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

(12 customer reviews)
Product is rated as #7 in category Data Science

What you’ll learn

  • 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

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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:

  • 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.

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,

Sincerely,

Kirill Eremenko

Who this course is for:

  • 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

12 reviews for Data Science A-Z™: Real-Life Data Science Exercises Included

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  1. Rahul Phatak

    This is an Amazing Course.
    If you want to learn data science then Kirill Eremenko is the best teacher ever.
    After completing course I’ll get confidence and I am able to do all work on my own.

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  2. Said Ali Sajjadi

    Great instructor. This course illustrates the real and behind the scenes parts of a data science career which other courses normally ignore.

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  3. Rostislav

    Breathtaking course with good approach from the begininng till the end. I shave seen bunch of answers in the comment sections, also course take cover all steps of DS.

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  4. Ann Riziki

    Was interested in Data prep & Visualization. This course gave me a basic understanding of the topics & some things to expect in a real life situation.

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  5. Susan Tolbert

    This was a great way to begin to get a feel for the data science career field, my level of interest in it, and the skills required to succeed.

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  6. Brandan Ek

    This is very powerful for those who need to build a solid background in data science!
    I extremely enjoyed learning this course. I strongly recommend it to other students!

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  7. David Bunn

    The addition of actual practical exercises to engage in after doing guided tutorials was extremely useful for me discovering gaps in what I thought I’d learned. It might be a long “intro course”, but it’s clearly quite necessary.

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  8. Kevin Vanderwater

    Great primer so far, have taken a few courses with the instructors (always great). My only suggestion for this and other courses are course mentors that students can ask career oriented questions to.

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  9. Alan Yip

    Nice course covering wide range of concepts of Data Science, with clear and sufficient explanation

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  10. Craig Lundgren

    Very well done course. Great explanations, good examples. It’s a nice general overview of the process. Plus, there are some things in this course, regarding process, that I haven’t seen anywhere else. If you are curious about Data Science, this is a great introduction!

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  11. Darren Kuo

    Really comprehensive contents for the beginner.

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  12. Dylan Skinner

    I took the course on Tableau that SDS put out and LOVED it, so I was pretty excited for this course, but I was let down pretty heavily. I started off with the section about SQL, but I was quickly disappointed when I found out it is very difficult (if not impossible) to do on Mac. Now, it is not the SDS Team’s fault that it does not work for Mac, but there was never any mention of this issue in the videos. I found comments from other people dating back 3 years expressing similar thoughts, but no changes have been made. In the section about building and analyzing models, there is a portion where you use Excel to analyze the model we built in Gretl. There are some Excel short-cuts used that were not explained, and it was VERY difficult to complete the tasks without knowing those short cuts. Again, comments from people dating back 3 years express similar ideas, but no actual changes have been made. The section on Tableau was good, but as mentioned previously I have already done the Tableau course, so I did not really learn anything new.

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

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