How to Begin and Enroll for Data Science Courses easily?

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-Z�?�: Real-Life Data Science Exercises Included

Enroll Now

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

Enroll Now

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

Enroll Now

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

Enroll Now

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

Enroll Now

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
Implement Advanced Mapping Techniques

Hours of professional Tableau Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the REAL WORLD.

In this course you will learn:

How to use Groups and Sets to increase your work efficiency 10x
Everything about Table Calculations and how to use their power in your analysis
How to perform Analytics and Data Mining in Tableau
How to create Animations in Tableau
And much, much more!

Source: HOB

Share This On

Previous Story Next Story

Latest News Feed