NitroFlare Data Science A-Z™ Real-Life Data Science Exercises Included

Discussion in 'E-Books & Tutorials' started by kocogi, Sep 24, 2015.

  1. kocogi

    kocogi Active Member

    May 29, 2012
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    Udemy - Data Science A-Z™: Real-Life Data Science Exercises Included
    MP4 | Video: 1280x720 | 58 kbps | 44 KHz | Duration: 21 Hours | 6.1 GB
    Genre: eLearning | Language: English

    Data Science training for beginners. Data Mining, Tableau Visualisation, Statistics, Modelling, Analytics, SQL, SSIS

    Extremely Hands-On... Incredibly Practical... Unbelievably Real!

    This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.

    In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!

    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:


    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.

    Or you can do the whole course and set yourself up for an incredible career in Data Science.

    The choice is yours. Join the class and start learning today!

    See you inside,


    Kirill Eremenko
    What are the requirements?

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

    What am I going to get from this course?

    Over 205 lectures and 20.5 hours of content!
    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

    What is the target audience?

    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
    Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
    Download ( NitroFlare )

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