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Project Based Python Programming For Kids & Beginners

Beginners and Kids Can Now Learn Python the Fun and Easy Way

Teach yourself (and your kids) to code fun games, graphics and GUI in Python, the powerful programming language used at tech companies and in academia.

Unlike the other courses and books out there, this course provides a rare opportunity to learn the graphics and UX (User Experience) sides of Python – even as a beginner! Unlike the many other Python courses on Udemy, this course introduces you to this computer language by drawing shapes, coding a simple game, and designing GUIs (Graphic User Interfaces), including a functional GUI for a temperature converter app.

Gain a Firm Foundation in Python GUI Programming

Learn the basics of Python game programming

Craft elegant and useful Python GUIs

Create simple and practical applications in Python

Explore the world of Python graphic design

If you want to learn to code, Python GUIs are the best way to start!

I designed this programming course to be easily understood by absolute beginners and young people. We start with basic Python programming concepts. Reinforce the same by developing games, graphics and GUIs. And finally we will develop a practical temperature converter app using Python.

Why Python?

The Python coding language integrates well with other platforms – and runs on virtually all modern devices. If you’re new to coding, you can easily learn the basics in this fast and powerful coding environment. If you have experience with other computer languages, you’ll find Python simple and straightforward. This OSI-approved open-source language allows free use and distribution – even commercial distribution.

Can You Build a Career with Python?

Absolutely! On average, U.S. Python developers earn $109,000 per year. This powerful and widely-used language could be your or your child's ticket to a better life. With the rigorous grounding you get from this course, you’ll have the knowledge and confidence to step into higher-level Python courses.

How Can You Use Python?

Once you gain a basic knowledge of Python through this course, you can explore a diverse range of programming specialties:

Build Desktop/Laptop GUIs

Design Exciting and Immersive Games

Develop Websites and Apps

Analyze Scientific and Statistical Data

Create Educational Software

Access and Organize Databases

Manage Networks

Who Uses Python?

This course gives you a solid set of skills in one of today’s top programming languages. Today’s biggest companies (and smartest startups) use Python, including Google, Facebook, Instagram, Amazon, IBM, and NASA. Python is increasingly being used for scientific computations and data analysis.

You Can Start Right Away, Without Prior Programming Experience

Detailed instructions have been provided with regards to Python installation and getting started with Microsoft Visual Code, a powerful programming IDLE that will be a valuable tool for your programming journey. Hands-on coding instructions have been provided in the lecture videos to enable you to follow along. Additionally, working code examples have been provided for you to try and modify. Each video will teach you a new practical programming concept that you can apply in real time and quizzes will reinforce your learning.

The instructor is an Oxbridge trained researcher and always available to troubleshoot. You'll also receive an industry recognized Certificate of Completion upon finishing the course.

No Risk: Preview videos from the different sections for FREE, and enjoy a 30-day money-back guarantee when you enroll - zero risk, unlimited payoff!

Sign up for this course today and learn the skills you need to rub shoulders with today’s tech industry giants. Have fun, create and control intriguing and interactive Python GUIs, and enjoy a bright future!

Who this course is for:

Anyone who wants to learn to code

People wanting to program in Python

People interested in gaining hands-on Python skills and actually wanting to work through real life programming projects

People interested in building games and GUIs

Anyone looking to start with Python GUI development

Programming beginners and children who want to create practical applications.

Project Based #Python #Programming For #Kids & #Beginners  90% OFF ! #coupon for UDEMY COURSE https://www.udemy.com/project-based-python-programming-for-kids-beginners/?couponCode=PYTHONLEARN10A

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Complete Data Science Training with Python for Data Analysis

Complete Guide to Practical Data Science with Python: Learn Statistics, Visualization, Machine Learning & More

THIS IS A COMPLETE DATA SCIENCE TRAINING WITH PYTHON FOR DATA ANALYSIS:

It's A Full 12-Hour Python Data Science BootCamp To Help You Learn Statistical Modelling, Data Visualization, Machine Learning & Basic Deep Learning In Python!

HERE IS WHY YOU SHOULD TAKE THIS COURSE:

First of all, this course a complete guide to practical data science using Python...

That means, this course covers ALL the aspects of practical data science and if you take this course alone, you can do away with taking other courses or buying books on Python-based data science.  

