Data Preprocessing Courses and Certifications

Whizlabs

NVIDIA: Fundamentals of Machine Learning

30 ratings at Coursera

Master machine learning fundamentals, from data preprocessing to advanced GPU-accelerated techniques using NVIDIA RAPIDS. Covers supervised and unsupervised learning, model evaluation, and practical implementations.

• Coursera
• 6 hours 1 minute
• Self-Paced
• Paid Course

Coursera

GenAI for Data Analysts

25 ratings at Coursera

Explore GenAI's impact on data analysis, learning practical strategies to integrate AI tools into preprocessing, pattern recognition, predictive analytics, and report generation for enhanced productivity.

• Coursera
• 2 hours 20 minutes
• Self-Paced
• Paid Course

Artificial Neural Networks (ANN) with Keras in Python and R

1026 ratings at Udemy

Understand Deep Learning and build Neural Networks using TensorFlow 2.0 and Keras in Python and R

• Udemy
• 8 hours 36 minutes
• Self-Paced
• Paid Course

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

1039 ratings at Udemy

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

• Udemy
• 7 hours 20 minutes
• Self-Paced
• Paid Course

CertNexus

Analyze Data

21 ratings at Coursera

Gain insights through data analysis techniques, statistical methods, and visualizations. Learn to preprocess data for machine learning applications.

• Coursera
• 20 hours 54 minutes
• Self-Paced
• Paid Course

EDUCBA

Master CNNs with Python: Build, Train & Evaluate Models

19 ratings at Coursera

Dive into CNN development with Python to design, build, train and evaluate deep learning models for image classification through hands-on projects and real-world applications.

• Coursera
• 5 hours 37 minutes
• Self-Paced
• Paid Course

Coursera

Real-time data visualization dashboard using Node-red

18 ratings at Coursera

Create a real-time data visualization dashboard using Node-RED to fetch, preprocess, and display global air quality data from the OpenAQ API, enhancing your skills in data handling and visualization.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

EDUCBA

Python Case Study - Sentiment Analysis

18 ratings at Coursera

Master sentiment analysis by building a complete Python-based text classification system using NLP techniques, machine learning algorithms, and evaluation metrics.

• Coursera
• 3 hours 13 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with ANN in Python: Build & Optimize

17 ratings at Coursera

Master ANN development in Python with hands-on TensorFlow and Keras implementation, from data preprocessing to model optimization for real-world predictive analytics.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

Coursera

Scrape and analyze data analyst job requirements with Python

16 ratings at Coursera

Learn to extract, analyze, and visualize data analyst job requirements using Python web scraping techniques, enhancing your skills in data collection and preprocessing for recruitment insights.

• Coursera
• 2 hours 22 minutes
• Self-Paced
• Paid Course

Coursera

Foundations of Machine Learning

15 ratings at Coursera

Master fundamental ML techniques including supervised/unsupervised learning, data preprocessing, and time series forecasting using Python libraries for real-world applications.

• Coursera
• 1 day 6 hours 19 minutes
• Self-Paced
• Paid Course

EDUCBA

AI with Python: Apply & Implement ML Models

13 ratings at Coursera

Master AI and machine learning with Python through hands-on practice using TensorFlow, Keras, and PyTorch to build, evaluate, and implement ML and deep learning models effectively.

• Coursera
• 8 hours 45 minutes
• Self-Paced
• Paid Course

EDUCBA Career Certificate

AI Driven Machine Learning with Python

13 ratings at Coursera

Master AI-driven machine learning through hands-on Python projects, from data preprocessing to model deployment, with real-world applications in healthcare and image detection.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Learn & Build Machine Learning Models with Python

13 ratings at Coursera

Discover how to build and evaluate machine learning models using Python, NumPy, Pandas, and Scikit-learn through hands-on projects and real-world applications.

• Coursera
• 8 hours 39 minutes
• Self-Paced
• Paid Course

EDUCBA

Project on Recommendation Engine - Book Recommender

13 ratings at Coursera

Discover how to build a functional book recommendation engine using Python, data science techniques, and content-based filtering to create personalized suggestions.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course