Time Series Analysis Real world use-cases in python
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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 @Predict closing Price of Bitcoin : Develop an Time Series model to predict closing price of Bitcoin
2.Task #2 @Predict Number of Births: Develop Time Series Model to predict number of births on a particular day…
3.Task #3 @Predict the Stock Prices: Predict the prices of stock using Facebook Prophet..
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5Introduction to Business ProblemVideo lesson
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6Dataset & resourcesText lesson
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7Prepare your data for AnalysisVideo lesson
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8What is re-sampling & how to perform it..Video lesson
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9Perform In-depth Analysis on Data..Video lesson
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10What is trend & how to analyse trend of closing price..Video lesson
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11Building a Base-line Model..Video lesson
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12What is seasonality & stationarity & how to examine it.Video lesson
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13Performing Statistical Test to detect Stationarity..Video lesson
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14How to Smoothen your seriesVideo lesson
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15Build model using Facebook ProphetVideo lesson
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16How to cross validate your Facebook Prophet model..Video lesson
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17Dataset & resourcesText lesson
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18Understanding distribution & trend of data..Video lesson
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19What is rolling & how to perform rollling on our data..Video lesson
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20Building a naive model & evaluate it..Video lesson
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21Intuition behind ARIMA --part 1Video lesson
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22Intuition behind MA Model-- ARIMA part 2Video lesson
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23Intuition behind AR model -- ARIMA part 3Video lesson
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24Intuition behind Integrating -- ARIMA part 4Video lesson
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25Building a ARIMA Model..Video lesson
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26What is Normalization & How to normalize your data..Video lesson
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27How to Featurize your Data.Video lesson
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28Performing Dickey Fuller Test on DataVideo lesson
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29How to Hypertune your Time Series ModelVideo lesson
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