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level!

THIS IS MY PROMISE TO YOU:

COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL PYTHON BASED DATA SCIENCE!

But, first things first, My name is MINERVA SINGH and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.

Over the course of my research, I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning...

This gives the student an incomplete knowledge of the subject. This course will give you a robust grounding in all aspects of data science, from statistical modelling to visualization to machine learning.

Unlike other Python instructors, I dig deep into the statistical modelling features of Python and gives you a one-of-a-kind grounding in Python Data Science!

You will go all the way from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning-based models using Python

DISCOVER 12 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON DATA SCIENCE (INCLUDING):

• A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda • Getting started with Jupyter notebooks for implementing data science techniques in Python • A comprehensive presentation about basic analytical tools- Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, Broadcasting, etc. • Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data • How to Pre-Process and “Wrangle” your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc. • Creating data visualizations like histograms, boxplots, scatterplots, bar plots, pie/line charts, and more! • Statistical analysis, statistical inference, and the relationships between variables • Machine Learning, Supervised Learning, Unsupervised Learning in Python • You’ll even discover how to create artificial neural networks and deep learning structures...& MUCH MORE!

With this course, you’ll have the keys to the entire Python Data Science kingdom!

NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable Python Data Science basics and techniques...

I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python.

My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real life.

After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python.

You’ll even understand deep concepts like statistical modelling in Python’s Statsmodels package and the difference between statistics and machine learning (including hands-on techniques).

I will even introduce you to deep learning and neural networks using the powerful H2o framework!

With this Powerful All-In-One Python Data Science course, you’ll know it all: visualization, stats, machine learning, data mining, and deep learning!

The underlying motivation for the course is to ensure you can apply Python-based data science on real data and put into practice today. Start analyzing data for your own projects, whatever your skill level and IMPRESS your potential employers with actual examples of your data science abilities.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

This course is your one shot way of acquiring the knowledge of statistical data analysis skills that I acquired from the rigorous training received at two of the best universities in the world, a perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

This course will:

  (a) Take students without a prior Python and/or statistics background from a basic level to performing some of the most common advanced data science techniques using the powerful Python-based Jupyter notebooks.

  (b) Equip students to use Python for performing different statistical data analysis and visualization tasks for data modelling.

  (c) Introduce some of the most important statistical and machine learning concepts to students in a practical manner such that students can apply these concepts for practical data analysis and interpretation.

  (d) Students will get a strong background in some of the most important data science techniques.

  (e) Students will be able to decide which data science techniques are best suited to answer their research questions and applicable to their data and interpret the results.

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, the majority of the course will focus on implementing different techniques on real data and interpret the results. After each video, you will learn a new concept or technique which you may apply to your own projects.

JOIN THE COURSE NOW!

#data #analysis #python #anaconda #analytics

Who this course is for:

Anyone Who Wishes To Learn Practical Data Science Using Python

Anyone Interested In Learning How To Implement Machine Learning Algorithms Using Python

People Looking To Get Started In Deep Learning Using Python

People Looking To Work With Real Life Data In Python

Anyone With A Prior Knowledge Of Python Looking To Branch Out Into Data Analysis

Anyone Looking To Become Proficient In Exploratory Data Analysis, Statistical Modelling & Visualizations Using iPython.

Complete Data #Science Training with #Python for #Data Analysis Online #course now 95% discounted check #coupon https://www.udemy.com/complete-data-science-training-with-python-for-data-analysis/?couponCode=PYTHON_DS10

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Applied Statistical Modeling for Data Analysis in R

APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN R

COMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R

            Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing?

Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life data from different sources using statistical modeling and producing publications for international peer reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you’re going to love this course!

I created this course to take you by hand and teach you all the concepts, and take your statistical modeling from basic to an advanced level for practical data analysis.

With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only one course you need to complete  in order to get a head start in practical statistical modeling for data analysis using R.

My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks.

GET ACCESS TO A COURSE THAT IS JAM PACKED WITH TONS OF APPLICABLE INFORMATION! AND GET A FREE VIDEO COURSE IN MACHINE LEARNING AS WELL!

This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

To be more specific, here’s what the course will do for you:

 (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R.

 (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling.

 (c) It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation.

 (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis.

 (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results.

