Online Courses Update

Udemy - Business Analytics with R for Data Science - Real Exercise! [Free]

Udemy - Business Analytics with R for Data Science - Real Exercise!

Free

Lectures 137
Length 12 hours
Skill Levels All Levels
Languages English
Published 7/2018

Description

Are you planing to take your R Programming skills to the next level?

if you want to work as a data analyst or a data scientist in your industry of choice R Programming is a skill you need ? And why wouldn't you - data scientist is the hottest ranked profession in the US.

Learn by doing Practical Data Analytics!

There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!

This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

This course is Absolutely Hands On!
After each video you will get Study Notes and the Codes what we practice.

In this course you will learn:-

R Basics - Environment Setup, Loop, Function
Vector, Array, Matrix
Data Frames
List, Factor
Import CSV, Text, Excel, Web Data in R
Export CSV, Text, Excel, Web Data
Data Manipulation
Dplyr Package
mutate(), filter(), groupby(), summarise() etc. Fuction deep drive
Data Visualization
Scatter Plot, mfrow, pch, color
Line Chart, Bar Plot, Pie Chart, Histogram, Density Plot, Box Plot, Mosaic Plot, 3D Plot, ggplot 2,
Statistics
Hypothesis Testing Theory
Hypothesis Testing Practical
Chi Square, ANOVA

We also discuss:

How to work with date-times in R
How to prepare data for analysis in R
What the Apply family of functions is
Data Science Job Opportunity etc.

Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp [Free]

Udemy - Advanced Machine Learning & Data Analysis Projects Bootcamp

Free

Lectures 133
Length 20.5 hours
Skill Levels All Levels
Languages English
Published 7/2018

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Description

Dive into a world of data science and analysis with a wide range of examples including the CIFAR 100 image dataset, Xcode development for Apple, Swift coding, CoreML, image recognition, and structuring data with pandas.
This Mammoth Interactive course was funded by a #1 project on Kickstarter
Learn Android Studio, Java, app development, Pycharm, Python coding, Tensforflow and more with Mammoth Interactive.
Build advanced projects using machine learning including advanced the MNIST database with neuron functions. Build a text summarizer and learn object localization, object recognition and Tensorboard.
Machine learning is a machine’s ability to make decisions or predictions based on previous exposure to data and extensive training. In other words, if a machine (program, app, etc.) improves its prediction accuracy through training then it has “learned”.
Learn How Models Work
Computational graphs consist of a network of connected nodes (often called neurons). Each of these nodes typically has a weight and a bias that helps determine, given an input, which path is the most likely.
There are 4 main components to building a machine learning program: data gathering and formatting, model building, training, and testing and evaluating
Data Gathering and Formatting
You will learn to gather plenty of data for the model to learn from.
All data should be formatted pretty much the same (images same size, same color scheme, etc.) and should be labelled. Also divide data into mutually exclusive training and testing sets.
Model Building
You will learn to figure out which kind of model scheme works best and what kinds of algorithms work best for the problem you’re trying to solve.
Training, Testing and Evaluating
The model can choose paths through the neural network or computational graph based upon the inputs for a particular run, as well as the weights and biases of neurons in the network.
In supervised learning, we show the model what the correct outputs are for a given set of inputs and the model alters the weights and biases of neurons to minimize the difference between its output and the correct answer.
Enroll Now to Learn with Mammoth Interactive

What are the requirements?

PyCharm

What am I going to get from this course?

Code in 3 programming languages: Java, Python and Swift
Build nodes and data models for linear regression
Use summarizing mechanisms to handle text data
Test projects on mobile devices
Examine computational graphs
Analyze scalars and histograms
Build neuron functions
Load, convert, and display image and digit data
Describe data with statistics
And much more...

Udemy - Tableau 10: Data Visualization using Tableau [100% Off]

Udemy - Tableau 10: Data Visualization using Tableau

$200 Free 100% Off

Lectures 17
Length 1.5 hours
Skill Levels Beginner Level
Languages English
Published 3/2018

Udemy Coupon Code : FREEMAY2

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Description

Tableau 10 is the best data visualization tool out there. It is highly sought after by Business Intelligence professionals and key decision makers due to its superior data handling and visualization capabilities. Visualizations in today’s world are widely used to discover patterns in data such as customer purchase behaviour, sales trends, or production bottlenecks.

By the year 2020, as the number of connected devices exceeds 50 billion, the world will generate 50 times more data. This data will be important to personal, and business decisions and can help many overcome distinct challenges. People that have the ability to understand and interpret this individual and business data will have a unique opportunity to capitalise on the world’s growing demand for data analysts. Why not get started learning how to use Tableau now instead of a few years from now?

Data visualization is essential in identifying patterns for predictive analytics in a variety of individual and business applications. Through powerful platforms like Tableau, you'll be able to identify consumer behaviours and better understand the factors that influence their decisions.

We invite you to learn how to use Tableau with our easy-to-follow video tutorials and lessons. This course was designed for everyone from beginner to advanced users.

Whether you've never used the program before or if you want to learn a few new tips and tricks, by the end of this course, you'll be a Tableau master! Throughout the course, we'll teach you everything that you need to learn to be a Tableau master, making you a valuable asset to any company.

The course is based on hands-on exercises and tutorials to teach you how to implement visualization techniques to connect different data sources, establish dashboards and successfully deploy a project. Our tutorials are incredibly simple to follow, and the built-in exercises and quizzes will put your skills to the test, giving you practical experience using Tableau. Once you complete the course, you'll have skills that are future-proof, and you will be an expert at communicating stories through data.

Udemy - Excel - Beginners to Advance and Data Analytics. [100% Off]

Udemy - Excel - Beginners to Advance and Data Analytics.

$80 Free 100% Off

Lectures 43
Length 8.5 hours
Skill Levels Beginner Level
Languages English
Published 3/2018

Udemy Coupon Code : FREEMAY2

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Description

Do you want to be a Microsoft Excel Master? Whether you need to learn it for school, you want to manage your finances better, or you want to impress your boss, this is the course for you! Learn directly from the experts all of the basics and advanced concepts that you cannot find in other lessons.

Each tutorial is easy to follow with clear explanations of each of the topics covered. Mastering Microsoft Excel 2016 is designed for anyone that wants to know more about this powerful software platform so whether you’re a beginner, intermediate, or advanced Excel user, you can learn something from this course.

We start out with the basics, focusing on worksheets and the different basic tools that everyone should know to use Excel correctly and efficiently from the start. After that, we'll move onto more intermediate topics such as Functions, Pivot tables, different chart types, “what if” analysis, data interpretation and finally VBA!

We specifically designed this course with practicality in mind. We want to see our students using Excel in their everyday work and personal lives and excel at it. Once you complete the course and all of the quizzes and exercises, you’ll be able to confidently use Microsoft Excel 2016 to do a variety of things.

Learning Microsoft Excel doesn’t need to be difficult; learn everything you need to know with our easy, convenient course!

Udemy - Data Visualization & Analysis In Python: D3.js, HTML & CSS [100% Off]

Udemy - Data Visualization & Analysis In Python: D3.js, HTML & CSS

$185 Free 100% Off

Lectures 36
Length 7.5 hours
Skill Levels Beginner Level
Languages English
Published 3/2018

Udemy Coupon Code : FREENOW

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Description

Data visualization involves the creation and study of the visual representation of data. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics, but if you don’t master data visualization, you will miss the opportunity to explore data.

What if you could change that?

My complete Data Visualization course will show you the exact techniques and strategies you need to read and write data with python, deliver & serve the data, cleaning and exploring data with Pandas and build a simple Tooltip.

For less than a movie ticket, you will get over 4 hours of video lectures and the freedom to ask me any questions regarding the course as you go through it. :)

What Is In This Course?

Your Data Visualization Skills Will Never Be The Same.

Except if you’re an expert at Data Visualization, build a webpage, do heavyweight scraping with scrapy, use Pandas, do dynamic data with flask and visualizing your data with D3, you are going to lose many job/career opportunities or even master data visualization.

As what Al Shalloway, the founder and CEO of Net Objectives, says “Visualizations act as a campfire around which we gather to tell stories.”

This is offered with a 30 days money back guarantee. You can try it with no financial risk.

