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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo 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 AvailabilityCertificate Providing Authority
yesCoursera

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


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. 

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