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Introduction To Data Science Using R Programming

Introduction To Data Science Using R Programming

Learn and master data science concepts using R . Learn both analytics and visualization in one single course.

What Will I Learn?
  • Learn core ceoncepts of R programming
  • Learn to visualize data using R
  • Implement Data science concepts using R
  • Implement statistical models using R

Data Science and Analytics in R Programming

Data Science and Analytics in R Programming

Learn Data Science, Data manipulation with R programming from Scratch.

What Will I Learn?
  • Learn Basic principal of programming
  • How to install R and RStudio
  • How to use RStudio
  • How to create variable, looping and decision making in programming
  • Vectors in R
  • Function and packages in R
  • Learn Matrices and Dataframe of R
  • Data visualization using ggplot2

TABLEAU 2018: Hands-On Tableau Training For Data Science!

TABLEAU 2018: Hands-On Tableau Training For Data Science!

Learn Tableau for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!

What Will I Learn?
  • Install Tableau 2018
  • Connect Tableau to various Datasets: Excel and CSV files
  • Create Barcharts
  • Create Area Charts
  • Create Maps
  • Create Scatterplots
  • Create Piecharts
  • Create Treemaps
  • Create Interactive Dashboards
  • Create Storylines
  • Understand Types of Joins and how they work
  • Work with Data Blending in Tableau
  • Create Table Calculations
  • Work with Parameters
  • Create Dual Axis Charts
  • Create Calculated Fields
  • Create Calculated Fields in a Blend
  • Export Results from Tableau into Powerpoint, Word, and other software
  • Work with Timeseries Data (two methods)
  • Creating Data Extracts in Tableau
  • Understand Aggregation, Granularity, and Level of Detail
  • Adding Filters
  • Create Data Hierarchies
  • Adding Actions to Dashboards (filters & highlighting)
  • Assigning Geographical Roles to Data Elements
  • Advanced Data Preparation

Data Science – The Complete Guide (incl. Python & R)

Data Science – The Complete Guide (incl. Python & R)

Learn how to develop and deploy your data science projects with the most popular end-to-end platform - Anaconda.

What Will I Learn?
  • Understanding the Key Concepts
  • Learn and Understand Python Pandas
  • Learn and Understand Bokeh
  • Learn How to Manage Packages
  • Machine Learning With Scikit-Learn
  • Learn How to Analyze your data efficiently with the most powerful data science stack
  • Learn How to Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda

Bite-Sized Data Science with Python and Pandas: Introduction

Bite-Sized Data Science with Python and Pandas: Introduction

Follow along as we analyze a real-life dataset and learn data science with Python and Pandas.

What Will I Learn?
  • Manipulate and transform data series and tables in Python
  • Build a multiple regression model in Python
  • Use iPython Notebook for research and analysis in Python
  • Visualize data to glean insights from it, in Python

TABLEAU 2018 ADVANCED: Master Tableau in Data Science

TABLEAU 2018 ADVANCED: Master Tableau in Data Science

Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!

What Will I Learn?
  • Create and use Groups
  • Understand the difference between Groups and Sets
  • Create and use Static Sets
  • Create and use Dynamic Sets
  • Combine Sets into more Sets
  • Use Sets as filters
  • Create Sets via Formulas
  • Control Sets with Parameters
  • Control Reference Lines with Parameters
  • Use multiple fields in the colour property
  • Create highly interactive Dashboards
  • Develop an intrinsic understanding of how table calculations work
  • Use Quick Table calculations
  • Write your own Table calculations
  • Combine multiple layers of Table Calculations
  • Use Table Calculations as filters
  • Use trendlines to interrogate data
  • Perform Data Mining in Tableau
  • Implement Advanced Mapping Techniques
  • Understand Level Of Details

From 0 to 1 : Spark for Data Science with Python

From 0 to 1 : Spark for Data Science with Python

Get your data to fly using Spark for analytics, machine learning and data science​.

