We're thrilled to introduce our keynote speaker for the upcoming event on Shaping Careers in Computer Science: Women's Empowerment through Data Science and Competitive Programming. 🚀👩💻

🎙 Meet Mebatsion Sahle, a talented computer scientist and expert in data science and competitive programming. She has extensive experience in the field, having worked at INSA and as an academic research assistant at ASTU. Currently, Mebatsion is pursuing her MSc in Data Science and honing her skills through an internship at OESON. In addition, she also works as a freelancer.

💻 With programming languages such as Python, C++, Java, and Javascript in her arsenal, Mebatsion is a versatile and skilled professional. Her impressive portfolio includes various certifications, such as ETCPC (Competitive programming contest manager), ACPC (Contestant), Zindi (Data Science competition for Africans), Duke University (Data Science Math Skills), Hackerrank, and LinkedIn.

Don't miss out on this opportunity to learn from Mebatsion and join us for an insightful discussion on Women's Empowerment through Data Science and Competitive Programming. See you there!

#womenintech #datascience #competitiveprogramming #computerscience #womenempowerment #CareerDevelopment #InternationalWomensDay #IWD2023

1) Data Science
Data Science is a field that uses methods and algorithms for extraction of information from data provided either it is structured data or unstructured data. Due to growth in data and evolution in technology, the domain of Data Science has seen a tremendous rise.This course will give you a comprehensive introduction to Data Science and Analytics Landscape. You will learn all the fundamentals of Data Science and Data Science Life Cycle.

2) Python basics for Data Analytics
This course is designed to teach you the fundamentals of the Python programming language, especially for the purpose of data analysis. We'll look at how to structure and group information in your program with data types, use programming logic so that your program does what you want it to and how use and write functions so that you can save time when writing programs.

3) Machine Learning Crash Course
This course teaches the basics of machine learning through a series of lessons that include video lectures from researchers at Google, text written specifically for newcomers to ML, interactive visualizations of algorithms in action and real-world case studies. While learning new concepts, you'll immediately put them into practice with coding exercises that walk you through implementing models in Tensor Flow, an open-source machine intelligence library.

4) Data Science with python
This Data Science with Python program provides learners with a complete understanding of data analytics tools & techniques. Getting started with Python can help you gain knowledge on data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing. This program is an ideal Kickstarter for anyone looking to become a data scientist today.

5) Basics of Machine Learning
Whether it's recommending movies or helping scientists find breakthrough cures, machine learning is a powerful new tool with untold potential. In the Understanding the basics of machine learning course videos, we'll explore what these technologies are and how they can be applied in real life to help businesses grow.

#DataScience #PythonBasics #MachineLearning #DataSciencePython #MachineLearningBasics #wtm_addis #gdg_addis #community #free_course