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The Data Science Course 2021: Complete Data Science Bootcamp

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
4.6
4.6/5
(95,961 reviews)
420,784 students
Created by

10.0

CourseMarks Score®

10.0

Freshness

9.6

Feedback

10.0

Content

Platform: Udemy
Video: 28h 54m
Language: English
Next start: On Demand

Top Data Analysis courses:

Detailed Analysis

CourseMarks Score®

10.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 7/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.6 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

10.0 / 10
Video Score: 10.0 / 10
The course includes 28h 54m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 5 hours 32 minutes of 234 Data Analysis courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

90 articles.
501 resources.
0 exercise.
0 test.

Table of contents

Description

The Problem
Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.     
However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.    
And how can you do that?  
Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)   
Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture  
The Solution   
Data science is a multidisciplinary field. It encompasses a wide range of topics.   
•Understanding of the data science field and the type of analysis carried out  
•Mathematics  
•Statistics   
•Python   
•Applying advanced statistical techniques in Python   
•Data Visualization  
•Machine Learning  
•Deep Learning  
Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is.   
So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2021.   
We believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place.  
Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).   
The Skills
   1. Intro to Data and Data Science
Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean?     
Why learn it?As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This ‘Intro to data and data science’ will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science. 
   2. Mathematics 
Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail.   
We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on.   
Why learn it?  
Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal.
   3. Statistics 
You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist.  
Why learn it?  
This course doesn’t just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist.
   4. Python
Python is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That’s why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.
Why learn it?   
When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language.  
   5. Tableau
Data scientists don’t just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. 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 learn it?   
A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers.  
   6. Advanced Statistics 
Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail.  
Why learn it?  
Data science is all about predictive modelling and you can become an expert in these methods through this ‘advance statistics’ section.  
   7. Machine Learning 
The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow.  
Why learn it?   
Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines.  
***What you get***
•A $1250 data science training program   
•Active Q&A support  
•All the knowledge to get hired as a data scientist  
•A community of data science learners  
•A certificate of completion   
•Access to future updates  
•Solve real-life business cases that will get you the job   
You will become a data scientist from scratch  We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.
Why wait? Every day is a missed opportunity.
Click the “Buy Now” button and become a part of our data scientist program today. 
 

You will 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

Requirements

• No prior experience is required. We will start from the very basics
• You’ll need to install Anaconda. We will show you how to do that step by step
• Microsoft Excel 2003, 2010, 2013, 2016, or 365

This course is for

• You should take this course if you want to become a Data Scientist or if you want to learn about the field
• This course is for you if you want a great career
• The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

How much does the The Data Science Course 2021: Complete Data Science Bootcamp course cost? Is it worth it?

The course costs $16.99. And currently there is a 82% discount on the original price of the course, which was $94.99. So you save $78 if you enroll the course now.
The average price is $12.8 of 234 Data Analysis courses on Udemy.

Does the The Data Science Course 2021: Complete Data Science Bootcamp course have a money back guarantee or refund policy?

YES, The Data Science Course 2021: Complete Data Science Bootcamp has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the The Data Science Course 2021: Complete Data Science Bootcamp course, but there is a $78 discount from the original price ($94.99). So the current price is just $16.99.

Who is the instructor? Is 365 Careers a SCAM or a TRUSTED instructor?

365 Careers has created 75 courses that got 454,796 reviews which are generally positive. 365 Careers has taught 1,544,110 students and received a 4.5 average review out of 454,796 reviews. Depending on the information available, 365 Careers is a TRUSTED instructor.
Creating opportunities for Business & Finance students
365 Careers is the #1 best-selling provider of business, finance, and data science courses on Udemy. The company’s courses have been taken by more than 1,500,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.    

Currently, the 365 focuses on the following topics on Udemy:    1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics, Data literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla’s Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

5) Blockchain for Business

All of our courses are:  

– Pre-scripted  

– Hands-on    

– Laser-focused   

– Engaging   

– Real-life tested   

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a data scientist, a business analyst, a data analyst, a business intelligence analyst, a business executive, a finance manager, an FP&A analyst, an investment banker, or an entrepreneur365 Careers’ courses are the perfect place to start. 

10.0

CourseMarks Score®

10.0

Freshness

9.6

Feedback

10.0

Content

Platform: Udemy
Video: 28h 54m
Language: English
Next start: On Demand

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