What Will I Learn?
  • Use Spark for a variety of analytics and Machine Learning tasks
  • Implement complex algorithms like PageRank or Music Recommendations
  • Work with a variety of datasets from Airline delays to Twitter, Web graphs, Social networks and Product Ratings
  • Use all the different features and libraries of Spark : RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming and GraphX

A Hands- on Course in Data Science: Regression & EDA |Python

A Hands- on Course in Data Science: Regression & EDA |Python

Fundamentals of Data Science : Exploratory Data Analysis (EDA), Regression (Linear & logistic), Visualization, Basic ML.

What Will I Learn?
  • You will be able to apply data science algorithms for solving industry problems
  • You will have a clear understanding of industry standards and best practices for predictive model building
  • You will be able to derive key insights from data using exploratory data analysis techniques
  • You will be able to efficiently handle data in a structured way using Pandas
  • You will have a strong foundation of linear regression, multiple regression and logistic regression
  • You will be able to use python scikit-learn for building different types of regression models
  • You will be able to use cross validation techniques for comparing models, select parameters
  • You will know about common pitfalls in modeling like over-fitting, bias-variance trade off etc..
  • You will be able to regularize models for reliable predictions

Learn Data Science with Python

Learn Data Science with Python

What Will I Learn?
  • Will get complete knowledge of Data Science
  • learn essential tool for various types of analysis to get key insights from data and to make key decisions
  • learn to play with data and to extract key information using various Python functions and constructs.
Requirements
  • No previous technical knowledge required
  • Access to the Internet & a Machine(PC/Laptop) to solve exercises
  • An open mind and a willingness to learn something new and interesting

Probability and Statistics for Business and Data Science

Probability and Statistics for Business and Data Science
Learn how to apply probability and statistics to real data science and business applications!

What Will I Learn?
  • Understand the basics of probability
  • Be able to implement basic statistics
  • Understand how to use various statistical distributions
  • Apply statistical methods and hypothesis testing to business problems
  • Understand how regression models work
  • Implement one way and two way ANOVA
  • Understand Chi Squared Tests
  • Be able to understand different types of data

Introduction To Data Science

Introduction To Data Science

Use the R Programming Language to execute data science projects and become a data scientist.

What Will I Learn?
  • Start and execute the steps of a data science project, from project definition to model evaluation.
  • Use machine learning techniques to build effective predictive models.
  • Learn how to find and correct common problems found in real world data.
Includes
  • 6 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Intro to Data Science: Your Step-by-Step Guide To Starting

Intro to Data Science: Your Step-by-Step Guide To Starting

Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks!

What Will I Learn?
  • The entire Data Science process
  • Cloud concepts & application in Data Science
  • Database concepts
  • Statistics fundamentals as needed in Data Science
  • Visualizations for data mining and presentation
  • An overview on Statistical Learning
  • The essentials of Machine Learning
  • More advanced Python to apply to Data Science

Data Science for Business™: Financial Sectors

Data Science for Business™: Financial Sectors

Learn how data science can model and estimate the joint dynamics of the markets | Financial Data Science | Data Science

What Will I Learn?
  • Understand the advantages of data science and specific analytical methods
  • Discover how finance professionals can use data science to solve real-world problems
  • Understand why data is your single most powerful tool
  • The Importance of data analysis In financial sectors
  • Understand Algorithmic trading
  • Understand Human-in-the-loop trading
  • Automated Application Reviews for Loans & Credit
  • Data Science & Cryptocurrencies
  • Correlation & Causality in Economic Data
  • Data science for Fraud Detection

Data Science for Business™: Boost Your Profits & Performance

Data Science for Business™: Boost Your Profits & Performance

Learn to use data science to increase profits, beat competitors & create happy customers. | Data Science | Data Analysis.

What Will I Learn?
  • Learn what is data science and how it will transform your business
  • The importance of data analysis in business
  • How to apply data science to retail, marketing & sales
  • How to conduct data analysis for your business
  • Learn how to analyze customer sentiment
  • Explore market segmentation
  • Learn to evaluate Leads & Customers
  • Learn how to use Recommendation Engines
  • Learn how to apply Dynamic Princing
  • Learn how you can use data science to predict trends

The Data Science Course 2018: Complete Data Science Bootcamp

The Data Science Course 2018: Complete Data Science Bootcamp

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning.

