Data Science and Analytics for Beginners and Professionals

From 28.67 £ /h

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.

Extra information

Bring your laptop
Have a working internet

Location

Use Ctrl + wheel to zoom!

At teacher's location :

LM-illustration (Lars Maltha), Hvidovre, Denmark

Online from Denmark

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.

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)

Student level

Beginner

Intermediate

Advanced

Duration

30 minutes