Home, Online Education, Affiliate-Marketing, Make Money Online

WHAT WILL YOU LEARN IN THIS COURSE:

  • How to build a successful business out of Affiliate-Marketing
                      TO ENROLL THE COURSE CLICK







3.Python Bootcamp 2020 Build 15 working Applications & Games

After that in first section you will learn all the basics of python like data-types, loops, conditionals, operators, file-handling, time-date, libraries and a lot. In addition you will also apply all you have learn in section-1 on practical working programs and games.

Second section is about data-visualisation in which you will learn what is data science and how things work in that, and you will learn libraries like Matplotlib, seaborn, pandas, poorly and cufflinks for data visualisation and pandas, numpy for data analysis.

you will also learn geo-plotting for visualising globe data. In addition you will built a large number of beautyfull plots and even 3-D plots to practice your skills. Then we will move to the project part of section-2 in which you will learn to create automatic plotter, base maps and big-data analysis project that actually analyse more than 60 million+ data.

Third section is all about graphical and user interface. In which you will learn that how the desktop applications are made, you will learn about tkinter to built windows applications, then you will learn about database that how you can store your program data and where to store.

After that we will move to a very interesting concept turtle graphics where you will learn how to make moving graphical things.Then this section is full of projects with actually working games and database applications. also project that will make you learn how to use keys to move your objects in games and in applications.

This is not the end of the course time to time new data will be added to it.

Who this course is for:

  • Everyone who want to learn python.

WHAT WILL YOU LEARN IN THIS COURSE:

  • Complete Python.
  • Python basics like data-types, loops, decision-makings, file handling, libraries, modules, date-times etc.
  • Terminal based programming applications using Python.
  • Artificial intelligent Python game.
  • Python for desktop applications and GUI programming.
  • Creating desktop applications using Tkinter with Python.
  • Using databases using Python.
  • Turtle graphics for creating graphical applications and motion using Python
  • Real working 5+ graphical games using Python.
  • Use of keyboard keys to move objects in your applications and in games using python
  • learn to build smart calculators and dictionaries using python.
  • Datascience and data visualisation using python.
  • data visualisation using Matplotlib in python.
  • data visualisation using Seaborn in python.
  • data visualisation using pandas in python.
  • data visualisation using poorly and cufflinks in python.
  • data analysis using Numpy and pandas in python.
  • geoplotting using python.
  • learn to build an automatic plotter for data visualisation.
  • learn to build big data analysis project with more than 60million + data using python.
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4.Machine Learning & Python & Data Science

WHAT WILL YOU LEARN IN THIS Machine Learning COURSE:

  • Hypothesis Space and Inductive Bias
  • Evaluation and Cross-Validation
  • Linear Regression
  • Learning Decision Tree
  • Python Exercise on Decision Tree and Linear Regression
  • and Much MUch More!!

  In this Machine Learning course we will have a quick introduction to machine learning and this will not be very deep in a mathematical sense but it will have some amount of mathematical trigger and what we will be doing in this Machine Learning course is covering different paradigms of machine learning and with special emphasis on classification and regression tasks and also will introduce you to various other machine learning paradigms. In this introductory lecture set of lectures I will give a very quick overview of the different kinds of machine learning paradigms and therefore I call this lectures machine learning. )

A brief introduction with emphasis on brief right, so the rest of the Machine Learning course would be a more elongated introduction to machine learning right.

                                     TO ENROLL THE COURSE CLICK

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PRANJAL CHETRI

Author & Editor

Has laoreet percipitur ad. Vide interesset in mei, no his legimus verterem. Et nostrum imperdiet appellantur usu, mnesarchum referrentur id vim.

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