Skip to main content

Python for Data Science and Machine Learning Bootcamp

Become A Data Scientist


Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more


 

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more

 
What Will I 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


 
Requirements


  • Some programming experience

  • Admin permissions to download files


 
Description

Are you ready to start your path to becoming a Data Scientist!

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 is the target audience?

  • This course is meant for people with at least some programming experience


 

[button link="https://click.linksynergy.com/deeplink?id=LTDmoZU*IG0&mid=39197&u1=onlinecourses&murl=https%3A%2F%2Fwww.udemy.com%2Fpython-for-data-science-and-machine-learning-bootcamp%2F" type="big" newwindow="yes"] Take this course[/button]


 

Comments

Popular posts from this blog

Data Science, Deep Learning, & Machine Learning with Python

Deep Learning, Data Science, & Machine Learning with Python Go hands-on with the latest neural network, artificial intelligence,deep learning and data science techniques employers are seeking! What Will I Learn? Develop using iPython notebooks Understand statistical measures such as standard deviation Visualize data distributions, probability mass functions, and probability density functions Visualize data with matplotlib Use covariance and correlation metrics Apply conditional probability for finding correlated features Use Bayes' Theorem to identify false positives Make predictions using linear regression, polynomial regression, and multivariate regression Understand complex multi-level models Use train/test and K-Fold cross validation to choose the right model Build a spam classifier using Naive Bayes Use decision trees to predict hiring decisions Cluster data using K-Means clustering and Support Vector Machines (SVM) Build a movie r...

Oracle DBA 11g/12c - Database Administration for Junior DBA

Oracle DBA 11g/12c - Database Administration for Junior DBA Learn to become an Oracle Database Administrator (DBA) in 6 weeks and get a well paid job as a Junior DBA What Will I Learn? Final Goal: Get a job as an Oracle Database Administrator (Oracle DBA) As a Oracle Database Administrator (Oracle DBA), you would be able understand the Database Architecture, which will help you to perform your DBA duties with better understanding. As a Oracle Database Administrator (Oracle DBA), you would be able to Install the necessary Oracle Software/Database As a Oracle Database Administrator (Oracle DBA), you would be able to Administer User accounts in the Database As a Oracle Database Administrator (Oracle DBA), you would be able to Manage Tablespace's to provide required space for the data As a Oracle Database Administrator (Oracle DBA), you would be able perform Backup and Recovery as needed. As a Oracle Database Administrator (Oracle DBA), you would be able to diagnose ...

Bootstrap 4 From Scratch With 5 Projects

Bootstrap 4 From Scratch With 5 Projects Master the latest version of Bootstrap (4.0.0 Beta) and build 5 real world themes while learning HTML5 semantics & CSS3 What Will I Learn? Learn and create amazing high quality Bootstrap 4 themes and UIs from scratch Learn the Bootstrap 4 utilities, classes, components & JS widgets using a custom sandbox environment Create a professional workflow & dev server to build from source and compile Sass Requirements You should have basic knowledge of HTML & CSS You do NOT need to know any Bootstrap 3 Description This course will literally take you from knowing nothing about Bootstrap 3 or 4 to learning all of the utilities, components, widgets and grids and building real world themes and websites. You do NOT need to know Bootstrap 3 for this course. Even if you already know Bootstrap 4, skip the learning sections and head right for section 6 to create the custom workflow and start the projec...