What Will I Learn?
  • The course provides the entire toolbox you need to become a data scientist
  • Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
  • Impress interviewers by showing an understanding of the data science field
  • Learn how to pre-process data
  • Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
  • Start coding in Python and learn how to use it for statistical analysis
  • Perform linear and logistic regressions in Python
  • Carry out cluster and factor analysis
  • Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Apply your skills to real-life business cases
  • Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
  • Unfold the power of deep neural networks
  • Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
  • Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations

Includes
  • 16.5 hours on-demand video
  • 36 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

The Unreal Engine Developer Course - Learn C++ & Make Games

The Unreal Engine Developer Course - Learn C++ & Make Games


Learn C++ from scratch. How to make your first video game in Unreal engine. Gain confidence in programming.

What Will I Learn?
  • Learn C++, the games industry standard language.
  • Develop strong and transferrable problem solving skills.
  • Gain an excellent knowledge of modern game development.
  • Learn how object oriented programming works in practice.
  • Gain a more fundamental understanding of computer operation.
Includes:

  • 59 hours on-demand video
  • 7 Articles
  • 10 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Shader Development from Scratch for Unity with Cg

Shader Development from Scratch for Unity with Cg

Learn to program the graphics pipeline with Unity's Shaderlab for creating unique visual surfaces for game objects.

What Will I Learn?
  • Use Unity Shaderlab to create their own shader effects with CG/HLSL.
  • Apply their knowledge of simple mathematics to change the visual surface of virtual objects.
  • Work with mesh vertices and textures to develop unique rendering effects.
  • Demonstrate a knowledge of the graphics pipeline and apply it to problem solving shading issues.
Includes:
  • 6 hours on-demand video
  • 21 Articles
  • 48 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Practical iOS 11: What's New in iOS 11, Swift 4 and Xcode 9

Practical iOS 11: What's New in iOS 11, Swift 4 and Xcode 9

Learn all the new APIs including ARKit (Artificial Reality), Machine Learning and Vision Framework - App Development.

What Will I Learn?
  • You will know all the new APIs added to iOS 11 and Xcode 9 new features.


Description
iPhone Development Course

What’s New in IOS 11, Swift 4 and Xcode 9

In this course you are going to learn some of the new features added to iOS 11 and Xcode 9. We are going to create multiple apps that focus on each of the new features. Some of these new features include;

New Xcode Features

Xcode has lots of new features and we’ll be taking a look at some of the new exciting features and how to take advantage of them to make you a better coder. These features include structure highlighting, method extraction, easy renaming, github integration etc.

ARKit

Artificial Reality app used to take thousands of lines of code and complex algorithm to achieve but with the new iOS 11 ARkit, it takes only few lines of code to make an AR app.

Machine Learning

Machine learning is gaining traction in the computer industry and there’s no better time to learn machine learning and how to develop an app that take advantage of it. We’ll develop a simple app that can recognise dominant object in a photo and an app that can recognise the faces of the people in a photo

Drag and Drop

iOS 11 allows user to drag and drop content within one app and also between two different apps. We’ll develop a basic app that allows dragging text from one part to another part.

Vision

We’ll develop an app that allows you to track real world object directly through your phone’s camera. This is a nice feature.

Many more.

We’ll be diving into Natural Language Processing, SiriKit, PDFKit, Apple Music integration, new camera APIs, new Files app and so on…

Now’s the best time to learn iOS 11, Swift 4 and Xcode now before the official release of the public version to the users.

Create FULL INSTAGRAM Clone with Swift & Xcode. Be advance

Create FULL INSTAGRAM Clone with Swift & Xcode. Be advance

Learn how to create real full clone of Instagram using Swift and Xcode. Learn how to create your own social network!

