Subcategory Data Science
Build high-performance, distributed, and concurrent applications in Python
Rating: 4.25
Debug common issues and optimize your data model to achieve the best performance for your Qlik Sense app
Rating: 4.2
Use R to master survival analysis, duration analysis, event time analysis or reliability analysis.
Rating: 4.42308
Learn Data Analysis using Microsoft Excel
Rating: 1.91667
Build your programming foundation in a safe and fast Systems Programming Language Rust
Rating: 3.05
Grasp the concepts of OpenCV 4 to build powerful machine learning systems and computer vision applications with OpenCV 4
Rating: 3.95
New to machine learning? This is the place to start: Linear regression, Logistic regression & Cluster Analysis
Rating: 4.64583
alyze data and extract actionable insights by building interactive dashboards in PowerBI
Rating: 3.7
Zapier-The Easiest Automation For Busy People, Trello, Slack, ClickFunnels, LinkedIn, Pinterest, Wishlist And Shopify.
Rating: 4.15
Unleash the power of TensorFlow and PyTorch to build and train Neural Networks effectively
Rating: 3.7
Learn to develop real-world applications powered by the latest advances in intelligent systems
Rating: 4.25
OOP in Python 3 | All four pillars of Object Oriented Programming in Python 3 for beginners from scratch
Rating: 4
Big Data, Spark SQL, Hadoop, Kafka, Data Lake, Transfer Learning, Zeppelin Notebook, Graph, Hortonworks HDP, Cloudbreak
Rating: 2.45
Machine learning with many practical examples. Regression, Classification and much more
Rating: 3.9
Get to solve coding challenge using JavaScript and elaborate you problem solving skill as well as your JavaScript skill
Rating: 4.15
Step by Step Guide to Alteryx Workflow Automation for Business Analytics with Data Science & Analysis
Rating: 3.7
Use Python to solve problems in Retail, Marketing, Product Recommendation, Customer Clustering, NLP, Forecasting & more!
Rating: 4.46154
Learn to create and deploy simple yet powerful websites using the Flask Framework
Rating: 4.6
Be more productive and efficient by mastering the best practices in Tableau 2019
Rating: 4.4
Learn about Cryptocurrency, cryptography, transactions & programming in the best Blockchain and Android course
Rating: 4.3
Learn Qlik Sense data visualization and analyze data easily and make faster business decisions
Rating: 4.1
Implement Data Structures and Algorithms in Python
Rating: 4.37143
Learn Python Programming: Frequently asked Interview Questions Included
Rating: 4.25
Course Tutorial to make your work reproducible using Docker Containers
Rating: 3.9
Logistic regression in Python tutorial for beginners. You can do Predictive modeling using Python after this course.
Rating: 4.53125
Logistic regression in R Studio tutorial for beginners. You can do Predictive modeling using R Studio after this course.
Rating: 4.55882
Load, clean, analyze, and visualize your data in Java. Develop ML and DL models working on real-world projects
Rating: 3.6
Step into the world of Pharmaceutical industry |Clinical Trials |Clinical Research |Biostatistics |Data Management| SAS
Rating: 4.41791
Become a data visualizations expert with Python and Matplotlib 3 by learning effective data visualization recipes.
Rating: 3.55
SQL - MySQL for Data Analytics - Beginners - Statistics for Data Science - MySQL for Data Analysis - with 25 projects
Rating: 4.4
Business Analytics: Use data analysis to drive business growth. Learn business analytics & data analysis strategies.
Rating: 4.15
Business Analytics: Use data analysis to drive smart financial decisions. Learn business analytics & data analysis.
Rating: 3.1
Learn SQL from scratch as SQL is widely used in IT / Computer Science / Software Field
Rating: 4.54863
Controlling any devices through Arduino board and an excellent graphical user interface on your PC or laptop
Rating: 3.8
Scalable | SQL | NoSQL | Elastic | Data Warehouse | Graph based | Document based | and more
Rating: 4.15
AWS S3| EFS| Glacier| EBS | Storage Gateway| BloB | Disk |File |Table |Queue |Data Lake |StorSimple |Backup |Archive
Rating: 4.1
A hands-on project to identify Critical Employee Satisfaction Attributes using Factor Analysis in R
Rating: 4.1
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