# Data Science A-Z - Real-Life Data Science Exercises Included, Certificate

• Application Deadline
• 7 days
Duration
Get Up to 90% Off! Learn Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more in the Data Science A-Z - Real-Life Data Science Exercises Included programme at Udemy!

## About

What Will I Learn In The Data Science A-Z - Real-Life Data Science Exercises Included programme at Udemy?

• Successfully perform all steps in a complex Data Science project
• Create Basic Tableau Visualisations
• Perform Data Mining in Tableau
• Understand how to apply the Chi-Squared statistical test
• Apply Ordinary Least Squares method to Create Linear Regressions
• Assess R-Squared for all types of models
• Assess the Adjusted R-Squared for all types of models
• Create a Simple Linear Regression (SLR)
• Create a Multiple Linear Regression (MLR)
• Create Dummy Variables
• Interpret coefficients of an MLR
• Read statistical software output for created models
• Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
• Create a Logistic Regression
• Intuitively understand a Logistic Regression
• Operate with False Positives and False Negatives and know the difference
• Read a Confusion Matrix
• Create a Robust Geodemographic Segmentation Model
• Transform independent variables for modelling purposes
• Derive new independent variables for modelling purposes
• Check for multicollinearity using VIF and the correlation matrix
• Understand the intuition of multicollinearity
• Apply the Cumulative Accuracy Profile (CAP) to assess models
• Build the CAP curve in Excel
• Use Training and Test data to build robust models
• Derive insights from the CAP curve
• Understand the Odds Ratio
• Derive business insights from the coefficients of a logistic regression
• Understand what model deterioration actually looks like
• Apply three levels of model maintenance to prevent model deterioration
• Install and navigate SQL Server
• Install and navigate Microsoft Visual Studio Shell
• Clean data and look for anomalies
• Use SQL Server Integration Services (SSIS) to upload data into a database
• Create Conditional Splits in SSIS
• Deal with Text Qualifier errors in RAW data
• Create Scripts in SQL
• Apply SQL to Data Science projects
• Create stored procedures in SQL
• Present Data Science projects to stakeholders

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:

• How to clean and prepare your data for analysis
• How to perform basic visualisation of your data
• How to model your data
• How to curve-fit your data
• And finally, how to present your findings and wow the audience
This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:
• SQL
• SSIS
• Tableau
• Gretl

This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.

## Accreditation

• Anybody with an interest in Data Science
• Anybody who wants to improve their data mining skills
• Anybody who wants to improve their statistical modelling skills
• Anybody who wants to improve their data preparation skills
• Anybody who wants to improve their Data Science presentation skills

## Detailed Programme Facts

• Deadline and start date Application deadline and start date were not specified by the programme.
• Programme intensity Part-time
• Average part-time duration 7 days
• Duration description

21 hours on-demand video

• Languages
• English
• Delivery mode
Online
• More information Go to the programme website

## Programme Structure

Courses include:
• Introduction to Tableau
• How to use Tableau for Data Mining
• Advanced Data Mining With Tableau
• Stats Refresher
• Simple Linear Regression
• Multiple Linear Regression

## English Language Requirements

This programme requires students to demonstrate proficiency in English.

## Academic Requirements

• Only a passion for success
• All software used in this course is either available for Free or as a Demo version

## Tuition Fee

• ### International Applies to you

200 EUR/full
Tuition Fee
Based on the original amount of 200 EUR for the full programme and a duration of 7 days.
• ### EU/EEA Applies to you

200 EUR/full
Tuition Fee
Based on the original amount of 200 EUR for the full programme and a duration of 7 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
Udemy continuously offers discounts up to 90% off with full lifetime access to the course. Check the discounts available by clicking "Visit Programme Website".

## Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

### The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, StudyPortals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.