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Since August 2022
Instructor since August 2022
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Python for data analysis enthusiasts
From 63.32 C$ /h
This course will allow you to have Python language skills for data analysis and visualization.
During this course, you will have the opportunity to use and manipulate the most famous Python libraries such as Numpy, Matplotlib, Seaborn, Pandas, Scikit-Learn, etc. Finally, the methodology is based on familiarization with Python syntax and putting the acquired skills into practice in projects.
Python is the most widely used programming language in the world. It is the reference programming language in the scientific community since it allows the creation of a multitude of scientific applications.
During this course, you will have the opportunity to use and manipulate the most famous Python libraries such as Numpy, Matplotlib, Seaborn, Pandas, Scikit-Learn, etc. Finally, the methodology is based on familiarization with Python syntax and putting the acquired skills into practice in projects.
Python is the most widely used programming language in the world. It is the reference programming language in the scientific community since it allows the creation of a multitude of scientific applications.
Extra information
The participant will need a computer or tablet.
Location
At teacher's location :
- Fresnes, France
Online from France
About Me
With over 4 years of experience in Data Science and over 5 years in Python, my passion for this field really grew during my first programming applications. That's when I decided to specialize in Data Science.
Thanks to my various professional experiences, I had the opportunity to work on various projects, using Python, Deep Learning, and Machine Learning to solve complex problems. I thus acquired expertise across the entire Data Science value chain, from data acquisition and management to the deployment of artificial intelligence models.
I am also an open-minded, responsive and always curious person. For me, constant learning is essential, and I always strive to set ambitious goals to advance in my career.
Thanks to my various professional experiences, I had the opportunity to work on various projects, using Python, Deep Learning, and Machine Learning to solve complex problems. I thus acquired expertise across the entire Data Science value chain, from data acquisition and management to the deployment of artificial intelligence models.
I am also an open-minded, responsive and always curious person. For me, constant learning is essential, and I always strive to set ambitious goals to advance in my career.
Education
Having a master's degree from Sorbonne University - Sciences & Engineering, and a master's degree in Data Sciences & AI. Today I am a Data Scientist at BPCE.
Experience / Qualifications
Data Scientist (Natixis)
Data Scientist (SOCOTEC Monitoring)
Data Scientist (Tunisian Petroleum Activities Company)
Data Scientist (SOCOTEC Monitoring)
Data Scientist (Tunisian Petroleum Activities Company)
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
45 minutes
90 minutes
120 minutes
The class is taught in
French
English
Arabic
Availability of a typical week
(GMT -05:00)
New York
At teacher's location and via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
56.65 C$ /h
This course will allow you to acquire SQL skills for data analysis and management.
During this course, you will have the opportunity to use and manipulate the most well-known SQL features such as joins, subqueries, aggregation functions, filter and grouping clauses, as well as transactions. Finally, the methodology is based on familiarization with SQL syntax and the practice of acquired skills through real-world projects.
SQL is one of the world's most widely used languages for relational database management, and it is essential for efficiently manipulating and extracting data in many fields, including data science and business intelligence.
During this course, you will have the opportunity to use and manipulate the most well-known SQL features such as joins, subqueries, aggregation functions, filter and grouping clauses, as well as transactions. Finally, the methodology is based on familiarization with SQL syntax and the practice of acquired skills through real-world projects.
SQL is one of the world's most widely used languages for relational database management, and it is essential for efficiently manipulating and extracting data in many fields, including data science and business intelligence.
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