The Data Science Course: Complete Data Science Bootcamp 2025
Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
4.58 (153758 reviews)
762 421
students
32 hours
content
May 2025
last update
$129.99
regular price
What you will learn
The course provides the entire toolbox you need to become a data scientist
Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
Impress interviewers by showing an understanding of the data science field
Learn how to pre-process data
Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
Start coding in Python and learn how to use it for statistical analysis
Perform linear and logistic regressions in Python
Carry out cluster and factor analysis
Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
Apply your skills to real-life business cases
Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
Unfold the power of deep neural networks
Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
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Our Verdict
Boasting a stellar 4.59 rating and over 750,000 subscribers, this Data Science Bootcamp course lives up to its reputation as a top choice for aspiring data scientists. With an in-depth curriculum covering everything from Python programming to advanced machine learning techniques, you'll receive a well-rounded education in the field. However, there is room for improvement; specifically when it comes to addressing issues with repetitive coding exercises and improving evaluation tools. Moreover, beginners without prior programming experience might find some sections challenging. Addressing these issues will only make this course stronger in its mission to teach data science essentials efficiently and effectively.
What We Liked
- Comprehensive curriculum covering essential data science skills, from Python programming to advanced machine and deep learning techniques
- Expert instructors explain complex mathematical concepts behind machine learning algorithms clearly and concisely
- Engaging real-world business case studies help illustrate key concepts and applications
- Updated regularly with up-to-date content and relevant examples
Potential Drawbacks
- Some users find coding exercises repetitive or vague, which could be improved to enhance the learning experience
- A few students mention issues with evaluation tools, leading to frustration during hands-on exercises
- Beginners might struggle without prior programming knowledge, especially when dealing with Python exercises
- A more structured approach for teaching statistics-related topics can help reinforce understanding and retention
Related Topics
1754098
udemy ID
18/06/2018
course created date
28/06/2019
course indexed date
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