Category: Technology

Free courses in software data science statistics machine learning

Education online had its own issues, it promotes self-learning, however for students group learning is very important, with group learning you will share ideas ask questions and learn from the group.

With online learning, the scope of interaction is limited unlike in the classroom.

Quality of education suffered during the pandemic due to this online mode switch worldwide.

Below are a few quality courses on data science and statistics that might be useful for your career.

Data Analysis with Python

Machine Learning with Python

R-Programming

Also please check “Descriptive Predictive Prescriptive Statistics“

Descriptive Predictive Prescriptive Statistics

A most important subject for everybody to apply in their life and also in work, however, we ignore it after school or are not being taught the real purpose of the subject.

If you see the below explanations, then you will realize what we can do with the subject of statistics.

• Descriptive statistics: Describes the problem, and identifies the problem from the given data.
• Predictive statistics: Predicts what would happen if one part of the data is changed.
• Prescriptive statistics: Based on descriptive and predictive analysis prepares a model and action plan to remediate the problem.

Also please check about “Data science and Machine Learning“

Please see the below video to learn a quick overview of statistics in 40 minutes.

Data Science and Machine learning basics

There is a lot of interest in Data science and Machine learning, Let’s get a quick grasp on what these terms mean and what we need to learn to be a part of this profession.

Machine learning:

• Is about coding, and doing mathematics on data.
• Applying algorithms to data to get productive outcomes.
• Finding patterns that can be exploited for business outcomes.
• Real-time applications like chatbots, image recognition, and product choice suggestions based on customer behavior, are irrelevant to specific domain expertise.

Data Science:

• Is a combination of Coding, Statistics, and Domain expertise.
• a similar job like research lab scientist may be true to an extent, but not completely,
• If you are sanitizing the data for analysis by writing a program you are doing the data science job, usually, python or R language is used along with SQL may be (an example if you want to pipe the data to a database)
• If you are managing the storage of large amounts of data, you are doing the data-science job.
• Deriving product offerings from the data after applying machine learning and algorithms, this in term monetizes the data.
• Data science is a very diverse field, with many different tools, and many different teams, like coding, statistics, design, presentation, etc…
• at the end of the day, each data science project is teamwork of coders, statisticians, engineers, business, and management.

Below is an excellent video explaining the basics

Also please check on “Failure and Jealousy“