Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.
What's so special about learning Predictive Analytics With Model Simulation part-1 through Braingroom's Whatsapp Edubots?
When you conventionally learn anything online, you would go on the flow of how the course is structured where in with our Learning Bots you can focus on the areas which you need to by choosing which ones to do on priority with respect to the experiences you've had in your past interviews. Thereby, customizing the bot to your needs.
Data science is the field of study that combines domain intelligence, coding expertise, and proficiency in mathematics & statistics to retrieve actionable insights from the raw data.
Data Science is the area of study which involves extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. The main objective of Data Science is to find patterns within data. It uses various statistical techniques to analyze and draw insights from the data.
Data Science is an interdisciplinary field that allows you to extract knowledge from structured or unstructured data. From data extraction, wrangling and pre-processing, a Data Scientist must scrutinize the data thoroughly.
The term Data Science involves knowledge in various other areas mastering through which one can successfully done the hat of a Data Scientist which are,
- Probability & Statistics
- Multivariate Calculus & Linear Algebra
- Programming, Packages and Softwares
- Data Wrangling
- Database Management
- Data Visualization
- Machine Learning / Deep Learning
- Cloud Computing
- Microsoft Excel
- DevOps
Data Science is vast and hence is easy for a beginner to get lost and lose sight, making the learning experience difficult and frustrating. However, with proper guidance it can become an
easy field to learn about, and one can build a career in the field. Braingroom gives you that kind of a guidance through this nano course to first let you explore and know what Data Science is or how it could pan out if you go deep in it.
Through this course we help you do that by discussing on topics such as,
- Machine learning fresher 1
- Machine learning fresher 2
- Machine learning fresher 3
- Multiple regression 1
- Multiple regression 2
- Multiple regression 3
- Linear 1
- Linear 2
- Linear 3
- Loanpredictor 1
- Loanpredictor 2
- Loanpredictor 3
- Factor 1
- Factor 2
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