The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results.

After each video you will learn a new concept or technique which you may apply to your own projects immediately!

TAKE ACTION NOW :) You’ll also have my continuous support when you take this course just to make sure you’re successful with it.  If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you’re not completely satisfied with the course.

TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

Who this course is for:

People working in any numerate field which requires data analysis

Students of Environmental Science, Ecology, Biology,Conservation and Other Natural Sciences

People with some prior knowledge of the R interface- (a) installing packages (b) reading in csv files

People carrying out observational or experimental studies.

95% off !! Applied Statistical Modeling for Data Analysis in R #udemy course online #couponcode https://www.udemy.com/applied-statistical-modeling-for-data-analysis-in-r/?couponCode=AUGDISC10

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Data Science:Data Mining & Natural Language Processing in R

MASTER DATA SCIENCE, TEXT MINING AND NATURAL LANGUAGE PROCESSING IN R:

Learn to carry out pre-processing, visualization and machine learning tasks such as: clustering, classification and regression in R. You will be able to mine insights from text data and Twitter to give yourself & your company a competitive edge.    

                              LEARN FROM AN EXPERT DATA SCIENTIST  WITH +5 YEARS OF EXPERIENCE:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals. Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning. This gives students an incomplete knowledge of the subject. Unlike other courses out there, we are not going to stop at machine learning. We will also cover data mining, web-scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data.

                                 NO PRIOR R OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED:

You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R. My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life. After taking this course, you’ll easily use packages like caret, dplyr to work with real data in R. You will also learn to use the common NLP packages to extract insights from text data.   I will even introduce you to some very important practical case studies - such as detecting loan repayment and tumor detection using machine learning. You will also extract tweets pertaining to trending topics and analyze their underlying sentiments and identify topics with Latent Dirichlet allocation. With this Powerful All-In-One R Data Science course, you’ll know it all: visualization, stats, machine learning, data mining, and neural networks!  

The underlying motivation for the course is to ensure you can apply R based data science on real data into practice today. Start analyzing data for your own projects, whatever your skill level and Impress your potential employers with actual examples of your data science projects.

HERE IS WHAT YOU WILL GET:

(a) This course will take you from a basic level to performing some of the most common advanced data science techniques using the powerful R based tools.  

(b) Equip you to use R to perform the different exploratory and visualization tasks for data modelling.  

(c) Introduce you to some of the most important machine learning concepts in a practical manner such that you can apply these concepts for practical data analysis and interpretation.   (d) You will get a strong understanding of some of the most important data mining, text mining and natural language processing techniques.  

(e) & You will be able to decide which data science techniques are best suited to answer your research questions and applicable to your data and interpret the results.

More Specifically, here's what's covered in the course:

Getting started with R, R Studio and Rattle for implementing different data science techniques

Data Structures and Reading in Pandas, including CSV, Excel, JSON, HTML data.

How to Pre-Process and “Wrangle” your R data by removing NAs/No data, handling conditional data, grouping by attributes..etc

Creating data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, and MORE

Statistical analysis, statistical inference, and the relationships between variables.

Machine Learning, Supervised Learning, & Unsupervised Learning in R

Neural Networks for Classification and Regression

Web-Scraping using R

Extracting text data from Twitter and Facebook using APIs

Text mining

Common Natural Language Processing techniques such as sentiment analysis and topic modelling

We will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results.

After each video you will learn a new concept or technique which you may apply to your own projects.

All the data and code used in the course has been made available free of charge and you can use it as you like. You will also have access to additional lectures that are added in the future for FREE.

JOIN THE COURSE NOW!

Who this course is for:

Students wishing to learn practical data science and machine learning in R

Students wishing to learn the underlying theory and application of data mining in R

Students interested in obtaining/mining data from sources such as Twiter

Students interested in pre-processing and visualizing real life data

Students wishing to analyze and derive insights from text data

Students interested in learning basic text mining and Natural Language Processing (NLP) in R.

94% off !!! #udemy #course for #Data #Science :Data Mining & Natural Language Processing in R Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples #coupon #deal https://www.udemy.com/data-science-datamining-natural-language-processing-in-r/?couponCode=DATAMINE1

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VOTE now for the #PeaceJamAlumni Award! http://thndr.me/dvavAV