Udacity

Udacity Online Courses

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  • Udacity
  • Mode
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook
  • Basic Computer Literacy
  • Data Science Data Science with 'Python' SQL for Data Science
The score is based on the user experience, rated by the learners.
Learning Experience
9.4
PROS:
  • The exercises on each chapter will provide more clarity.
  • Effective projects will help you to apply the lessons learned in the course.
  • Well-structured, engaging and informative program will definitely surpass your expectations.
CONS:
  • Should increase time on each lesson.
  • Need to be familiar with some basic mathematics algorithms.
  • It should have covered the basic points.
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  • 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.
Learning Experience
9.4
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.
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  • Udacity
  • Insight
  • Microdegree
  • Self-paced
  • Intermediate
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Intermediate SQL Linear Algebra Proficiency in Python
  • Apache Cassandra Training Apache Spark Training AWS Cloud Databases Data Engineering Data Science
The score is based on the user experience, rated by the learners.
Learning Experience
9.2
PROS:
  • Clarity on explanation, all the tasks and demos.
  • Projects are challenging and useful.
  • The course content explains both the theory and practicalities of each technology in an easy-to-understand manner.
  • The lessons are well-organized and highly informative.
  • Real world projects and feedback is extremely helpful.
CONS:
  • Expectation to have a bit improvement in instructor’s presentation skill.
  • Need to be familiar with basic programming libraries.
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  • 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.
Learning Experience
9.2
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.
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  • Udacity
  • Amazon Web Services Facebook Artificial Intelligence
  • Microdegree
  • Self-paced
  • Intermediate
  • 3+ Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Basic Scripting in Python
  • Data Science with 'Python' Deep learning Natural language processing Neural Networks Pytorch
The score is based on the user experience, rated by the learners
Learning Experience
9.4
PROS:
  • Covers all concepts of topics related to deep learning and neural networks.
  • Projects pre-written codes are important for beginners.
  • Very informative assessments and real world projects.
  • Well organized informational course.
CONS:
  • Familiarity with math knowledge such as algebra and some calculus.
  • Need to focus on the content of data types.
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  • 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
Learning Experience
9.2
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.
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  • Udacity
  • Microdegree
  • Self-paced
  • Beginner
  • 1-3 Months
  • Paid Course (Paid certificate)
  • English
  • Python
  • Jupyter Notebook
  • Basic Computer Literacy Linear Algebra Previous Programming Experience
  • Artificial intelligence Calculus Essentials Data Science with 'Python' Deep learning Linear Algebra Essentials Neural Networks Pytorch
The score is based on the user experience, rated by the learners.
Learning Experience
9.2
PROS:
  • Excellent course for learning the fundamentals of AI.
  • As compared to other training programs it is clear and meaningful.
  • Concise and beginner friendly course material provided.
  • Math concepts explanations are awesome.
CONS:
  • Lesson on matplotib and seaborn needs more explanation.
  • Very lengthy elementary content.
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