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Since January 2022
Instructor since January 2022
Foundation of Data Science -- For Beginners students.
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From 31.49 € /h
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Hi Students,

Foundation of Data Science is for complete Beginners.

This course is In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R.

Foundations of Data Science is for those who work with both structured – spreadsheets and data tables – and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions.


With my Course you’ll gain a broad understanding of the tools and techniques used to work with data.

1. What is Data: Learn about data types, structures and frameworks

2. Interacting with Data: Understanding how data is used and how to use data

3. Where Data comes from: The processes for acquiring and sharing Data

4. Storing & Structuring Data: Working with different types of databases and data sets

5. Cleaning Data: Working with messy or incomplete data sets

6. Analyzing Data: Gaining insights with data science techniques and tools

7. Visualizing Data: Best practices and tools for data visualization and presentation

8. Machine Learning & Artificial Intelligence: How data is used by machines

9. Working as a Data Scientist: What do data scientists really do?

10. Data & Society: Ethics and the uses of data in society
Extra information
Laptop is needed :)
Location
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Online from Switzerland
About Me
Hi Learners,

I am Noshima and I am a Software engineer working. I work in technology firm and have experience of 5 years. Along with my work since last 6-7 years I am teaching my students through online platform as my hobby and as my passion to share knowledge as much as I can in order to benefit my student.

See you in my CLASS.
Education
Degree - B.Tech in Computer Science.
Graduation Year - 2015
GDPA - 8

Certification in Data Science from EPFL Switzerland.
Year - 2022.2023
Score - Pass with all project submission

Teaching experience of more than 7 years.
Experience / Qualifications
Qualification - Bachelor in Technology.
Experience - more than 5 years

Worked in USA companies Project for more than 3 years.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Student level
Beginner
Duration
45 minutes
The class is taught in
English
French
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Μαθήματα δια ζώσης ή online, με έμφαση στην κατανόηση και στη σωστή οργάνωση μελέτης.


English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

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Emergency Debugging: Find and fix errors fast (frontend crashes, backend timeouts, database issues)
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Students: Fix your project before the deadline
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Summarize a long newspaper article or document.

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"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

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Παγκύπριες Εξετάσεις – Πληροφορική

Συστηματική προετοιμασία με έμφαση:
• κατανόηση της ύλης
• σωστή αλγοριθμική σκέψη
• μεθοδολογία επίλυσης θεμάτων
• ανάλυση παλαιών θεμάτων Παγκυπρίων

Καλύπτουμε ενδεικτικά: ψευδοκώδικα, πίνακες, επαναλήψεις, δομές ελέγχου και συχνά λάθη εξετάσεων.

Φοιτητές & Γενική Πληροφορική

Υποστήριξη σε:
• Προγραμματισμό (C / C++ / Python)
• Λειτουργικά Συστήματα
• Αρχιτεκτονική Υπολογιστών
• Κατανόηση & debugging κώδικα

Μαθήματα δια ζώσης ή online, με έμφαση στην κατανόηση και στη σωστή οργάνωση μελέτης.


English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

Structured exam preparation focusing on:
• understanding the syllabus
• correct algorithmic thinking
• exam-oriented problem-solving
• analysis of past Pancyprian exams

Topics include pseudocode, arrays, loops, control structures, and common exam mistakes.

University & General Computer Science

Support in:
• Programming (C / C++ / Python)
• Operating Systems
• Computer Architecture
• Code understanding and debugging

Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.
Good-fit Instructor Guarantee
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