Online Courses
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Best seller
- Udacity
- Kaggle Mode
- Microdegree
- Self-paced
- Intermediate
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- Basic Scripting in Python Basic SQL
- Data Analysis Data Science with 'Python' Data Visualization Data Wrangling Practical Statistics
The score is based on the user experience, rated by the learners.
PROS:
- Informative content as well as format of the video materials.
- Provides high quality lectures with many real industry cases plus tons of hands-on projects.
- The lectures and short exercises are well arranged.
CONS:
- One must have glimpses of Python standard libraries.
- Need some working experience with Pandas and NumPy.
- Need to reduce complexity of the course.
- Udacity
- Bertelsmann Figure eight an appen co. IBM Insight Kaggle Starbucks
- Microdegree
- Self-paced
- Advanced
- 3+ Months
- Paid Course (Paid certificate)
- English
- Python
- Jupyter Notebook
- Basic Maths Basic Scripting in Python Basic SQL Data Visualization Data Wrangling Fundamentals of calculus Linear Algebra Machine Learning Basics Probability Basics Statistics Basics
- Apache Spark Training Data Engineering Data Science Data Visualization Machine learning Natural language processing Software Engineering for Data Science
The score is based on the user experience, rated by the learners.
PROS:
- Program is comprehensive with all the required data.
- Transparent explanations and the exercises helps a lot to understand the content.
- Commencement with fundamental algorithm(math) before you implement it.
CONS:
- Need to add more related lessons for each algorithm.
- You should be familiar with SQL programming and statistics.
- Hands-on with wrangling and visualizing data.
- Udacity
- Amazon Web Services Kaggle
- Microdegree
- Self-paced
- Advanced
- 1-3 Months
- Paid Course (Paid certificate)
- English
- Python
- Intermediate Machine Learning Proficiency in Python
- Data Engineering Data Science with 'Python' Deep learning Machine learning Natural language processing Software Engineering for Data Science
The score is based on the user experience, rated by the learners
PROS:
- Well organized instructions with concrete and familiar examples.
- Projects and reviewers will give you precious feedback.
- Unique, well-paced and well-structured content.
CONS:
- Should have deeper dive into machine learning algorithms.
- You need to be familiar with programming libraries like Numpy & pandas.