The This course is ideal for beginners as it begins with the basics and builds on your skills. File Size: 15.5GB
The Data Science Course 2020: Complete Data Science Bootcamp
The Problem
Data Scientist is one of the most well-suited occupations in this century. It is digital, programming-oriented, and analytical. Data scientists have been in high demand, so it is not surprising that they are on the rise.
Unfortunately, the supply is very limited. It is very difficult to obtain the skills needed to be hired to work as a data scientist.
And how do you do it?
The creation of data science programs at universities has been slow. These programs are not only expensive, but also time-consuming.
Many online courses are focused on a single topic. It can be difficult to see how the skills they teach fit into the larger picture.
The Solution
Data Science is multidisciplinary. Science covers many topics.
Understanding data science and the types analysis performed
Mathematics
Statistics
Python
Advanced statistical techniques in Python
Data Visualization
Machine Learning
Deep Learning
Each topic builds upon the last. And you risk getting lost along the way if you don’t acquire these skills in the right order. Machine Learning techniques would be difficult if one doesn’t understand the mathematics behind them. It can also be difficult to understand regression analysis in Python without knowing what it is.
Download it immediately The Data Science Course 2020: Complete Data Science Bootcamp
In an effort to make the best, most efficient, and most structured online data science training, we created The Data Science Course 2020.
We believe that this program solves the most difficult problem in data science entry: having all the required resources at one location.
Furthermore, we strive to make topics flow seamlessly and complement each others. The Course teaches you everything that you need to know in order to become a data analyst at a fraction the price of traditional programs. Not to mention the time savings.
The Skills
1. Intro to Data Data Science
Business intelligence, big data, business intelligence and machine learning are all terms that can be used to describe artificial intelligence. Although we all know that these terms are used in the field of data science, what do they mean?
Why not learn it? You must be able to recognize the right approach to solving a problem as a candidate data scientist. This ‘Intro to data and data science’ These buzzwords will be discussed and where they are placed in data science.
2. Mathematics
Data science starts with learning the tools. To see the whole picture, you must first look at the individual parts.
We will be focusing on linear algebra and calculus as these are the subfields that data science depends upon.
Why not learn it?
For data science programming, linear algebra and calculus are vital. These skills are essential if you wish to be able to comprehend advanced machine learning algorithms.
3. Statistics
To become a scientist you must think like a scientist. Statistics teaches you how to think like a scientist by teaching you how to create hypotheses from problems and then test them.
It is worth learning.
This course doesn’t just give you the tools you need but teaches you how to use them. Statistics teaches you how to think like scientists.
4. Python
Python is a relatively recent programming language. It is also a general-purpose programming languages, unlike R. It can be used for almost any purpose. You can use it to create web applications, games and data science. That’s why, in a short space of time, it has managed to disrupt many disciplines. Libraries that allow data manipulation, transformation, visualization and visualisation have been created with incredible power. Python shines when it deals in machine and deep learning.
Why not learn it?
Python is an essential programming language when it comes to creating, implementing and deploying machine-learning models using powerful frameworks like scikit-learn, TensorFlow etc.
5. Tableau
Data scientists don’t just need to deal with data and solve data driven problems. They must convince executives about the best decisions. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data’s story in a way they will understand. That’s where Tableau comes in – and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science.
Why not learn it?
Data scientists rely on Tableau business intelligence tools to communicate complex results to nontechnical decision-makers.
6. Advanced Statistics
Before machine learning, regressions, clustering and factor analysis were all invented. These statistical methods can now be performed using machine learning to produce predictions with unmatched accuracy. These techniques will be discussed in this section.
Why not learn it?
Data Predictive modelling is the heart of science. You can be an expert in this field by learning these methods. ‘advance statistics’ section.
7. Machine Learning
The Deep learning is the final section of the program. This is what each section has been building up to. A data scientist can use machine and deep learning in his or her work. This is often what separates data analysts from data scientists. This section will cover all the machine learning and deep learning methods that TensorFlow offers.
Why not learn it?
Machine learning is everywhere. For years, companies such as Amazon, Google and Facebook have used machines that learn by themselves. This is your chance to take control of the machines.
***What you get***
A $1250 training program in data science
Active Q&A support
All the knowledge you need to get hired as data scientist
A network of data science students
A certificate of completion
Future updates available for download
Real-life business problems that will help you get the job
Data scientist will be your starting point
We offer a 30-day unconditional money-back guarantee. You take no risk The We are confident that you will enjoy the course’s content.
Don’t wait! Every day is an opportunity missed.
Click here “Buy Now” Click here to become a data scientist today.
Who is this course for?
This course is recommended if you wish to be a professional photographer. Data Scientists and those interested in learning more about the field
If you are looking for a great career, this course is right for you
The This course is great for beginners as it begins with the basics and builds on your skills.
Course Features
- Lectures 0
- Quizzes 0
- Duration Lifetime access
- Skill level All levels
- Students 0
- Assessments Yes