Programming Courses

Wednesday, April 11, 2018

Intro to Data Analysis using EXCEL for Beginners

Gabriel April 11, 2018 0

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

Take this course

Mastering Python For Data Analysis Using Pandas & Matplotlib

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Analysis # Data Science Continue Reading

Core Data and Realm - Master Data Persistence for iOS

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Science # Mobile App Development Continue Reading

Data Analysis and Dashboards with Google Data Studio

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Analysis # Data Science Continue Reading

Statistics / Data Analysis: Survey Data and Likert Scales

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Analysis # Data Science Continue Reading

Data Warehouse Development Process

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Science # Data Warehouse Continue Reading

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

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # R # SQL Continue Reading

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

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # PostgreSQL # SQL Continue Reading

Tableau 10 from A to Z™: Practical and Concise

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Analytics # Data Science Continue Reading

Master SQL For Data Science

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Science # SQL Continue Reading

Applied Time Series Analysis and Forecasting with R Projects

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Analysis # R Continue Reading

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

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # matplotlib # Python Continue Reading

Advanced Data Science: Master Deep Web Experiment Analysis!

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # SQL # Tableau Desktop Continue Reading

Data Science: Natural Language Processing (NLP) in Python

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Science # Python Continue Reading

Text Mining and Natural Language Processing in R

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data mining # R Continue Reading

Practical Python Data Science Techniques

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Python Continue Reading

Statistics for Data Science and Business Analysis

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Python Continue Reading

Practical Data Analysis and Visualization with Python

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Analysis # Data Science # Python Continue Reading

Practical Data Science: Reducing High Dimensional Data in R

Gabriel April 11, 2018 0

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

Take this course

Tags Continue Reading

Simulate, understand, & visualize data like a data scientist

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Matlab # Python Continue Reading

Ensemble Machine Learning in Python: Random Forest, AdaBoost

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Machine Learning Continue Reading

Data Science and Analytics using R programming

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Analytics # Data Science # R Continue Reading

Bite-Sized Data Science with Python and Pandas: Introduction

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Pandas # Python Continue Reading

Statistics for Business Analytics A-Z™

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Analytics # Data Science Continue Reading

24h Pro data science in R

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # R Continue Reading

Introduction to Data Science and Machine Learning

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Machine Learning Continue Reading

Learn By Example: Statistics and Data Science in R

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # R Continue Reading

Data Science : Master Machine Learning Without Coding

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # Machine Learning Continue Reading

The Comprehensive Statistics and Data Science with R Course

Gabriel April 11, 2018 0

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

Take this course

Tags # Data Science # R Continue Reading

R Programming for Statistics and Data Science

Gabriel April 11, 2018 0

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

Take this course

Tags # Bestselling # Data Science # R Continue Reading

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Wednesday, April 11, 2018

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