from28.38GBP/ h
Data Science and Analytics for Beginners and Professionals
Unearth the Power of Data!
Step into the vibrant world of data science and analytics with this expansive course designed for both newcomers and experienced professionals. Whether you're charting your initial course through the data landscape or honing your analytical expertise, this class seamlessly blends foundational theory with practical application.
Unlock the secrets behind effective data preprocessing, captivating visualization, and insightful statistical modeling. Learn to wield transformative tools like R, SQL, and Tableau, turning raw data into compelling narratives. Guided by Adu, a seasoned data scientist with a rich interdisciplinary background spanning various sectors, you're set for an immersive learning experience.
Join our journey to demystify the multifaceted realm of data. Arm yourself with the essential skills to thrive in our data-centric era and stand out as a versatile data enthusiast.
Have a working internet
Step into the vibrant world of data science and analytics with this expansive course designed for both newcomers and experienced professionals. Whether you're charting your initial course through the data landscape or honing your analytical expertise, this class seamlessly blends foundational theory with practical application.
Unlock the secrets behind effective data preprocessing, captivating visualization, and insightful statistical modeling. Learn to wield transformative tools like R, SQL, and Tableau, turning raw data into compelling narratives. Guided by Adu, a seasoned data scientist with a rich interdisciplinary background spanning various sectors, you're set for an immersive learning experience.
Join our journey to demystify the multifaceted realm of data. Arm yourself with the essential skills to thrive in our data-centric era and stand out as a versatile data enthusiast.
Extra information
Bring your laptopHave a working internet
Location
At teacher's location: LM-illustration (Lars Maltha), Hvidovre, Denmark
Online via webcam









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General info
Age: | Preschool children (4-6 years old) Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
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Student level: | Beginner Intermediate Advanced |
Duration: | 30 minutes 45 minutes 60 minutes 90 minutes |
The class is taught in: | English |
About Me
- Passionate Data Science Guide: Deep love for the world of data and the joy of teaching.- Adaptable Teaching Style: Tailored approach to fit individual student needs and aspirations.
- Interactive Lessons: Hands-on exercises and real-world applications to solidify learning.
- Open Communication: A welcoming environment for all questions, fostering a deep understanding.
- Continuous Feedback: Regular check-ins and reviews to ensure student growth and understanding.
- Ideal Students: Welcomes everyone, from beginners to professionals; affinity for career changers and already-established professionals
- End Goal: Not just teaching techniques but fostering a mindset of continuous learning and curiosity and getting you to the next level.
Education
. Data Science with R Certification- M.S. in Sustainable Forest and Nature Management, Denmark, Sweden
- Bachelor in Forestry and Wood Technology, Nigeria
- SQL Certification, Hackerrank
Experience / Qualifications
- Data Scientist: Expertise in data preprocessing, visualization, and statistical modelling.- Data Analyst Assistant at Swedish University of Agricultural Sciences, Alnarp, Sweden (November 2022 – January 2023): Validated tree height development models and executed validation protocols.
- Summer Research Analyst (Intern) at HP Tech Ventures Group LLC, Remote (May 2022 - July 2022): Led startup evaluation projects and managed extensive startup data.
- Teaching Assistant at Federal College of Education, Pankshin, Nigeria (March 2020 – February 2021): Digitized student results and established a result database.
- Proficiency in tools and software like R, SQL, OpenRefine, Tableau, PowerBI, and Python.
- Skilled in data communication tools such as R Shiny, R Markdown, and PowerPoint.
- Diverse project experience, including online retail store analysis, green growth analytics, and health data analysis.
Ask a question
Send a message explaining your needs and Adu will reply soon:
The more detail, the better.
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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from £28.38At teacher's location
from £28.38Online 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 July 2023
- Phone number verified
- Google connected
Availability of a typical week
(GMT -04:00) New York
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1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | ||
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3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday 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 |
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from £28.38At teacher's location
from £28.38Online 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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