What Will I Learn?
  • Create a real full Instagram app ready-to-publish in App Store
  • Be able to create your own social app
  • Be able to realize your idea
  • Be able to create twitter, flickr, tumbler, vine, mamba, etc
  • Code user interface and let it work exactly same as Instagram
  • Learn how to create Chat App
  • How to register user
  • How to login
  • How to logout
  • Remember logged in user, as logged in
  • Reset password to registered email
  • Receive confirmation email of registration
  • Create regular expressions "regex"
  • Receive informations from server
  • Send informations to server
  • Make programmatically constraints and adjust your app for all devices
  • Make programmatically alignment for all screen sizes
  • Learn designing step by step
  • Learn logic of designs
  • Design your app
  • Design buttons
  • Work with custom fonts
  • Customize your app
  • Design icons
  • Create #hashtags in app, working exactly same as in Instagram
  • Create @mentions in app, working exactly same as in Instagram
  • Give likes, exactly same as in Instagram
  • Double tap on picture to like it
  • Dislike if you want
  • Create chat function
  • Create home page of user
  • See your posts in your home page
  • Go to some certain post by tapping on it
  • Write comments under posts
  • Complain comments or posts
  • Delete posts IF post belongs to you
  • Delete comments IF comment belongs to you or written under your post
  • See all your followers and people you are following
  • Follow and unfollow people
  • Go guest - go to home page of other users, and see their information, posts, etc
  • Be able to edit your personal and private information
  • Upload a pictures
  • Make a posts
  • Pagination function - additionally downloads more data from server depending on your scrolling
  • Be able to go to certain #hashtag
  • See all #hashtagged posts
  • See posts of all people you are following
  • Search users not only by username, but also by full-name and see most popular of them
  • Receive news feed notifications
  • See who liked your post, who commented your post, who followed you, who @mentioned you
  • Show date of your post or comment you made
  • and many many more!
Description
Are you here because you want to build your own apps?
So, you are in the right place at the right time, my friend!
You want to create Complete Full Instagram Clone, or maybe Twitter, Facebook, Flickr, Tumblr or WhatsApp?
You tired from courses that don't make you professional at completion and don't give you what you've expected.

Complete C# Unity Developer 2D - Learn to Code Making Games


Game development & design. Learn C# using Unity 4.6, 5 & 2018. Your first 2D Unity games for web, Mac & PC.

What Will I Learn?
  • Learn C#, a powerful modern language, from scratch. No prior programming experience is necessary.
  • Become excellent at using the Unity game engine.
  • Build a solid foundation for game design and game development that will help you build your own games.
  • Learn how object oriented programming works in practice.
  • Personally create playable game projects - good for your portfolio, or just for your own sense of achievement.
  • Transfer your knowledge to .NET, other languages, and more.
  • Develop highly transferable coding problem solving skills.
  • Be part of an amazing and supportive community of people similar to you.

Includes:
  • 53 hours on-demand video
  • 21 Articles
  • 40 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Python Django Web Development: To-Do App

Learn Database Driven Web Development With Django and Python!

Python Django Web Development: To-Do App

What Will I Learn?
  • Introductory Django
  • How to Build Database Driven Websites With Django
  • Download and Install Python
  • Install Django
  • How To Manage URL's
  • How to Create Views/Pages
  • How to Use Static Image Files
  • How to Use Templates
  • Basic CSS with Bootstrap 4.1
  • How To Use Databases With Django
Includes:
  • 2 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Description
Django and Python can seem overwhelming at first, but they don't have to be! In this course I’ll walk you through it step by step and you’ll be building your first web app in MINUTES. You’ll be amazed how quick and easy it is to create very professional looking websites, even if you have no programming or web design experience at all.

Watch over my shoulder as I build a cool To-Do List app step by step right in front of you. You’ll follow along and build your own copy. By the time we’re finished, you’ll have a solid understanding of Django and how to use it to build awesome web apps.

The course contains 28 videos – and is just over 2 hours long. Watch the videos at your own pace, and post questions along the way if you get stuck. You don’t need any special knowledge or software to take this course, though any experience with HTML or CSS is a plus. You don’t even need to know the Python programming language. I’ll walk you through EVERYTHING.

Django is a great web development tool and learning it has never been this easy.


