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Advanced Data Science Course
Improve your Business Intelligence skills with our Advanced Data Science Training. This training is for professionals who want to use information from data to make good decisions. You will learn how to look at sales and stock (inventory), make better predictions using ARIMA, Prophet, and LSTM methods, and clean your data properly before using it. You will also learn how to explain your findings clearly using reports and pictures (visualizations). You will get practical experience in building models and choosing the right features, so you can make informed decisions for your organisation.
- Get useful insights: Learn to give advice based on data to help the business grow.
- Master time series forecasting: Use ARIMA, Prophet, and LSTM to make correct predictions about the future.
- Make data preparation better: Deal with missing information and wrong data points to make your data cleaner.
- Make data exploration better: Find unusual things in the data and understand complicated data structures.
- Communicate clearly: Make easy-to-understand pictures and short reports for the people who need the information.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your Business Intelligence skills with our Advanced Data Science Training. This training is for professionals who want to use information from data to make good decisions. You will learn how to look at sales and stock (inventory), make better predictions using ARIMA, Prophet, and LSTM methods, and clean your data properly before using it. You will also learn how to explain your findings clearly using reports and pictures (visualizations). You will get practical experience in building models and choosing the right features, so you can make informed decisions for your organisation.
Elevify advantages
Develop skills
- Get useful insights: Learn to give advice based on data to help the business grow.
- Master time series forecasting: Use ARIMA, Prophet, and LSTM to make correct predictions about the future.
- Make data preparation better: Deal with missing information and wrong data points to make your data cleaner.
- Make data exploration better: Find unusual things in the data and understand complicated data structures.
- Communicate clearly: Make easy-to-understand pictures and short reports for the people who need the information.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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