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The Data Science Course 2020: Complete Data Science Bootcamp Free Download
The Data Science Course 2020: Complete Data Science Bootcamp. Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning.
Data science is one of the best-suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.
However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. Solution: Data science is a multidisciplinary field. It encompasses a wide range of topics.
The Data Science Course 2020: Complete Data Science Bootcamp Description
RequirementsNo prior experience is required. We will start from the very basics.
You’ll need to install Anaconda. We will show you how to do that step by step.
Microsoft Excel 2003, 2010, 2013, 2016, or 365
What you’ll 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 that 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 the 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 TensorFlow Develop a business intuition while coding and solving tasks with big data
Unfold the power of deep neural networks
Be able to create Machine Learning algorithms in Python, using NumPy, stats models, and Scikit-learn-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
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
Free Download
https://www.book-somahar.com/2022/10/the-data-science-course-2020-complete.html
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