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Wednesday, April 11, 2018

Intro to Data Analysis using EXCEL for Beginners

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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!

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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!

April 11, 2018 0
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!

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

April 11, 2018 0
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

Simulate, understand, & visualize data like a data scientist

April 11, 2018 0
Simulate, understand, & visualize data like a data scientist

Learn how to simulate and visualize data for data science, statistics, and machine learning in MATLAB and Python.

What Will I Learn?
  • Understand different categories of data
  • Generate various datasets and modify them with parameters
  • Use a multitude of data visualization techniques
  • Generate data from distributions, trigonometric functions, and images
  • Understand forward models and how to use them to generate data
  • Improve MATLAB and Python programming skills
Includes:
  • 3.5 hours on-demand video
  • 9 Articles
  • 9 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Ensemble Machine Learning in Python: Random Forest, AdaBoost

April 11, 2018 0
Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python.

What Will I Learn?
  • Understand and derive the bias-variance decomposition
  • Understand the bootstrap method and its application to bagging
  • Understand why bagging improves classification and regression performance
  • Understand and implement Random Forest
  • Understand and implement AdaBoost
Includes:
  • 5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Data Science and Analytics using R programming

April 11, 2018 0
Data Science and Analytics using R programming

Learn to Describe, Visualize and Analyze data using R; Learn basic Statistical Inference and Regression Methods using R.

What Will I Learn?
  • Program using R up to an intermediate level
  • Learn how to use R Studio
  • Learn to install and use packages in R
  • Learn basic statistics
  • Learn how to visualize data in R
Includes:
  • 5.5 hours on-demand video
  • 1 Article
  • 16 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Bite-Sized Data Science with Python and Pandas: Introduction

April 11, 2018 0
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
Includes:
  • 1 hour on-demand video
  • 6 Articles
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Statistics for Business Analytics A-Z™

April 11, 2018 0
Statistics for Business Analytics A-Z™

Learn The Core Stats For A Data Science Career. Master Statistical Significance, Confidence Intervals And Much More!

What Will I Learn?
  • Understand what a Normal Distribution is
  • Understand standard deviations
  • Explain the difference between continuous and discrete variables
  • Understand what a sampling distribution is
  • Understand the Central Limit Theorem
  • Apply the Central Limit Theorem in practice
  • Apply Hypothesis Testing for Means
  • Apply Hypothesis Testing for Proportions
  • Use the Z-Score and Z-Tables
  • Use the t-Score and t-Tables
  • Understand the difference between a normal distribution and a t-distribution
  • Understand and apply statistical significance
  • Create confidence intervals
  • Understand the potential pitfalls of overusing p-Values
Includes:
  • 7 hours on-demand video
  • 2 Articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

24h Pro data science in R

April 11, 2018 0
24h Pro data science in R

Practice data science with 24hs of material using real examples.

What Will I Learn?
  • Do machine learning in R
  • Process data for modelling
Includes:
  • 18.5 hours on-demand video
  • 75 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Introduction to Data Science and Machine Learning

April 11, 2018 0
Introduction to Data Science and Machine Learning

Gain hands-on experience and a deep understanding of data science using a proven step-by-step method

What Will I Learn?
  • Turn business problems into data questions.
  • Automate data collection from from files, APIs and more.
  • Build a complete machine learning system using Docker, PySpark, Elasticsearch and Kibana
  • Process large volumes of data using Apache Spark.
  • Understand when and how to apply supervised and unsupervised learning algorithms.
  • Train a supervised learning model and create predictions.
  • Index processed data into Elasticsearch
  • Perform and share a data analysis in a variety of formats including HTML and PDF.
  • Create an interactive dashboard for data analysis and reporting using Kibana
Includes:
  • 9 hours on-demand video
  • 8 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Learn By Example: Statistics and Data Science in R

April 11, 2018 0
Learn By Example: Statistics and Data Science in R

A gentle yet thorough introduction to Data Science, Statistics and R using real life examples.

What Will I Learn?
  • Harness R and R packages to read, process and visualize data
  • Understand linear regression and use it confidently to build models
  • Understand the intricacies of all the different data structures in R
  • Use Linear regression in R to overcome the difficulties of LINEST() in Excel
  • Draw inferences from data and support them using tests of significance
  • Use descriptive statistics to perform a quick study of some data and present results
Includes:
  • 9 hours on-demand video
  • 132 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

Data Science : Master Machine Learning Without Coding

April 11, 2018 0
Data Science : Master Machine Learning Without Coding

Learn Fundamentals Of Data Science & Machine Learning With Rapidminer (No Coding). Dataset & Solutions Included.

What Will I Learn?

  • Build predictive models using machine learning algorithms without writing a line of software code
Includes:

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

The Comprehensive Statistics and Data Science with R Course

April 11, 2018 1
The Comprehensive Statistics and Data Science with R Course
Learn how to use R for data science tasks, all about R data structures, functions and visualizations, and statistics.

What Will I Learn?
  • Students will understand what R is, and how to input and output data files into their R sessions.
  • Students will know how to manipulate numbers and vectors, and will understand objects and classes.
  • Students will understand how to create data structures in R: vectors; arrays and matrices; lists and data frames.
  • Students will know how to use R as a statistical environment following many examples.
  • Students will understand how to create, estimate and interpret ANOVA, regression, GLM and GAM statistical models with many examples of each.
  • Students will learn how to create statistical and other visualizations using both the base and ggplot graphics capabilities in R.
Includes:
  • 19.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion

R Programming for Statistics and Data Science

April 11, 2018 0
R Programming for Statistics and Data Science

R Programming for Data Science & Data Analysis. Applying R for Statistics and Data Visualization with GGplot2 in R.

What Will I Learn?
  • Learn the fundamentals of programming in R
  • Work with R’s conditional statements, functions, and loops
  • Build your own functions in R
  • Get your data in and out of R
  • Learn the core tools for data science with R
  • Manipulate data with the Tidyverse ecosystem of packages
  • Systematically explore data in R
  • The grammar of graphics and the ggplot2 package
  • Visualise data: plot different types of data & draw insights
  • Transform data: best practices of when and how
  • Index, slice, and subset data
  • Learn the fundamentals of statistics and apply them in practice
  • Hypothesis testing in R
  • Understand and carry out regression analysis in R
  • Work with dummy variables
  • Learn to make decisions that are supported by the data!
  • Have fun by taking apart Star Wars and Pokemon data, as well some more serious data sets
Includes:
  • 5 hours on-demand video
  • 24 Articles
  • 13 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion