Course Information
Course Overview
Learn how to Solve 3 real Business Problems. Build Robust AI ,Time Series Models for Time Series Analysis & Forecasting
Are you looking to land a top-paying job in Data Science , AI & Time Series Analysis & Forecasting?
Or are you a seasoned AI practitioner who want to take your career to the next level?
Or are you an aspiring data scientist who wants to get Hands-on Data Science and Time Series Analysis?
If the answer is yes to any of these questions, then this course is for you!
This course will teach you the practical skills that would allow you to land a job as a quantitative financial analyst, a data analyst or a data scientist.
In business, Data Science , AI is applied to optimize business processes, maximize revenue and reduce cost. The purpose of this course is to provide you with knowledge of key aspects of data science & Time Series applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.
Welcome to the best online resource for learning how to use the Python programming Language for Time Series Analysis!
This course will teach you everything you need to know to use Python for forecasting time series data to predict new future data points.
1.Task #1 @Predicting the Temperature : Develop an Time Series model to predict Temperature..
3.Task #2 @Predict Covid-19 Cases: Develop Time Series Model using Prophet that can predict Covid-19 cases
2.Task #3 @Predict the Stock Prices: Predict the prices of stock using Time Series Algorithms.
Course Content
- 5 section(s)
- 35 lecture(s)
- Section 1 Introduction
- Section 2 Predict Temperature of Different Cities using Time Series Analysis Algorithms
- Section 3 Predicting Covid-19 Cases using Facebook Prophet
- Section 4 Predict Stock Prices using Automated Time Series Models
- Section 5 Bonus Section
What You’ll Learn
- Carry out time-series analysis in Python and interpreting the results, based on the data in question.
- Forecast the future based on patterns observed in the past.
- Gain Hands-on by solving Real World Use-cases
- Comprehend stationarity and how to test for its existence.
Skills covered in this course
Reviews
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FFaizal Habib Ariansah
subtitle tidak baik
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LLarry Chuon
Great short course of time series analysis with practice real world exercises. The instructor was very responsive to my queries. I love the traditional instructional approach of laying out the agenda and objective and teach it. In the next session, the instructor review what was covered again quickly before repeating the steps above. It's a nice way to let the subject sinks in. I sometimes watch the same video clip a few times before moving one as I might have missed something while typing along. I'm going to move on to the longer TS class after this one.
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AArchita Kannan
I learned a lot in this course which involves real world projects. Thank u for this amazing course.
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NNagendra
Beautiful Explaination, I have read so many Time series Analysis but this lecture cleared all my doubts and gave confidence in applying this method to Real world Data