from177.86CNY/ h
Business intelligence, data warehouse, Etl, SQL server, star schema or snowflake, power bi
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As a data scientist with in-depth expertise in artificial intelligence, machine learning, deep learning, time series and data mining, I put my skills at your disposal as a data engineer specializing in Business Intelligence within a large company. I offer you comprehensive training covering the entire Business Intelligence pipeline, from data collection to visualization.During these sessions, you will learn:
• The conception and design of data warehouses adapted to your specific needs.
• Data models such as star schema and snowflake to optimize your data structure.
• Practical use of SQL Server as well as other SQL databases to efficiently manage your data.
• Advanced Extraction, Transformation and Loading (ETL) techniques with SSIS to automate processes.
• Creating interactive reports and impactful dashboards with Power BI and DAX or IBM Cognos.
In-depth presentations, based on solid practical experience and up-to-date theoretical knowledge, covering all aspects of the Business Intelligence pipeline.
Concrete and relevant examples, taken from real use cases, to illustrate theoretical concepts and facilitate their understanding.
Please feel free to contact me to discuss your specific needs and to schedule training sessions tailored to your schedule and goals. With this training, you will be ready to take full advantage of your data and make informed strategic decisions.
Location
At student's location: Around Kenitra, Morocco
Online via webcam
At student's location: Around Rabat, Morocco






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General info
Age: | Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 60 minutes |
The class is taught in: | French, English, Arabic |
About Me
Translated by Google. Click to view original.
I am a professional and researcher, I specialize in the areas of Artificial Intelligence, including Deep Learning, Distributed Computing, Big Data and Cloud Computing. With my experience in these fields, I am passionate about exploring and applying innovative technologies to solve complex problems.Holder
a Master's degree specialized in Big Data and Cloud Computing,
a degree in Mathematics and Computer Science.
domain
business intelligence.
Distributed Computing, Parallel Computing,
Data mining
Big data and cloud computing
Artificial intelligence machine learning, deep learning, NLP, Large language model, Computer vision,
Federated learning, Collaborative learning, multi-agent systems
Data driven strategies and solutions.
Ask a question
Send a message explaining your needs and Marouane will reply soon:
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Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
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7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
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from 201.51 CNYOnline via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since March 2024
- Phone number verified
Availability of a typical week
(GMT -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
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0 | |||||||
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2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
14 | Monday at 14:00 | Tuesday at 14:00 | Wednesday at 14:00 | Thursday at 14:00 | Friday at 14:00 | Saturday at 14:00 | Sunday at 14:00 |
15 | Monday at 15:00 | Tuesday at 15:00 | Wednesday at 15:00 | Thursday at 15:00 | Friday at 15:00 | Saturday at 15:00 | Sunday at 15:00 |
16 | Monday at 16:00 | Tuesday at 16:00 | Wednesday at 16:00 | Thursday at 16:00 | Friday at 16:00 | Saturday at 16:00 | Sunday at 16:00 |
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from 201.51 CNYOnline via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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