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About the course
This is not one of those carefree classes where everything goes according to plan, and your training goes without a hitch. Instead, you are plunged headfirst into this course. MyAssignmenthelp.com’s online courses are totally different.
You will personally feel all of the misery a data science course endures daily in this course. You name it: flawed data, oddities, inconsistencies.
The data science journey will be thoroughly outlined for you in this course. Once you’ve finished this course, you’ll be able to:
- How to tidy up and get your data ready for analysis
- How to perform simple data visualization
- Creating a data model
- Ways to fit curves to your data
- Lastly, how to display your results and impress the audience
After completing this course, the actual world will seem easy to you because you’ve done so many practical activities. You will want to cry because the homework assignments in this course are so tricky and thought-provoking. But you’re not going to give up! You’ll destroy it. You will gain a solid comprehension of the following tools in this course:
Pathways have been established for this course. You can browse the course using these pathways and combine modules to create YOUR PERSONAL journey to gain the abilities YOU NEED.
Alternately, you could finish the programme in its entirety and prepare yourself for a fantastic job in data science.
You are free to decide. But after the course, you will have to say, “MyAssignmenthelp is worth it.”
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Learn today by enrolling in the class!
Beyond technical skills, a data science course nurtures critical thinking and problem-solving abilities, enabling individuals to tackle real-world challenges.
The course includes
- 9 downloadable resources
- 21 hours of on-demand video
- Access for all time
- Mobile and television access
- Completion certificate
What will you learn from the course?
- Successfully complete every stage of a challenging Data Science assignment
- Make fundamental Tableau visualizations
- Use Tableau to carry out data mining
- Recognize how to use the Chi-Squared test in statistics
- Create linear regressions by using the Ordinary Least Squares approach.
- For all sorts of models, evaluate R-Squared.
- For all sorts of models, evaluate the Adjusted R-Square.
- Establish a Simple Linear Regression (SLR)
- Multiple Linear Regression should be created (MLR)
- Make dummy variables
- Interpreting MLR coefficients
- Analyze the models produced by statistical software
- Utilize the Cumulative Accuracy Profile (CAP) to evaluate models.
- Excel formula to create the CAP curve
- To create strong models, use training and test data.
- Use the CAP curve to get a new understanding
- Recognize the odds ratio
- Glean business lessons from a logistic regression’s coefficients
- Recognize the symptoms of model degradation
- To stop model deterioration, implement three levels of model maintenance.
- Setup and use of SQL Server
- Microsoft Visual Studio Shell installation and use
- Data cleaning and anomaly detection
- To upload data into a database, use SQL Server Integration Services (SSIS)
- In SSIS, create conditional splits
- Correct Text Qualifier issues with RAW data.
- Create SQL scripts
- Use SQL in initiatives involving data science
- Create SQL stored procedures
- Show stakeholders your Data Science projects
Who is this course for?
- with a passion for data science
- Anyone looking to develop their data mining abilities
- Anyone who wishes to enhance their capacity for statistical modelling
- Those who desire to become more adept at data preparation
- Anybody who wishes to enhance their data science presentation abilities
- Only a drive for achievement
- Each software utilized in this program is free to download or has a demo version.
There are lots of data science online courses. But most companies do not give students importance; they only care about money.
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