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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science.

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods.

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science.

The Highlights

Online learning programme
Discussion forum
Financial aid available
Shareable certificate
Flexible deadlines
Advanced level course
Lectures in English with subtitles in various languages
Self-paced training
Offered by National Research University Higher School of Economics

Programme Offerings

Shareable Certificate
discussion forum
Email Updates and Communication
Course Completion in Approximately 53 Hours
Intermittent Quizzes
Reading Material

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Coursera

For the How to Win a Data Science Competition: Learn from Top Kagglers course, you can access the 7-course Specialisation in Advanced Machine Learning and get a shareable certificate. Besides, you can opt for the Coursera Plus monthly subscription to access this course, along with other 3000 learning programs.

How to Win a Data Science Competition: Learn from Top Kagglers Fee Structure

Course	Fee
7-course specialisation	Rs. 3,686/month

Eligibility Criteria

The prerequisites for the How to Win a Data Science Competition Programme by Coursera involves knowledge of Python and Machine Learning. In Python, you must understand plotting figures in Matplotlib, working with DataFrames in pandas, Scikit-learn, LightGBM, and XGBoost. For ML, fundamental knowledge of linear models, neural networks, and K-NN are essential concepts.

What you will learn

Predictive Modeling knowledge

After satisfactory completion of all the modules of the How to Win a Data Science Competition: Learn from Top Kagglers class program, you will:

Learn solving predictive modelling competitions quickly
Learn skills which can be applied in the real world
Understand the preprocessing of data and generating new features from texts, images, etc.
Develop an understanding of generating mean and other advanced feature engineering methods
Benchmark your solutions by forming trusted validation techniques
Perform data interpretation, and analysis experience is gained
Know about inconsistencies, errors, and other issues related to data
Study about combining and the ensemble of various machine learning models
See past winning codes and be able to read them

Who it is for

Data AnalystData ScientistMachine Learning EngineerData Engineer

Admission Details

To apply for How to Win a Data Science Competition: Learn from Top Kagglers live course, you must follow the following steps:

Step 1. Go to the Coursera website- https://www.coursera.org/.

Step 2. Search for ‘How to Win a Data Science Competition: Learn from Top Kagglers’ course in Coursera’s catalogue and open the course information page.

Step3. Click on the ‘Enroll’ option on the page.

Step 4. Follow the instructions to enrol in the course, and if you are subscribing to Coursera for the first time, you might get the ‘free trial’ option.

Step 6. Finally, make the payment if you are purchasing the courses in the specialisation and desire a certificate on course completion. You get complete access to all seven courses in the Advanced Machine Learning specialisation. Or, you can choose to audit a single course.

Application Details

To enrol in the How to Win a Data Science Competition Programme by Coursera, sign up or sign in on Coursera with your Google/Facebook/Coursera ID. To view the programme resources, use the 7-day free trial option. However, to access programme certification, you need to upgrade by buying the programme.

The Syllabus

About the University
Course overview
Competition mechanics
Kaggle overview
Main ML algorithms recap
System requirements

Numeric features
Datetime
Coordinates
Categorical features
Ordinal features
Missing values handling
Word2vec, CNN

Introduction
Building intuition
Anonymised data
Visualisations
Springleaf competition EDA
Numerical competition

Introduction
Overfitting
Validation strategies
Challenges associated with overfitting
Data splitting techniques

Introduction
Expedia challenge
Leaderboard probing
Rare data leaks example

Motivation
Regression Metrics
Classification metrics
Metric optimisation approaches
Regression metrics optimisation
Optimisation of classification metrics

Mean encoding
Extensions
Regularisation
Generalisations
Statistics
Distance-based features
t-SNE
Feature interactions

Hyperparameter tuning
Practical guide
KazAnova’s competition pipeline

Ensemble methods
Boosting
Bagging
StackNet
Stacking
CatBoost
Ensembling tricks and tips

Springleaf response
Crowdflower competition
MS Malware Classification
Acquired value shoppers problem
Trip type classification: Walmart

HSE University Frequently Asked Questions (FAQ's)

1: When will I be having access to assignments and lectures?

If you have chosen to take the course in audit mode, you can access most of the course materials for free. Further, you get access to the course material from the get-go.

2: What can I avail, if I subscribe to this specialisation?

On subscribing for the How to Win a Data Science Competition-Learn from Top Kagglers Course, you can access all course materials and get your assignments graded. On course completion, you will get an electronic certificate for your accomplishment.

3: Can I avail financial assistance on joining How to Win a Data Science Competition-Learn from Top Kagglers certification course ?

You can avail financial assistance for the Coursera How to Win a Data Science Competition: Learn from Top Kagglers course. You can apply for the same by filling out an application with certain details. Upon approval, you will be duly notified.

4: Will the course compilation provide me university credits?

The How to Win a Data Science Competition: Learn from Top Kagglers Online Course does not carry any university credits.

5: What are the learner career outcomes?

This course has given fresh career opportunities to 14 percent of the course-takers. Twenty percent of the individuals have received a promotion, or raise after completion of this course. Palpable career benefits have been received by 22 percent of the learners.