Learn Python for Data Science, Structures, Algorithms, Interviews
Original price was: $84.99.$14.99Current price is: $14.99.
What you’ll learn
-
Use Python for Data Science and Machine Learning
-
Use Spark for Big Data Analysis
-
Implement Machine Learning Algorithms
-
Learn to use NumPy for Numerical Data
-
Learn to use Pandas for Data Analysis
-
Learn to use Matplotlib for Python Plotting
-
Learn to use Seaborn for statistical plots
-
Use Plotly for interactive dynamic visualizations
-
Use SciKit-Learn for Machine Learning Tasks
-
K-Means Clustering
-
Logistic Regression
-
Linear Regression
-
Random Forest and Decision Trees
-
Natural Language Processing and Spam Filters
-
Neural Networks
-
Support Vector Machines
Show moreShow less
Are you ready to start your path to becoming a Data Scientist!Â
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!
Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!
This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!
This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!
We’ll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:
- Programming with Python
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
- Web scraping with python
- Connect Python to SQL
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
- Machine Learning with SciKit Learn, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Natural Language Processing
- Neural Nets and Deep Learning
- Support Vector Machines
- and much, much more!
Enroll in the course and become a data scientist today!
Who this course is for:
- This course is meant for people with at least some programming experience
12 reviews for Learn Python for Data Science, Structures, Algorithms, Interviews
Add a review
Original price was: $84.99.$14.99Current price is: $14.99.
S Aswin – –
As a beginner, I am grateful to Jose and his team for putting together such an amazing course. For someone who was totally new to both Python and Data Science, this has greatly helped me in understanding the concepts of Python for Data Science and Machine Learning.
Sudharsun K –
A great course for beginners, would have been nice if Jose explained the math behind ML model. Nevertheless a good value for money! Thanks Jose!
ENCH 4A –
I personally like how this course was taught from basics to installation to topics that we will surely use in our careers. Thank you for this opportunity to learn.
Berly Alejandro Baca Reyes –
Great course with many interesting topics new for me. Thank you
Adrian Imanuel –
The course is pretty thorough, and Jose explanation is easy to digest, but I encourage others to dig more information through stackoverflow to complements the lectures… hope I can land a job using this
Oleksandr Churiumov –
Very comprehensive course covering wide variety of topics related to data science. Took me some time to complete, but it was completely worth it. Big thanks to Pierian Data and Jose personally for such an amazing work creating this course!
Pierre Avenant –
Great introduction to the worlds of data science and machine learning. Course is well structured.
Ioannis Fotogiannopoulos –
Truly great course, even though it touches some more advanced topics not so much in-depth BUT if it would it would be a 50 hour course. Still i learned a TON and i started from zero with only some very basic Python knowledge. Really grateful. Recommended 100%.
Simone Gennaioli –
Amazing Course for broadness of contents and for the continuous exercises, useful for the student to familiarize with learnt contents. Highly recommended!
Liviu Balan –
A complex course on both technologies (Python and Data Science related libraries) and disciplines (Programming, Statistics and Math). The information is overwhelming and even it has 25 hours in my opinion it’s just scratching the surface. It’s a great start in Data Science. I found a lot of concepts and programming techniques new for me.
Even I’m a day to day programmer (PHP Developer) and I have a Computer Science degree, an informatics high school and I’m programming since 1999 (system and client server architectures) it’s a tough course, especially the 2nd part (Machine Learning). This is because besides programming skills you need to achieve Stats knowledge which is not so common.
One recommendation for this course and for future courses is to use fixed packages versions. This is because methods and parameters change and backward compatibility is not always respected. Eg: on Anaconda 4.10.3 for method “pd.read_excel” the “sheetname” param used on the course notebook became “sheet_name”.
John Kopsky –
Jose is one of the best instructors for Python on Udemy. There isn’t anything pretentious about his approach. The explanations and examples are clear and precise. He’s great for all of us who have to actually use this stuff.
Thanks
Jorge Sebastian Mora Lara –
very good course, explains the basics of machine learning and data analysis very well