Intro to Data Analysis using EXCEL for Beginners

Intro to Data Analysis using EXCEL for Beginners

Learn to apply the important concepts and techniques in data analysis using Excel.

What Will I Learn?
  • Confidently use the most crucial Excel functions and techniques for analysis
  • Correctly use the appropriate charts in Excel
  • Apply analysis techniques to datasets in Excel
  • Navigate their way around Excel
  • Manipulate and prep datasets in Excel
  • Build presentation ready dashboards in Excel
  • Create your own formulas in Excel
  • Turn real world data into business insights in Excel
Includes:
  • 11.5 hours on-demand video
  • 3 Articles
  • 168 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Mastering Python For Data Analysis Using Pandas & Matplotlib

Mastering Python For Data Analysis Using Pandas & Matplotlib

Start your career in Data Analysis and become a skilled Data Analyst without any prior knowledge or experience required!

What Will I Learn?
  • Learn to create data Pre-processing techniques - handling missing data, grouping by, aggregating, merging ... etc
  • Learn how to use pandas to access and analyze data.
  • Learn how to handle any type of data (financial, health care ...etc).
  • Learn how to manipulate data sets quickly and efficiently.
  • Learn how to handle different file types (Excel files, CSV files, JSON files ...etc).
  • Learn how to analyze time-series data.
  • Learn how to use matplotlib library to create amazing data visualization.
Includes:
  • 4.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Core Data and Realm - Master Data Persistence for iOS

Core Data and Realm - Master Data Persistence for iOS

Learn to use Core Data, Realm, UserDefaults, NSCoder, iOS File System.

What Will I Learn?
  • Build apps that use Core Data for local device storage
  • Build apps that save user data
  • Understand the differences between Realm and Core Data and work with both
Includes:
  • 7.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Data Analysis and Dashboards with Google Data Studio

Data Analysis and Dashboards with Google Data Studio

Learn how to create powerful data analysis and dashboards with Google Data Studio for your Google Sheets.

What Will I Learn?
  • Learn from an Instructor with over 10 years teaching Data Analysis and Dashboard Design
  • Create Powerful Interactive Dashboards from Google Sheets Data in Minutes
  • Analyze Google Sheets in minutes using powerful visualizations
  • Create Year to Date, Month to Date, Week to Date Calculations with the click of the mouse
  • Share Reports and Dashboards of Sales data
  • Create powerful scorecards displaying Key Metrics and KPIs
  • Create Time Series graphs that easily display Month to Date, Previous Month and many more
  • Display comparisons to Previous Periods
  • Create filters to easily create interactive dashboards, graphs and reports
  • Learn powerful visualizations such as Column, Bar, Pie, Scatterplot
Includes:
  • 2.5 hours on-demand video
  • 33 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Statistics / Data Analysis: Survey Data and Likert Scales

Statistics / Data Analysis: Survey Data and Likert Scales

How to Process Survey Data and Analyze Likert Scales In SPSS.

What Will I Learn?
  • Process Survey Data Effectively and Confidently in SPSS
  • Easily Locate Data Entry Errors in SPSS Using Appropriate Statistical Techniques
  • Use Syntax to Quickly Perform a Number of Different Analyses in SPSS
  • Understand the Benefits (and Ease) of Using Syntax in SPSS (not required to be used in this course, but extremely advantageous)
  • How to Calculate and Interpret a Reliability Coefficient in SPSS
  • How to Process Variables into new Dichotomous Variables such as with a Multiple Choice Test (has many useful applications)
  • How to Recode Variables in SPSS, such as Negative Items on a Likert Scale
  • How to Add Variables Together in SPSS to Create Total (Composite) Scores
  • How to Identify Positive and Negative Items on a Likert Scale
  • Learn How to Perform and Interpret a Number of Analyses in SPSS, Including Frequencies, Descriptives, and Correlation
Includes:
  • 3 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Data Warehouse Development Process

Data Warehouse Development Process

What Will I Learn?
  • Understand various stages in Data Warehouse development process
  • Various processes like Waterfall model, V model and Agile methods
  • Specific aspects of Data Warehouse development process
  • Importance of the various phases and the practicality of each phase
  • Overview of various issues and Project Management issues to be considered in the Data warehouse and Business Intelligence projects
Includes:
  • 4 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

R Data Pre-Processing & Data Management - Shape your Data!

