How to Begin and Enroll for Data Science Courses easily?

By ridhigrg |Email | Jun 12, 2019 | 6066 Views

Some books which will help data scientist to build their career with these famous Data Science courses.

Python for Data Science and Machine Learning Bootcamp
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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

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 boot camps 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 courses for data science and machine learning on Udemy!

Data Science A-Zā?¢: Real-Life Data Science Exercises Included
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What you'll learn
• Successfully perform all steps in a complex Data Science project
• Create Basic Tableau Visualisations
• Perform Data Mining in Tableau
• Understand how to apply the Chi-Squared statistical test
• Apply the Ordinary Least Squares method to Create Linear Regressions
• Assess R-Squared for all types of models
• Assess the Adjusted R-Squared for all types of models
• Create a Simple Linear Regression (SLR)

In this course, you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!

This course will give you a full overview of the Data Science journey. Upon completing this course you will know:
• How to clean and prepare your data for analysis
• How to perform basic visualization of your data
• How to model your data
• How to curve-fit your data
• And finally, how to present your findings and wow the audience

Machine Learning, Data Science and Deep Learning with Python
What you will learn
• Build artificial neural networks with Tensorflow and Keras
• Make predictions using linear regression, polynomial regression, and multivariate regression
• Classify images, data, and sentiments using deep learning
• Implement machine learning at massive scale with Apache Spark's MLLib
• Understand reinforcement learning - and how to build a Pac-Man bot
• Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA
• Use train/test and K-Fold cross-validation to choose and tune your models
• Build a movie recommender system using item-based and user-based collaborative filtering
• Clean your input data to remove outliers
• Design and evaluate A/B tests using T-Tests and P-Values

Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of \$120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too!

Data Science and Machine Learning Bootcamp with R
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What you'll learn
• Program in R
• Use R for Data Analysis
• Create Data Visualizations
• Use R to handle CSV, Excel, SQL files or web scraping
• Use R to manipulate data easily
• Use R for Machine Learning Algorithms
• Use R for Data Science

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 complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

Statistics for Data Science and Business Analysis
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What you'll learn
• Understand the fundamentals of statistics
• Learn how to work with different types of data
• How to plot different types of data
• Calculate the measures of central tendency, asymmetry, and variability
• Calculate correlation and covariance
• Distinguish and work with different types of distributions
• Estimate confidence intervals
• Perform hypothesis testing
• Make data-driven decisions
• Understand the mechanics of regression analysis
• Carry out regression analysis
• Use and understand dummy variables
• Understand the concepts needed for data science even with Python and R!

In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations.

Tableau 10 Advanced Training: Master Tableau in Data Science
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What you'll learn
• Create and use Groups
• Understand the difference between Groups and Sets
• Create and use Static Sets
• Create and use Dynamic Sets
• Combine Sets into more Sets
• Use Sets as filters
• Create Sets via Formulas
• Control Sets with Parameters
• Control Reference Lines with Parameters
• Use multiple fields in the color property
• Create highly interactive Dashboards
• Develop an intrinsic understanding of how table calculations work
• Use Quick Table calculations
• Write your own Table calculations
• Combine multiple layers of Table Calculations
• Use Table Calculations as filters
• Use trendlines to interrogate data
• Perform Data Mining in Tableau
• Create powerful storylines for presentation to Executives
• Create powerful storylines for presentation to Executives
• Understand Level Of Details