Udemy Bootcamp 0

100 Days of Code: Data Scientist Challenge

Name: 100 Days of Code: Data Scientist Challenge
Price: 19.99 USD
Availability: InStock

About this course

This course is an intensive, practical-oriented program that aims to transform learners into proficient data scientists within 100 days. This course follows the recognized #100DaysOfCode challenge, inviting participants to engage in data science coding tasks for a minimum of an hour daily for 100 consecutive days. This course allows students to take a hands-on approach in learning data science, featuring a multitude of practical exercises spanning 100 days.Each day of the challenge presents a fresh set of tasks, each tailored to explore various facets of data science including data extraction, preprocessing, modeling, analysis, and visualization. These exercises are set within the context of real-world scenarios, and range from simple tasks to more complex problems, covering topics such as data cleaning, exploratory data analysis, machine learning, deep learning, and more.This course covers a wide range of Python libraries like Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn, and it does not shy away from introducing the students to more advanced concepts such as Natural Language Processing (NLP), Time-Series Analysis, and Neural Networks.With over 100 hands-on exercises, the students will be able to solidify their understanding of data science theory, develop practical coding skills and problem-solving abilities that will be crucial in a real job setting.This course encourages a "learn by doing" approach, where students will be coding and solving problems each day, thus reinforcing the concepts learned. By the end of the 100 days, students will have built a robust portfolio showcasing their ability to tackle a variety of data science problems, proving to potential employers their readiness for the data science industry.100 Days of Code: Your Data Science Journey in PythonEmbark on a transformative 100-day coding challenge designed to build and sharpen your data science skills using Python. From foundational programming

69/100

CourseAsk score

What the provider tells you: 45/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

data extraction
data preprocessing
data modeling
data analysis
data visualization
exploratory data analysis
machine learning
deep learning
natural language processing
time-series analysis
neural networks

Course objectives

transform learners into proficient data scientists
encourage a daily coding habit
develop practical skills through real-world scenarios
build a portfolio of projects

Machine Learning #deep learning #python #scikit-learn #pandas #nlp #numpy #exploratory data analysis #seaborn #matplotlib #data cleaning #data science #neural networks #coding #ml #time series #portfolio #hands-on #practice #real-world

$19.99

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