R Data Pre-Processing & Data Management - Shape your Data!

Learn how to prepare your data for great analytics in R.

What Will I Learn?
  • import data into R in several ways while also beeing able to identify a suitable import tool
  • select and implement a proper object class (data.frame, data.table, data_frame)
  • convert your data into (and understand) a tidy data format
  • filter and query your data based on a wide range of parameters
  • join 2 data tables together with dplyr 2 table verb syntax
  • use SQL code within R
  • translate basic R into SQL
  • work with dates and time
  • work with strings using regular expressions
  • detecting outliers in datasets
Includes:
  • 4 hours on-demand video
  • 10 Articles
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL

SQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL

Learn Both SQL Server & PostgreSQL By Doing. Enhance Your Data Analytics Career With Real World Data Science Exercises.

What Will I Learn?
  • Create basic SQL Queries
  • Create advanced SQL Queries
  • Create Left, Right, Inner and Full Outer joins
  • Create new tables, alter existing tables in Databases
  • Normalize Databases
  • Understand database design
  • Understand first, second and third normal form schemas
Includes:
  • 12.5 hours on-demand video
  • 2 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Tableau 10 from A to Z™: Practical and Concise

Tableau 10 from A to Z™: Practical and Concise

Master Tableau, the most popular software for data analytics, data visualization, data science and business intelligence.

What Will I Learn?
  • Master the Tableau software
  • Build data dashboards and reports
  • Organize your data efficiently
  • Display your data and tell a story
  • Become a better data scientist
Includes:
  • 3 hours on-demand video
  • 7 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Master SQL For Data Science

Master SQL For Data Science

Become a SQL query wizard and never be afraid to look at a large SQL query again!

What Will I Learn?
  • Write complex SQL statements to query the database and gain critical insight on data
Includes:
  • 9 hours on-demand video
  • 1 Article
  • 2 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion

Applied Time Series Analysis and Forecasting with R Projects

Applied Time Series Analysis and Forecasting with R Projects

Use R to work on real world time series analysis and forecasting examples. Applied data science with R.

What Will I Learn?
  • Perform standard time series analysis tasks
  • Get ARIMA and exponential smoothing models in R
  • Do forecasting in R
  • Work with irregularly spaced time series
  • Model time series with trend and seasonality
  • Scrape stock data from yahoo finance
  • Import different types of time series data
  • Use automatic model selection in R
  • Select the best packages for time series analysis in R
Includes:
  • 2.5 hours on-demand video
  • 4 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Make 2D & 3D Graphs in Python with Matplotlib for Beginners!

Make 2D & 3D Graphs in Python with Matplotlib for Beginners!

A data science masterclass for beginners! Learn data visualization by making graphic bars and diagrams. Code in Python.

What Will I Learn?
  • Code in the Python 3.5 programming language.
  • Make games with Python.
  • Create basic line and scatter plots with Matplotlib 1.5.
  • Read finance data directly from Yahoo.
  • Customise our graphs with visuals, a title, labels, text and a legend.
  • Recognize types of visualization: histograms, pie charts, and box and whisker plots.
  • Make candlestick plots.
  • Understand figures and subplots.
  • Perform in-depth customization of plot structure
  • Understand basic 3D plotting.
Includes:
  • 27 hours on-demand video
  • 3 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Advanced Data Science: Master Deep Web Experiment Analysis!

Advanced Data Science: Master Deep Web Experiment Analysis!

Become the data scientist in demand by learning much deeper and agile experiment analysis methods using SQL and Tableau!

What Will I Learn?
  • Understand the key underlying concepts for advanced experiment analytics
  • Build the back end and front end for a deep and agile experiment analytics dashboard
  • Understand the general strategy for how to explore experimental metrics.
Includes:
  • 5 hours on-demand video
  • 4 Supplemental Resources
  • 13 Coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Data Science: Natural Language Processing (NLP) in Python

Data Science: Natural Language Processing (NLP) in Python

Complete guide to practical NLP: spam detection, sentiment analysis, article spinners, and latent semantic analysis.

