Process and model time series with Python
In a world of ever-changing data, the ability to understand and predict these trends has become invaluable. Time series, present everywhere, from financial markets to meteorology, are at the heart of many strategic decisions. Processing and modeling these time series with Python provides a unique opportunity to extract valuable information, predict the future, and make informed changes.
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The job & training DataKoo Training
Mission
In today’s big data landscape, academic skills, although fundamental, can often prove insufficient in the face of the complexity and dynamics of the professional world. Indeed, the transition from classroom to field reality requires more than a simple theoretical understanding. This is where DataKoo Training’s unique vision comes in.
Bridging the Gap
DataKoo Training’s mission is to build strong bridges between academia and industry. We understand that mastering a subject is not limited to the ability to understand it, but to the ability to apply it effectively to solve concrete problems.
A Focus on Time Series
The field of time series, with its unique blend of mathematics, statistics and real-world understanding, offers an excellent example of this necessity. While the underlying theory can be taught in an academic setting, the nuances of its application in the real world – whether to predict stock market trends, optimizing a company’s supply chain or anticipating climate change – requires a more refined perspective.
The expertise of DataKoo Training
Thanks to a team that combines high-level academics with professionals with years of field experience, DataKoo Training has designed a training that merges the best of both worlds. Our didactic modules are enriched by real case studies, simulations and practical projects. These elements, rooted in current professional challenges, allow learners to live the theory, visualize it in action and manipulate it themselves.
Conclusion
In short, at DataKoo Training, we don’t just teach you time series; we prepare you to become a competent professional, ready to tackle real-world challenges with confidence and expertise.
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🎯 Objectives of the Training
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📚 Course content
Introduction to time series
Learn about time series, their relevance in today’s world, and the various ways they are used in various industries.
Basic forecasting techniques
Discover classic forecasting methods, from simple averages to more sophisticated techniques like ARIMA.
statistical strategy
From regression to neural networks, navigate through advanced techniques to discover hidden patterns.
Approches avancées
Dive into modern time series modeling techniques, including tools like Prophet and machine learning methods.
model evaluation
Familiarize yourself with methods to verify and validate the effectiveness of your predictive models on real data
practical case studies
Apply your knowledge to real-world scenarios, from stock market forecasting to weather trend prediction.
Some figures on the job
Adoption en Growing adoption
0
%
More than 80% of large companies believe that time series skills are crucial for their digital transformation, especially in the areas of finance, health and energy management.
Lucrative skill
0
%
Data science professionals mastering time series modeling with Python can expect an average salary increase of 20% compared to their counterparts without this specialized skill.
growing demand
50
%
The number of jobs requiring time series expertise has grown by 150% over the last five years, reflecting the growing importance of this skill in the current professional landscape.
Format & Prerequisites
One-day Format
1 day format:
Introduction to time series: definition, importance, examples.
Time series manipulation with Pandas.
Visualization of temporal data.
Introduction to modeling methods: notions about ARIMA.
Practical exercise: modelling a simple time series.
Two-day Format
2 day format:
Day 1:
Introduction to time series:
definition, importance, examples.
Time series manipulation with Pandas.
Visualization of time data. Time series decomposition techniques.
Introduction to the Prophet model.
Day 2:
Advanced techniques: ARIMA, SARIMA.
Validation and optimization of models.
Advanced forecasting models.
Practical workshop: work on a complex time series.
Four-day Format
Day 1:
Introduction to time series:
definition, importance, examples.
Handling with Pandas.
Data visualization.
Time series decomposition.
Introduction to the Prophet model.
Day 2:
Advanced techniques: ARIMA, SARIMA.
Model validation and optimization.
Advanced forecasting models.
Practical workshop: work on a complex time series.
Day 3:
Introduction to deep learning models for time series: LSTM.
Management of anomalies and outliers.
Advanced optimization techniques.
Workshop: Application on real cases.
Day 4:
Multivariate techniques for time series.
Time series integration into a production system.
Final project: From acquisition to forecast.
Conclusion, feedback and discussions.
Prerequisite
Basic knowledge of Python and programming. Basic understanding of statistics. Familiarity with database concepts and their manipulation (for example with Pandas).
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🗓 Schedule Your Consultation!
Do you have questions? Do you want to learn more about our courses or discuss a specific project? Schedule a personalized session with our team.
We look forward to collaborating with you and assisting you on your learning journey with Datakoo Training.
🚀 Why Choose Datakoo Training's Course?
proven expertise
Our trainers, with years of experience in the field, combine solid theory and proven practice to offer high-level teaching.
innovative pedagogy
The training is structured around interactive pedagogical approaches, combining real-life case studies, practical workshops, and tutoring sessions, to ensure a deep and applied understanding of the concepts.
market relevance
Designed to meet today’s business needs, our training specifically prepares you for the real challenges of the data world, making you immediately operational.
ongoing support
At Datakoo, your learning goes beyond training. We value lifelong learning and are here to answer your questions in a professional context. Get post-training support and regular updates on our platform. With Datakoo, you have a constant ally in your professional progression.
Do you want to take your skills to the next level today?
Discover the future of data training. With Datakoo, every lesson is an opportunity, every module a step towards excellence. You have the potential; we have the tools. Start your transformation today!