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Data Science for Non-Programmers - AI-Powered Course
4.8
Beginner
13h
Updated 2 months ago
Data Science for Non-Programmers
Discover how to conduct data analysis in Python without prior programming experience. Discover Python basics, data preprocessing, EDA, and predictive analytics for solving business problems.
Join 2.8M developers at
Overview
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Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful.
This hands-on introductory Data Science course is aimed at professionals and students who don't have any experience with programming. It will help you advance your career by preparing you to conduct meaningful data analysis in Python on any dataset — large or small.
You’ll begin with the fundamentals of Python, with focus on CSV files in Python, covering concepts like data preprocessing and Exploratory Data Analysis (EDA). In the second half, you'll focus on predictive and inferential analysis using statistical and machine learning techniques, and learn how these techniques can help solve business problems.
Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful.
This hands-on introductory D...Show More
Content
70 Lessons5 Quizzes8 Challenges
1.
What is Data Science
3 Lessons
Get familiar with the interdisciplinary study of data, data science lifecycle, and Python's key role.
2.
Python Basics
12 Lessons
Unpack the core of Python syntax, variables, operators, conditionals, functions, loops, and modules.
3.
Handling Tabular Data in Python
10 Lessons
Master the steps to handle, manipulate, and visualize tabular data using Pandas in Python.
4.
Data Cleaning
9 Lessons
Grasp the fundamentals of data cleaning, including handling missing values, duplicates, inconsistencies, and outliers.
5.
Exploratory Data Analysis
8 Lessons
Dig into understanding datasets, analyzing variables, and discovering trends and relationships.
6.
Statistical Inference
6 Lessons
Simplify complex topics of statistical inference, including estimation, confidence intervals, and hypothesis testing.
7.
Predictive Models
11 Lessons
Build on creating, optimizing, and evaluating predictive models using linear and logistic regression.
8.
Machine Learning
11 Lessons
Sharpen your skills in machine learning algorithms, pipelines, and practical applications using Python.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Developed by MAANG Engineers
Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.
Trusted by 2.8 million developers working at companies
"These are high-quality courses. Trust me. I own around 10 and the price is worth it for the content quality. EducativeInc came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks"
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ML Engineer
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