Zach - Data analysis tutor -
Zach - Data analysis tutor -

Zach's profile and contact details have been verified by our team

Zach

  • Rate R772
  • Response 24h
  • Students

    Number of students Zach has accompanied since joining Superprof

    50+

    Number of students Zach has accompanied since joining Superprof

Zach - Data analysis tutor -
  • 4.8 (4 reviews)

R772/h

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  • Data Analysis

Data Scientist and Medical Engineer with a PhD in Machine Learning and Computational Biomechanics. Data Analysis for Aspiring Professionals - Learn Data Analysis in Python!

  • Data Analysis

Lesson location

Recommended

Zach is a respected tutor in our community. He is highly recommended for his commitment and the quality of his lessons. A trusted partner on your learning journey.

About Zach

Established Data Scientist and Medical Engineer with a PhD in Machine Learning and Computational Biomechanics and experience in Big Data Analytics with distributed systems.

I teach data analysis in Python and how to gain the skills needed to get a job as a data scientist in the public sector, academia or industry.

- Data Scientist With more than 5 years experience with advanced algorithms.
- Presented academic work at international conferences.
- Data Enthusiast.

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +14
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Undergraduate

    Masters

    Diploma

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

Are you looking to increase you skills and employability in Data Analysis and Data Science?

I offer tailored data science and analysis tutoring to gain:
- Basic data skills needed to land a job as a Data Analyst or Data Scientist.

- Programming languages Python - Pandas, Plotting with Seaborn/Matplotlib and ML with scikit-learn, the R programming language, dplyr and ggplot or distributed computing with Apache Spark, PySpark and SparklyR and others!

- Advanced lessons on aspects of data science, such as testing with Pytest, version control with Git on GitHub, CI/CD to build a pipeline and containerisation using tools such as Docker.

- How to use an Integrated Development Environment (IDE) to help you write better programs.

-How to use Jupyter Notebooks.

- Statistics
- Machine Learning
- Deep Learning
- Linear Regression.
- Statistical Modelling.
- Data Analysis/Science.
- Git, GitHub.
- VSCode an IDE.
- Jupyter Notebooks.

See more

Rates

Rate

  • R772

Package rates

  • 5h: R3860
  • 10h: R7720

travel

  • + R25

online

  • R772/h

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