Data Science A-Z™: Real-Life Data Science Exercises Included
Original price was: $84.99.$14.99Current price is: $14.99.
What you’ll learn
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Successfully perform all steps in a complex Data Science project
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Create Basic Tableau Visualisations
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Perform Data Mining in Tableau
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Understand how to apply the Chi-Squared statistical test
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Apply Ordinary Least Squares method to Create Linear Regressions
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Assess R-Squared for all types of models
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Assess the Adjusted R-Squared for all types of models
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Create a Simple Linear Regression (SLR)
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Create a Multiple Linear Regression (MLR)
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Create Dummy Variables
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Interpret coefficients of an MLR
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Read statistical software output for created models
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Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
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Create a Logistic Regression
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Intuitively understand a Logistic Regression
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Operate with False Positives and False Negatives and know the difference
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Read a Confusion Matrix
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Create a Robust Geodemographic Segmentation Model
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Transform independent variables for modelling purposes
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Derive new independent variables for modelling purposes
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Check for multicollinearity using VIF and the correlation matrix
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Understand the intuition of multicollinearity
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Apply the Cumulative Accuracy Profile (CAP) to assess models
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Build the CAP curve in Excel
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Use Training and Test data to build robust models
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Derive insights from the CAP curve
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Understand the Odds Ratio
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Derive business insights from the coefficients of a logistic regression
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Understand what model deterioration actually looks like
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Apply three levels of model maintenance to prevent model deterioration
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Install and navigate SQL Server
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Install and navigate Microsoft Visual Studio Shell
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Clean data and look for anomalies
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Use SQL Server Integration Services (SSIS) to upload data into a database
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Create Conditional Splits in SSIS
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Deal with Text Qualifier errors in RAW data
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Create Scripts in SQL
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Apply SQL to Data Science projects
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Create stored procedures in SQL
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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
Add a review
Original price was: $84.99.$14.99Current price is: $14.99.
Nauman Rasheed –
Amazing course! A great introduction to data sciences and all it facets. Mr. Kirill did an amazing job of structuring and explaining the lessons in a way that makes it fun and easy to learn. The homework assignments were vital in driving home all the points discussed in the lectures. Also, special shoutout to the Mr. Daniel (teaching assistant) whose guidance was extremely valuable in making this a seamless learning experience.
Mohanadassan Subramaniam –
SQL Visual Studio @ SSIS tools may be new to many people. The course was very overwhelming for beginners and feels like breezed through the lessons made it difficult to follow. You may need 2x or 3x more time than suggested by the videos.
You really need to focus and practice many times to understand the technical details been taught.
Parikshit Shinge –
The course is structured very well. This course gives you a complete idea what it is to be a Data Scientist. It covers Data Prep, Data Mining, Model Building using Gretl (-1 point for this), assessing models, presenting tips etc.
It would have been much better if the modelling was done using Python instead of Gretl. Also, I expect “Deployment & automation of ML model” video to be added if possible.
Vijayalaxmi Byahatti –
Exhaustive course. Deep course as well in many places; yet while going to the depth of a certain topic it is simplified for the beginner. As we advance one can appriciate the why the content is organized in a particular fashion. Always covers many related important aspects as you progress to equip the learner as much practically as possible and as much conceptually as possible. Very well thought through, well organized and comprehensive training. When you want to get introduced to the this field and want to take first step to become job ready this course will enable you in quickest possible time yet making you very thorough and enknowledge you about all the possible avenues of next level of expertise.
Phil Rodríguez –
The course gave me a good idea of Data Science. I think the course outlines the different components of Data Science and I can say now that I am more clear as what pathway I want to go. I would say the course is too long for someone who is not committed to stick around for long tutorials.
Bhanu Erraguntla –
Excellent structuring of the course. Good overview for beginners. Suitable examples and exercises.
Heber Jenson –
Great intro into data science. Course helped explain some concepts better than college courses I have taken. Looking forward to taking more classes in the future.
Fraser Sabine –
What an amazing introduction to Data Science from such a personable, enthusiastic and realistic teacher!
Jeorge Atherton –
Nice course. Really liked that it didn’t skip some of the nitty-gritty with cleaning the data. That being said, I would like to see that section broken up a little better so it doesn’t feel like a slog to get through.
Luis Carlos Yllana Kopschina –
O curso é muito bom. Didática excelente. Uma sugestão é a de aumentar os materiais de apoio escritos, como apostilas, para facilitar uma consulta posterior. Parabéns.
Vikas Jha –
Great course! I am a beginner and found it reasonably smooth to follow along. Have also bought a couple of other courses by the same instructor. Will recommend.
Hanzo Tamashii –
I really like the course, some subjects are refreshed and other are discovered for me.