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.
Predict Temperature of Different Cities using Time Series Analysis Algorithms
Predicting Covid-19 Cases using Prophet
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4Introduction to Business Problem & Dataset
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5Analyse Whether Global Warming exists or not
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6Explore Average Temperature of Each Season
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7Perform Data Pre-Processing on your data
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8How to check Whether Data is Stationery or not
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9Examine seasonality in a data
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10Build Time Series Model using Moving Average
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11Intuition behind ARIMA --part 1
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12Intuition behind MA model -- ARIMA part 2
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13Intuition behind AR model -- ARIMA part 3
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14Intuition behind Integrating -- ARIMA part 4
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15Applying ARIMA algorithm on your data
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16How to Cross Validate your Time Series Model?