Best 7 data science courses

TOP 7 FREE AND PAID DATA SCIENCE COURSES! Hi. I am David, admin of DataScientist88 blog. Today, let me share all of you about #top 7 free ...

TOP 7 FREE AND PAID DATA SCIENCE COURSES!

Hi. I am David, admin of DataScientist88 blog. Today, let me share all of you about #top 7 free and paid data science courses as below. I hope you enjoy it.


1. The Data Science Course 2019: Complete Data Science Bootcamp - Udemy



Course description: 

+ Instructor: 365 Careers, 365 Careers Team
+ Rated: 4.5*/5 (11,038 ratings)
+ 54,669 students enrolled
+ 30-Day Money-Back Guarantee
+ 20.5 hours on-demand video
+ 70 articles
+ 118 downloadable resources
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion

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 which 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 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 TensorFlowDevelop a business intuition while coding and solving tasks with big data
+ Unfold the power of deep neural networks
+ Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-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

For more details and student reviews, pls click here

2. Free lessons: Data Science Tutorial Videos

+ Learning method: Watch YouTube playlist
+ Author: Simplilearn


3.  IBM Data Science Professional Certificate - Coursera:



Course description: 

A Professional Certificate program is a series of online courses that help you become job-ready. Some Professional Certificates prepare you to launch a career in a specific field like IT support, while others help you to pass an industry certification exam. To begin, enroll in the program or choose a single course you'd like to start with. When you subscribe to a course that is part of a Professional Certificate program, you’re automatically enrolled in the full program. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to manage your course enrollments and track your progress.

Instructors:

+ Joseph Santarcangelo
Ph.D., Data Scientist at IBM
IBM Developer Skills Network
+ Alex Aklson
Ph.D., Data Scientist
IBM Developer Skills Network
+ Rav Ahuja
Data Science Program Manager
IBM
+ SAEED AGHABOZORGI
Ph.D., Sr. Data Scientist
IBM Developer Skills Network
+ Polong Lin
Data Scientist
IBM Developer Skills Network

Rated: 4.6*/5 by 31,000+ students

For more details and student reviews, pls click here

4. Data Science A-Z™: Real-Life Data Science Exercises Included - Udemy



Course description: 

+ Instructor: Kirill Eremenko, SuperDataScience Team
+ Rated: 4.5*/5 (17,580 ratings)
+ 97,746 students enrolled
+ 30-Day Money-Back Guarantee
+ 21 hours on-demand video
+ Full lifetime access
+ Access on mobile and TV
+ Certificate of Completion

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 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)
+ Create a Multiple Linear Regression (MLR)
+ Create Dummy Variables
+ Interpret coefficients of an MLR
+ Read statistical software output for created models
+ Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
+ Create a Logistic Regression
+ Intuitively understand a Logistic Regression
+ Operate with False Positives and False Negatives and know the difference
+ Read a Confusion Matrix
+ Create a Robust Geodemographic Segmentation Model
+ Transform independent variables for modelling purposes
+ Derive new independent variables for modelling purposes
+ Check for multicollinearity using VIF and the correlation matrix
+ Understand the intuition of multicollinearity
+ Apply the Cumulative Accuracy Profile (CAP) to assess models
+ Build the CAP curve in Excel
+ Use Training and Test data to build robust models
+ Derive insights from the CAP curve
+ Understand the Odds Ratio
+ Derive business insights from the coefficients of a logistic regression
+ Understand what model deterioration actually looks like
+ Apply three levels of model maintenance to prevent model deterioration
+ Install and navigate SQL Server
+ Install and navigate Microsoft Visual Studio Shell
+ Clean data and look for anomalies
+ Use SQL Server Integration Services (SSIS) to upload data into a database
+ Create Conditional Splits in SSIS
+ Deal with Text Qualifier errors in RAW data
+ Create Scripts in SQL
+ Apply SQL to Data Science projects
+ Create stored procedures in SQL
+ Present Data Science projects to stakeholders

For more details and student reviews, pls click here

5. Free lessons: Data Science Training Videos

+ Learning method: Watch YouTube playlist
+ Author: edureka!


6. Free lessons: Python Tutorial: Learn Python For Data Science

+ Learning method: Watch YouTube playlist
+ Author: edureka!


7. Free lessons: Data Science Excel

+ Learning method: Watch YouTube playlist
+ Author: Amit Chhatbar



More free course: Statistics for Data Science tutorial

+ Learning method: Watch YouTube playlist
+ Author: Packt Video



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