Master Data Analytics, Machine Learning, Statistics, and AI — With Personalized Guidance
Von 25 € /Std
In this course, students will learn how to collect, analyze, and interpret data using modern statistical and computational techniques. You’ll work hands-on with industry-standard tools such as Python and SQL, and learn how to manage, manipulate, and explore large datasets with confidence.
You’ll develop practical skills in data cleaning, data visualization, and exploratory analysis, building a strong foundation for real-world problem-solving. As the course progresses, you’ll be introduced to powerful concepts in machine learning—learning how to build models, uncover patterns, and turn raw data into meaningful insights.
By the end, you’ll know how to use data to make informed, evidence-driven decisions—skills that are essential in today’s job market across business, tech, science, and beyond.
If you’re looking to break into data science, strengthen your analytics skills, or boost your career opportunities, this course will give you the knowledge and confidence to get there.
Book a session today and start your journey into the world of data.
You’ll develop practical skills in data cleaning, data visualization, and exploratory analysis, building a strong foundation for real-world problem-solving. As the course progresses, you’ll be introduced to powerful concepts in machine learning—learning how to build models, uncover patterns, and turn raw data into meaningful insights.
By the end, you’ll know how to use data to make informed, evidence-driven decisions—skills that are essential in today’s job market across business, tech, science, and beyond.
If you’re looking to break into data science, strengthen your analytics skills, or boost your career opportunities, this course will give you the knowledge and confidence to get there.
Book a session today and start your journey into the world of data.
Zusätzliche Informationen
Be ready to learn.
Ort
Beim Lehrer zu Hause :
- Ibadan, Nigeria
- Fest BetterLife design NG Ltd., Lagos, Nigeria
Online aus Nigeria
Alter
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Dauer
60 Minuten
Unterrichtet in
Englisch
Fachkenntnisse
Verfügbarkeit einer typischen Woche
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Der richtige Lehrer Garantie





