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THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN PYTHON!
This course is your complete guide to time series analysis using Python. So, all the main aspects of 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 data in Python, 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 Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.
I have +5 years of experience 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 there do not account for the multidimensional nature of the topic .
Specification: Complete Time Series Analysis With Python
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24 reviews for Complete Time Series Analysis With Python
Add a review
| Price | $14.99 |
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| Provider | |
| Duration | 4.5 hours |
| Year | 2021 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
Mike Smith –
Thank you for providing a hi tech forecaster, this is too much to ask for a lot of trainers on udemy. They’d rather just throw ARIMA at us.
Polly Parks –
Slim on theory but very useful for implementing time series with python
Adam Mistro –
I learnt a lot of new information about time series analysis and techniques to do modifications and manipulation to them. The videos also polished some of my previous knowledge on image processing. Thanks.
Majharul Piash –
Excellent course, provides very good bases for those who start time series analysis in addition to a great practical experience with Python. Thanks from heart.
Amisha Patel –
It was indeed a great course. I have learned enough from this course. Now I am able to use python more proficiently for time series analysis.
Sonia jannat –
Fantastic course, starting from basic fundamentals of statistical forecasting to using Convolutional neural networks. I will use my learning directly to my job.
Radha Sampan –
I really enjoyed this course, especially because it combines all different components (ARM, ARIMA and SARIMA) together in one application. I look forward to taking more courses from udemy.
M ller Antoine –
Great!
S.Sridevi S –
Yes. I gives me good introduction to time series basics so far
Charles Anyanwu –
Really good. It would be exceptional if recent updates were made due to the changes in library package updates. Examples like pd.rolling mean, pd.Series, sklearn cross validations, etc.
Fayssal Hamdi –
Organized and well thought out. Cannot wait to see and learn more.
Prity S –
Slow
Ramesh Jadhav –
getting updated contents. adds to my knowledge base.
Yaminul islam –
This was really a beautifully designed course. They didn’t focused on teaching too much of thing at once but build up the base slowly and strongly for better understanding.
Rubi Rubel –
Very informative course. Time series analysis is not so easy topic. But the instruction made it easy with her decorative lectures, codes and explanations. Recommended.
Nasiruddin Shah –
Wow finally!! I have learned a lot in a short time, very interesting and useful. I will continue learning a lot more about time series with Python, I really like it and I hope to find a related job.
Ramnathan Iyer –
The course contains useful details and the instructor has excellent delivery techniques. I have immensely benefited from the course.
Lwazi Gumede –
It was a bit more advanced than I had anticipated, so it took me a bit longer to get some of the concepts, but it was a brilliant course none the less.
Rita Zimberknopf –
I’m not able to give an opinion yet
Anusha Ayyagari –
extremely disappointing explanation of concepts
ConfizTrainings09 –
Course could have more material on preprocessing part such as EDA, Anomaly detection, Feature Engineering etc.
Ajay Rai –
Very good course to learn as communication skill is extraordinary
Sushil Kumar –
Outstanding course
RKM singh –
Complete time series analysis with Python is a comprehensive course which contains valuable information. The concept has immense potential for practical usage. The instructor is well versed with the subject and her lectures are engrossing.