Description
This course will give you the resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Analysis!
You’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyse data.
You will also get lifetime access to many example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!
This course covers a variety of topics, including
- Google Colab
- Keras.
- Pandas.
- Seaborn.
- Matplotlib.
- scikit-learn
- NLTK.
- Tokenization.
- Spacy.
- PoS tagging.
- Stemming and lemmatization.
- Loading data.
- Analyzing data.
- Visualizing data.
- Bokeh.
- Plotly.
- Mapper.
- WordCloud.
- Hover.
- Slider.
- FreqDist.
- Matplotlib
Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There is an assignment for you to learn and practice all the tools and knowledge that you will learn throughout the course.
By the end of this course you will:
– Have an understanding of how to program in Python.
– Know how to create and manipulate arrays using NumPy and Python.
– Know how to use pandas to create and analyze data sets.
– Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
– Have an amazing portfolio of example python data analysis projects!
– Have an understanding of Machine Learning and SciKit Learn!
Who this course is for:
- You should take this course if you want to become a Data Scientist or if you want to learn about the field
- This course is for you if you want a great career
- The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
Requirements
- Solid Python Knowledge
Last Updated 3/2022
Download Links
Direct Download
The Complete Data Analysis Course 2022 with Python.zip (1.9 GB) | Mirror
