technifyed

Free online

Real World Data courses 78

Learn Real World Data online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

Explore subjects

Showing 78 courses

Northeastern University

Foundations for Data Analytics Part 2

This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applicatio…

  • Coursera
  • 7 weeks, 2-5 hours/week
  • Self-paced
  • Paid certificate

Northeastern University

Data Analytics Engineering: Probability & Techniques

This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applicatio…

  • Coursera
  • 19 hours
  • Self-paced
  • Paid certificate

Alison

Mastering Data Entry Tools and Techniques

3.5317 ratings

Ever wondered how professionals manage high-volume data with speed and precision? This course shows you how. It starts with the basics and builds your confidence step by step. You’ll gain hands-on exposure to tools used in real-world data environments. If you're aiming for accuracy and efficiency,…

  • Alison
  • 3 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Intermediate

CodeSignal

RNNs for Time Series with PyTorch

Master time series forecasting with PyTorch. Build and optimize RNNs, LSTMs, and GRUs for univariate and multivariate data. Advance from basic sequences to complex hybrid models and attention mechanisms to solve real-world data science challenges.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

CodeSignal

Introduction to SciPy

Dive into the "Introduction to SciPy" course, where you'll master optimization, unravel calculus, explore statistics, and perfect curve fitting—all while having fun with hands-on projects and real-world data challenges!

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

CodeSignal

Introduction to Regular Expressions in Python

Master regular expressions in Python from the ground up! Build patterns to match, extract, validate, and transform text, then apply your skills to real-world data processing pipelines with confidence and precision.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

MathWorks

Practical MATLAB Skills

MATLAB is a powerful programming and numerical computing tool used widely across industries - from engineering and scientific research to data analysis. In this course, you’ll gain hands-on experience using MATLAB and will work with real-world data, build visualizations, and automate analysis. Thes…

  • Coursera
  • 4 weeks to complete, 4-5 hours per week
  • Self-paced
  • Paid certificate

CodeSignal

Introduction to Distributions

Explore how data behaves from start to finish. You'll learn to describe distributions, calculate measures of center and spread, and interpret histograms and box plots — building the skills to spot patterns, identify outliers, and draw meaningful conclusions from real-world data.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Coursera

Perform exploratory data analysis on retail data with Python

In this project, you'll serve as a data analyst at an online retail company helping interpret real-world data to help make key business decisions. Your task is to explore and analyze this dataset to gain insights into the store's sales trends, customer behavior, and popular products. Upon completio…

  • Coursera
  • 8 hours
  • Self-paced
  • Paid certificate

Coursera

Transfer Learning for NLP with TensorFlow Hub

This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub. By the time you complete this project, you will be able to use pre-trained NLP text embedding models from TensorFlow Hub, perform transfer learning to fine-tune models on real-world data, bui…

  • Coursera
  • 1.5 hours
  • Self-paced
  • Paid certificate

Coursera

Building a Real-World Data Science Solution

Transform theoretical knowledge into practical expertise in this comprehensive project-based course designed for aspiring data professionals. Through an end-to-end project using synthetic customer support data (designed to mirror real-world scenarios) , you'll integrate advanced analytics, cloud co…

  • Coursera
  • 4 weeks of study, 10 hours per week
  • Self-paced
  • Paid certificate

Edureka

Applied Data Analytics with Python and SQL

Learn how to work with data using Python and SQL in a practical, project-based course designed to give you relevant, industry-ready skills. You’ll gain hands-on experience manipulating, querying, and analyzing large datasets preparing you to solve real-world data challenges in business, science, or…

  • Coursera
  • 4 weeks of study, 3-4 hours/week
  • Self-paced
  • Paid certificate

Coursera

Transform JSON & Fix Time Data

Master the critical data transformation skills that turn messy, real-world data into analysis-ready formats. This course tackles two of the most common yet challenging data quality issues facing analysts today: extracting structured data from complex JSON and fixing timezone inconsistencies that co…

  • Coursera
  • 110 minutes
  • Self-paced
  • Paid certificate

Board Infinity

Advance Multi-Agent Systems & Production AI with LangSmith

"This Retrieval Systems, RAG, and Agentic Workflows course equips you with the skills to build intelligent AI systems that retrieve, reason, and respond using real-world data. You'll work with tools like ChromaDB, Pinecone, LangChain, LangFuse, and Python to design production-ready retrieval and ag…

  • Coursera
  • 4 weeks of study, 4–5 hours/week
  • Self-paced
  • Paid certificate

Board Infinity

RAG Systems & Agentic Workflows with Pinecone and LangGraph

This Retrieval Systems, RAG, and Agentic Workflows course equips you with the skills to build intelligent AI systems that retrieve, reason, and respond using real-world data. You'll work with tools like ChromaDB, Pinecone, LangChain, LangFuse, and Python to design production-ready retrieval and age…

  • Coursera
  • 4 weeks of study, 4–5 hours/week
  • Self-paced
  • Paid certificate

Coursera

Parse & Normalize Data for ML Pipelines

Poor data preprocessing causes 80% of ML production failures, making data quality more critical than algorithm choice. This comprehensive course equips Java developers with essential skills to build enterprise-grade preprocessing pipelines that transform messy real-world data into ML-ready features…

  • Coursera
  • 75 Minutes
  • Self-paced
  • Paid certificate

Pearson

Data Science Fundamentals, Part 1: Data Collection & Modeling

This course dives into real-world data sourcing, including making web requests, web scraping, and integrating diverse data types from APIs, files, and databases. You'll learn to parse and structure data in formats like XML and JSON, and leverage object-oriented programming to create robust data mod…

  • Coursera
  • Less than two week.
  • Self-paced
  • Paid certificate

Enter your email and the official page opens. Phone is optional.