In This Data Visualization Training, You'll Learn:

A Language-Learning Bridge Between Python And Java Script
Reading And Writing Data With Python
Building A Webpage
Getting Your Data Off The Web With Python
Heavyweight Scraping With Scrapy
Using Python To Consume Data From Web API
Targeting HTML With Xpaths
Cleaning And Exploring Data With Pandas
Learning Numpy
How To Use Pandas
Visualizing Data With Matplotlib
Delivering & Serving The Data
Dynamic Data With Flask
Using Static Or Dynamic Delivery
Delivering Static Files
Visualizing Your Data With D3
Imagining A Nobel Visualization
Understanding D3 –The Story Of Bar Chart
The HTML Skeleton
D3’s Mapping Data Formats, Geo, Projections And Paths
Updating The Map
Building A Simple Tooltip

------------------------------------------------------------------------------------------------------

Is This For You?

Do you want to read and write data with Python?
Are you wondering how to deliver & serve the data?
Do you understand how to clean and explore data with Pandas?

Then this course will definitely help you.

This course is essential to all manual testers, web automation users, software engineers and anyone looking to master Ansible.

I will show you precisely what to do to solve these situations with simple and easy techniques that anyone can apply.

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Why To Master Data Visualization?

Let Me Show You Why To Master Data Visualization:

1. You will read and write data with Python .

2. You will deliver & serve the data.

3. You will clean and explore data with Pandas .

4. You will build a simple Tooltip .

Thank you so much for taking the time to check out my course. You can be sure you're going to absolutely love it, and I can't wait to share my knowledge and experience with you inside it!

Why wait any longer?

Click the green "Buy Now" button, and take my course 00% risk free now!

Udemy - A Beginner's Guide to Data Mining (in Python) [100% Off]

Udemy - A Beginner's Guide to Data Mining (in Python)

$200 Free 100% Off

Lectures 42
Length 3 hours
Skill Levels Beginner Level
Languages English
Published 2/2018

Udemy Coupon Code : 500COUPFREE

Take This Course

Description

In this course, you will learn the basics of Machine Learning and Data Mining; almost everything you need to get started. You will understand what Big Data is and what Data Analytics is. You will learn algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Decision Trees, and Neural Networks. You'll also understand how to combine algorithms into ensembles. Preprocessing data will be taught and you will understand how to clean your data, transform it, how to handle categorical features, and how to handle unbalanced data. By the end of this course, you will understand the ABCs of Data Mining and be able to implement what you've learnt on your own, more specifically, be able to implement what you've learnt on Python. There is no ideal student as there are no prior requirements needed - everybody is welcome!!

Please feel free to ask me any question! Don't like the course? Ask for a 30-day refund!!

Udemy - Data Modelling in Excel Masterclass: Excel Formulas [Free]

Udemy - Data Modelling in Excel Masterclass: Excel Formulas

Free

Lectures 71
Length 9 hours
Skill Levels All Levels
Languages English
Published 1/2018

Take This Course

Description

The Art Science of Excel Modeling is an in-depth exploration of how to plan, design, and maintain superior Excel models. Ideal for consultants, financial analysts, auditors, accountants, managers, and technical professionals seeking to gain a deeper understanding of the “art-science” of data modeling and how it can lead to improved business decisions. Kicking off with a bigger-picture, more philosophical view of spreadsheet design principles, our aim is to inspire critical thinking skills and confidence in an increasingly competitive job market. In our “real world based” case studies, we will explore creative solutions to routine business problems in the business, finance, and accounting world. We will also offer practical guidance for newer challenges arising from the ever-increasing volumes of “big” data that seem to be “pushing the boundaries” that Excel is naturally equipped to handle.

Designed with the intermediate to advanced level Excel user in mind, as well as technical professionals seeking to build better alliances with “the Excel people.” To keep up during this course, we recommend you have a very solid understanding of the basics of the spreadsheet environment. Formula construction and concepts, in particular structured referencing (proper use of the ‘$’ signs) is also extremely helpful.

Udemy - Data analysis to Insights - a step by step framework [Free]

Udemy - Data analysis to Insights - a step by step framework

Free

Lectures 44
Length 1.5 hours
Skill Levels All Levels
Languages English
Published 1/2018

Take This Course

Description

Welcome to our brand new course on Data Analysis: From Data to Insights - a step by step framework. We are glad you have reached here.

If you are or aspiring to be a data analyst, business analyst, financial analyst, BI analyst or just love to play with large data, this course may be a great one for you to start building your expertise in advanced data analysis in Excel.

Analysts are required to play with large data all the time - you need to analyze, aggregate, extrapolate, etc with the data sets to identify meaningful trends in the data. Fortunately, there are lots of tools that can make your work easy if you knew how to use them.

