Get yourself trained on Complete Time Series with this Online Training Complete Time Series Analysis With Python.
Online Training Complete Time Series Analysis With Python
THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN PYTHON!This course is yourcomplete guideto time series analysis using Python. So,all the main aspectsof analyzing temporal data will be covered n depth..If you take this course, you can do away with taking other courses or buying books on Python based data analysis. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in in analysing time series datainPython, you can give your company a competitive edge and boost your career to the next level. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:Hey,my name is Minerva Singhand Iam an Oxford University MPhil (Geography and Environment) graduate. I recently finished aPhD at Cambridge University. I have +5 yearsofexperience in analyzing real life data from different sources using data science related techniques and i have produced many publications for international peer reviewed journals.Over the course of my research I realised almost all the Python data science courses and books out theredo not account for the multidimensional nature of the topic . So, unlike other instructors, I dig deep into the data sciencefeatures of R and gives you a one-of-a-kind grounding indata science related topics! You will go all the way from carrying out data reading & cleaning to to finally implementing powerful statistical and machine learning algorithms for analyzing time series data.Among other things:You will be introduced to powerful Python-based packages for time series analysis. You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for time series data. & you will learn to apply these frameworks to real life data including temporal stocks and financial data.NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!Youll start by absorbing the most valuable Python Data Science basics and techniques. I useeasy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. My course willhelp youimplement the methods using REAL DATAobtained from different sources. Many courses use made-up data that does not empower students to implement Python based data science in real-life.After taking this course, youll easily use the common time series packages in Python… Youll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.