What Will I Learn?
  • Write your own spam detection code in Python
  • Write your own sentiment analysis code in Python
  • Perform latent semantic analysis or latent semantic indexing in Python
  • Have an idea of how to write your own article spinner in Python
Includes:
  • 5.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Text Mining and Natural Language Processing in R

Text Mining and Natural Language Processing in R

Hands-on text mining and natural language processing (NLP) training for data science applications in R.

What Will I Learn?
  • Students will be able to read in data from different sources- including databases
  • Basic webscraping- extracting text and tabular data from HTML pages
  • Social media mining from Facebook and Twitter
  • Extract information relating to tweets and posts
  • Analyze text data for emotions
  • Carry out Sentiment analysis
  • Implement natural language processing (NLP) on different types of text data
Includes:
  • 8.5 hours on-demand video
  • 1 Article
  • 6 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion

Practical Python Data Science Techniques

Practical Python Data Science Techniques

Learn practical solutions to Data Science problems with Python.

What Will I Learn?
  • Perform Exploratory data analysis on your Data
  • Clean and process your Data to have the right shape
  • Tokenize your Document to words with Python
  • Calculate the word frequencies using Data Science Techniques of Python
  • Work with scikit-learn to solve every problem in Machine Learning
  • Perform Cluster Analysis using Python Data Science Techniques
  • Build a Time Series Analysis with Panda
Includes:
  • 2.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Statistics for Data Science and Business Analysis

Statistics for Data Science and Business Analysis

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis.

What Will I Learn?
  • Understand the fundamentals of statistics
  • Learn how to work with different types of data
  • How to plot different types of data
  • Calculate the measures of central tendency, asymmetry, and variability
  • Calculate correlation and covariance
  • Distinguish and work with different types of distributions
  • Estimate confidence intervals
  • Perform hypothesis testing
  • Make data driven decisions
  • Understand the mechanics of regression analysis
  • Carry out regression analysis
  • Use and understand dummy variables
  • Understand the concepts needed for data science even with Python and R!
Includes:
  • 4.5 hours on-demand video
  • 26 Articles
  • 90 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Practical Data Analysis and Visualization with Python

Practical Data Analysis and Visualization with Python

Data Analytics, Visualization and Data Science for Everyone. Build Machine Learning Models to Solve Day-to-Day Problems.

What Will I Learn?
  • Understand the logic behind machine learning models without strain
  • Build forecasting models with machine learning
  • Analyze customer satisfaction
  • Analyze bank statements
  • Classify images
  • Learn how to preprocess data
  • Develop classification models
  • Build Fraud Detection models
  • Logistic Regression models
  • k-nearest neighbor models
  • Random Forest Models
  • Support Vector Machines
  • Learn NumPy package
  • Learn Pandas package
  • Learn Scikit-learn
  • Filter and Slice datasets
  • Visualize data with Matplotlib
  • Visualize data with Seaborn
  • Get comfortable creating Pie charts, Donut charts, Bar charts, Line charts, Scatter plots and more
  • Read data from Google Sheets
  • Splitting data into training and test sets
  • Classify objects with Naive Bayes
  • Develop supervised learning models
  • Linear Regression models
Includes:
  • 4.5 hours on-demand video
  • 31 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Practical Data Science: Reducing High Dimensional Data in R

Practical Data Science: Reducing High Dimensional Data in R

In this R course, we'll see how PCA can reduce a 5000+ variable data set into 10 variables and barely lose accuracy!

What Will I Learn?
  • Understand various ways of reducing wide data sets
  • Understand Principal Component Analysis (PCA)
  • Control, tune and measure the effects of PCA
  • Use GBM modeling to measure the effectiveness of PCA
  • Reducing dimensionality with classic GBM & GLMNET Variable Selection
  • Use ensembling techniques to find the most stable variables
Includes:
  • 2.5 hours on-demand video
  • 5 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

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