In this course, we teach you how to do all of the above using advanced data analysis tools in Excel - Pivot Tables, Pivot Graphs & Slicers. These are some of the very cool and powerful functionalities in-built in Excel that can help you do your work better.

What makes our course different from others?

This is a project based learning course in which we show you how to do data analysis on real life case study.

Our crisp explanations make the learning journey very engaging and fun at the same time. You will like how our instructor takes you from a blank slate to the most complex data analysis functionalities in Excel in a very cool and gradual way.

You are going to enjoy the teaching pedagogy while carrying out the real life illustrations alongwith the instructor. It's almost somebody is guiding you in person to carry out the various analysis.

And guess what, we respond to any queries within 24 hours of your request. We are always eager to help out students as much we can.

So dont wait any further. Sign up now.

Watch the first lecture (course overview) to know more about the detailed course content and curriculum.

Udemy - Data Analysis with Pandas and Python [100% Off]

Udemy - Data Analysis with Pandas and Python

$200 Free 100% Off

Lectures 174
Length 19 hours
Skill Levels All Levels
Languages English
Published 6/2017

Udemy Coupon Code : FREEPANDAS1

Take This Course

Description

Student Testimonials:

The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. - Diana
This is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality - with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I'm actually surprised at how well done this is. I don't give many 5 stars, but this has earned it so far. - Michael
This course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! - James

Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!

Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include:

installing
sorting
filtering
grouping
aggregating
de-duplicating
pivoting
munging
deleting
merging
visualizing

and more!

Why learn pandas?

If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it "Excel on steroids"!

Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you're a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!

Udemy - Data Analysis In Python & Pandas: Business Data Science [100% Off]

Udemy - Data Analysis In Python & Pandas: Business Data Science

$185 Free 100% Off

Lectures 38
Length 5.5 hours
Skill Levels Beginner Level
Languages English
Published 11/2017

Udemy Coupon Code : FREEZERO

Take This Course

Description

Businesses are constantly looking for data analyst and business analyst to read their huge databases and extract important information from it. Clustering and data management will be easy for you, but if you don’t master data analysis, you are going to lose job and business opportunities to other analyst who can easily do these tasks.

What if you could change that?

My complete Data analysis and business data science training course will show you the exact techniques and strategies you need to use regression for analysis, use both qualitative and quantitative analysis approach, structure big data easily, do data visualization in Python and data wrangling with Numpy.

For less than a movie ticket, you will get over 4 hours of video lectures and the freedom to ask me any questions regarding the course as you go through it. :)

What Is In This Course?

Your Data Analysis Will Never Be The Same.

Except if you’re a great data analyst, can find meaningful information inside of huge databases, can help companies moving forward with data and manage big data, you will need to learn, understand and master these principles clearly, which is what you will find inside this course!

As what Carly Fiorina, president and chair of Hewlett-Packard Co. says “The goal is to turn data into information, and information into insight.”

This is offered with a 30 days money back guarantee. You can try it with no financial risk.

In This Data Analysis Training, You'll Learn:

Process Of Data Analysis
Techniques Of Data Analysis
Big-Data Analysis
Data Management
Methods Of Data Analysis
Qualitative Analysis
Quantitative Analysis
MS Excel & Pandas To Structure Data
Clustering
Data Visualization In Python
Data Wrangling With Numpy
The Best Programming Language
Feminist Approach
Grounded Theory
Data Analysis Using Regression
Best Regression Model

------------------------------------------------------------------------------------------------------

Is This For You?

Do you want to become a data analyst?
Are you wondering how to find meaningful information inside of data?
Do you think you will feel proud being useful to businesses?

Then this course will definitely help you.

This course is essential to all data analyst, business analyst, Excel users and anyone looking to find meaningful information inside huge databases.

I will show you precisely what to do to solve these situations with simple and easy techniques that anyone can apply.

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Why To Analyze & Manage Big Data As A Professional?

Let Me Show You Why To Analyze & Manage Big Data As A Professional:

1. You will master data analysis.

1. You will manage big data.

3. You will structure data effectively.

4. You will use regression for analysis.

Thank you so much for taking the time to check out my course. You can be sure you're going to absolutely love it, and I can't wait to share my knowledge and experience with you inside it!

Why wait any longer?

Click the green "Buy Now" button, and take my course 100% risk free now!

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