technifyedWeekly list

Free online

Numpy Python Package courses

Learn Numpy Python Package online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

15 courses

Explore subjects

Showing 15 courses

Harvard University

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

  • edX
  • 8 weeks, 3 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

IBM

Analyzing Data with Python

4.6109 ratings

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

  • edX
  • 5 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

IBM

Data Analytics and Visualization Capstone Project

4.518 ratings

Showcase your data analysis skills to prospective employers by carrying out common tasks performed by data analysts on a data set simulating a real-life business scenario and creating a comprehensive data analysis report.

  • edX
  • 6 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

IBM

PyTorch Basics for Machine Learning

3.526 ratings

This course is the first part in a two part course and will teach you the fundamentals of PyTorch. In this course you will implement classic machine learning algorithms, focusing on how PyTorch creates and optimizes models. You will quickly iterate through different aspects of PyTorch giving you st…

  • edX
  • 5 weeks, 2 - 4 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

IBM

Guided Project: Predict World Cup Soccer Results with ML V2

In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.

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

IBM

Analizando datos con Python

En este curso aprenderás cómo analizar datos en Python usando matrices multidimensionales en numpy, a manipular DataFrames en pandas, a usar la biblioteca SciPy de rutinas matemáticas y a realizar aprendizaje automático usando scikit-learn.

  • edX
  • 5 weeks, 3 - 5 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

RWTH Aachen University

Scientific Programming for AI with Python

Embark on a journey to master Python programming! This course will equip you with a solid understanding of essential techniques, including data structures, control statements, and functions. You'll also delve into advanced concepts like iterators, file handling, and exceptions. Plus, you'll get han…

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

Pragmatic AI Labs

Python and Pandas for Data Engineering

4.530 ratings

Master Python essentials and Pandas for data engineering. Learn to set up development environments, manipulate data, and efficiently solve real-world problems.

  • edX
  • 4 weeks, 3 - 6 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

Microsoft

Python Data Science Foundations with Azure Notebooks

Bridge the gap between software engineering and data science using Azure Machine Learning Studio. Master essential Python libraries like Pandas and Scikit-learn, automate data cleaning with Microsoft Data Wrangler, and track experiments with MLflow to build professional, reproducible predictive mod…

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

Pragmatic AI Labs

Python Fundamentals for MLOps

Master Python for Seamless MLOps: From Fundamentals to Automation and Workflow Efficiency.

  • edX
  • 5 weeks, 3 - 6 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

University of Maryland Baltimore County

Data Preprocessing for Data Science

4.25 ratings

Learn how to prepare and transform data for analysis and machine learning. The course includes techniques for data cleaning, normalization, domain reduction, and the application of various dimensionality reduction methods such as PCA and t-SNE to enhance data usability and visualization.

  • edX
  • 4 weeks, 5 - 7 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

CodeSignal

Journey into Data Science with Python

Build practical data science skills in Python through hands-on work with NumPy, Pandas, visualization, preprocessing, and machine learning. Analyze real datasets while learning how to prepare data, model outcomes, and interpret patterns.

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

CodeSignal

Intro to Data Analysis with Python

Build beginner-level data analysis skills with Python by learning how to clean, transform, analyze, and visualize data. Practice using libraries such as NumPy, pandas, Matplotlib, Seaborn, and SciPy to work with real datasets.

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

CodeSignal

Deep Dive into Numpy and Pandas

Deepen your Python data analysis skills with NumPy and Pandas, from array operations to advanced DataFrame transformations. Learn to clean, reshape, merge, and analyze datasets using practical workflows.

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

Pontificia Universidad Javeriana

Programación Intermedia Python de fundamentos a aplicaciones prácticas

Potencia tus habilidades de programación con Python, aprende estructuras de control, funciones y manipulación de datos con herramientas clave para para crear programas más eficientes y organizados. Este es un curso esencial para ampliar tus competencias en programación, manipulación de datos y uso…

  • edX
  • Fixed dates
  • Free to audit
  • Paid certificate
  • Intermediate