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Data Scientist

Build a career as a data scientist. Learn statistics, Python, machine learning, data visualization, and how to extract insights from complex datasets.

365 coursesLevel: Beginner → Intermediate

Data Scientist Machine Learning Engineer AI Product Manager AI Researcher Business AI Leader

Career Path

Recommended Level

Beginner → Intermediate

Career Outlook

Data scientists are in high demand across industries. The U.S. Bureau of Labor Statistics projects 36% job growth for data scientists through 2033, with a median salary exceeding $100,000.

Data Scientist Courses

Data Science Specialization

Complete data science workflow specialization covering data cleaning, analysis, visualization, and machine learning applications.

CourseraIntermediate4.5Free

Python for Data Science

Introduction to Python programming for data analysis. Learn pandas, numpy, and visualization libraries for data science.

edXBeginner4.0Free

Tableau 2022 A-Z: Hands-On Tableau Training for Data Science

A comprehensive, hands-on guide to Tableau for data science, covering all the essential skills for creating powerful visualizations for EDA.

UdemyIntermediate4.6$15

Data Science: Machine Learning and Deep Learning with Python

This course focuses on the fundamentals of Data Science, Machine learning, and deep learning in the beginning and with the passage of time, the content and lectures become advanced and more practical. But before everything, the introduction of python is discussed. Python is one of the fastest-growing programming languages and if we specifically look from the perspective of Data Science, Machine learning and deep learning, there is no other choice then “python” as a programming language.First of all, there is a crash course on python for those who are not very good with python and then there is an exercise for python that is supposed to be solved by you but if you feel any difficulty in solving the exercise, the solution is also provided.Then we moved on towards the Data Science and we start from data parsing using Scrapy then the data visualizations by using several libraries of python and finally we end up learning different data preprocessing techniques. And in the end, there is a complete project that we’ll do together.After that, we’ll be learning a few classical and a few advanced machine learning algorithms. Some of them will be implemented from scratch and the others will be implemented by using the builtin libraries of python. At the end of every algorithm, there will be a mini-project.Finally, Deep learning will be discussed, the basic structure of an artificial neural network and it’s the implementation in TensorFlow followed by a complete deep learning-based project. And in the end, some hyperparameter tuning techniques will be discussed that’ll improve the performance of the model.About The Instructor:Below is an introduction to Mr. Sajjad Mustafa, the instructor of this course.He an expert in Web

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Data Scientist

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Data Scientist Courses

Data Science Specialization

Python for Data Science

Tableau 2022 A-Z: Hands-On Tableau Training for Data Science

Data Science: Machine Learning and Deep Learning with Python

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