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Foundation of Data Science -- For Beginners students.

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

Online via webcam

General info

Age:
Children (7-12 years old)
Teenagers (13-17 years old)
Student level:
Beginner
Duration:
45 minutes
The class is taught in:English, French

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.
This course aims to teach everyone the basics of programming computers using C/C++. We cover the basics of how one constructs a program from a series of simple instructions in C/C++. The course has no prerequisites and avoids all but the simplest mathematics. Will share handwritten notes pdf after every class.
With this course you will get to learn following things - Build natural, long-lasting confidence. Overcome low self-esteem. Tap into your Best Self. Use the power of NLP & Hypnosis to become supremely self-confident. Create a positive and empowering Self-image. Cultivate a strong sense of self-belief. Develop a "quiet" Confidence. Learn about the multi-layered nature of Confidence. The Success Tunnel Technique to boost confidence, self-esteem & self-belief. The Self-image Multiplier Technique. How to use Psychological Mentoring to become more confident than you can imagine. How to let go of social anxiety. How to become more confident in social situations. How to become more socially skilled.
Whether you're just starting out or already have some experience, my course offer various English Speaking courses designed to fit your needs. Take the next step in your language journey and enroll in a English Speaking course today! See you in my class :)

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Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday 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
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
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from £25.71Online 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.

Online reputation

  • Instructor since January 2022
  • Phone number verified
  • Google connected

Availability of a typical week

(GMT -05:00) New York
MonTueWedThuFriSatSun
0              
1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday 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
5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
18              
19              
20              
21              
22              
23              
from £25.71Online 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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