Online Courses Udemy - Data Analysis for Business and Finance, Learn Data Analysis: Descriptive & Inferential Statistics, Regression Analysis, Time Series and much more! | Created by Saurav Singla
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In these volatile and continuously evolving times, there’s no dearth of data available from multiple sources. Therefore, it becomes imperative that such data is validated and converted into meaningful information that can be used to make optimal decisions.
This course exactly focuses on this and exposes you to various tools and methods that can be used to interpret data and derive information. What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization.
If you are aiming for a career as a Data Scientist or Data Analyst then lay foundation on your Statistics, Regression, Time Series skills are a few things you wish to try and do. It covers the essentials of descriptive, predictive, and prescriptive analytics. It focuses on problem-solving by model development and solution interpretation. Use appropriate Data Analysis techniques for real-world problems and data. Write comprehensive and critical reports evaluating and interpreting obtained results.
So many courses and books just bombard you with the theory, and math, and coding... But they forget to explain, perhaps, the most important part: why you are doing, what you are doing. And that is how this course is so different. We focus on developing an intuitive feel for the concepts behind Data Analysis.
With our intuition tutorials, you will be confident that you understand all the techniques on an instinctive level. This is a game-changer for both business managers and finance professionals who can now learn techniques to maximize their knowledge and skills.
In conclusion, this is an exciting training program filled with intuition tutorials and techniques that can be applied to all sets of data to make decisions that can benefit you in both personal and professional life.
We are super enthusiastic about Data Analysis and hope to see you inside the class!
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