Learn Data Science
It doesn’t matter if you want to become a data scientist or not, there are still things that one needs to learn in the field of data science and machine learning.
If you want to learn basic math, then go for it. If you wanna learn Python and SQL with just some time, then let me tell you what is the best way to learn data science?
The easiest way to understand is using this free course that I have created. It’s the most practical course ever created that will teach you how to train a model on Kaggle competitions. Yes! This is going to be a great journey for people who are interested in machine learning as well and want to start from scratch when it comes to data science and machine learning.
This course will teach you everything that you need to know about how to process and apply for jobs such as data science positions at companies all over the world. So what are you waiting for? Start the easy course today!
Data Sciences Courses On Kaggle
There was a long backlog of Kaggle’s open jobs but they are finally out of their backlog. Here’s what you need to know about them:
You have been registered for the courses by clicking on the “Kaggletask” button below.
What Are You Waiting For? Start The Course Today!!
Course Details:
This course has 8 lessons that will help you understand and gain insights into Kaggle competitions. Each lesson consists of 4 sections that will discuss different aspects related to the training and evaluation of your model.
1st section will cover basics of statistics
2nd section will cover models such as linear regression and non-linear regression
3rd section will talk about algorithms for feature selection
4th section will look at models like decision trees, random forest and ensemble methods
5th section will cover predictive modeling techniques like deep neural networks and boosted trees
6th section will cover optimization techniques
7th section will focus on visualization and visualization
8th section will describe complex projects for real-world problems
Let’s explore these concepts and see what interesting things can we do with these advanced concepts.
Data Scientists Should Understand Algorithms
We do not need fancy libraries and tools to solve our problem. We simply need good data scientists that would have skills to crunch numbers, and crunch numbers fast. The reason why data scientists have more important role than others is that they have more skill to digest large amounts of data and come up with new results.
They deal with larger data sets and have expertise to identify patterns and use the same pattern to predict future events. They do not need any fancy frameworks. They simply need to understand the business problem to find an effective solution to solve. That’s where algorithms come in! Algorithms are usually used for classification or regression and other similar tasks.
Statistics is always a part of data science
Statistics is always important because it defines the nature of the task/problem. Statistics helps us understand our variables, perform statistical tests, interpret the results and identify trends among variables. There are many fields of mathematics that you should be aware of. Also, you can look for resources on kaggle to learn more about what is available on kaggle.
If you are not aware of these concepts, then you will lose an opportunity when you apply for any job. Let me also tell you about something that you need to learn right now: don’t waste time in choosing the topics. Don’t choose only the cool and popular subjects because popular subjects are easier to study and you think that those subjects will teach you lots of interesting stuff. Be careful! Take advantage of these topics as soon as possible because there are so much material and so many resources. Go ahead and read.
How To Learn Mathematics In Less Time Than You Think
There are plenty of books to learn and research on math and statistics. Why do you need to read all that? You need to keep reading and looking at the topics. The fact is that some people are better at reading, while others prefer to do research work. Most of the times, it is useful to review the first chapters of a book before starting to read. A book that you have read is better than a blog post. It gives additional information on the topic and helps you discover new ways to tackle the issues.
The book is always relevant and offers you a lot to understand the concept better. When I started my career, I was very frustrated, I thought I didn’t learn anything. But as my experience goes, things work out pretty well when you study on the book! Now, some materials may seem outdated to you when you start training and the first couple of days of training. However, the second few days are essential to bring the concepts that we got during our studies and make it useful again. By doing that, we are able to build a solid base by applying these techniques as well as the knowledge that we have acquired.
I recommend that you try to get familiar with one or two pages so that you can compare results with each other. After that, you can apply certain parts of your knowledge as well as you learned. So, get your hands on this book, read it, and start making use of it as frequently as possible. No doubt, you will thank me later!
