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Best Data Science Course in Delhi


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Data Science Course in Delhi

With a clear mission of sharpening students’ skills with Data Science Training in Delhi, the ex-employees of Cognizant have come together and successfully trained more than 20,000+ professionals with the Course.

Being aware of the technologies and developments in the field, Madrid Software is a Data Science Institute in Delhi with more than nine years of experience. Our only aim is to serve our students quality content with highly experienced trainers.

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Amit kataria

Founder - Madrid Software

Madrid software, an Ed-tech venture that provides training on technological niches to give the learners a comprehensive support to upraise their careers to the next level.


Having an engineering background and being a part of this fast paced tech industry, I believe quality education and vast knowledge on technology is not the "need" but "necessity". Upskilling is the key to be in the race in this industry and hence I have built Madrid software - a blend of my experience and grip of the IT industry.


With the vision to leverage and provide a holistic career support to learners and providing best manpower to companies, I am eager to render high-quality education and training to all learners and be the literal game-changer for your career. I truly care about your success and would utilize my skills to shape and boost your career.



What Is Data Science & Why It Is The Most Demanding Skill Nowadays?

Are you interested in transforming your career with the power of data? Our Data Science Course in Delhi is the perfect starting point for anyone looking to dive into the exciting world of data science. Whether you're a fresh graduate or a professional looking to upskill, our comprehensive curriculum is designed to provide you with the skills and knowledge needed to become a proficient data scientist.

Our comprehensive data science courses are designed to equip you with the skills and knowledge needed to excel in this rapidly growing field..

Data science remains one of the most promising and in-demand career pathways for qualified individuals.

Data Science is one of the top careers in India today, with companies across various industries looking for professionals who can analyze and interpret large sets of data to inform business decisions. With the rise of AI, machine learning, and big data, the demand for skilled data scientists continues to grow.

If you are interested in becoming a data scientist, the data science course in Delhi offline can help you get started on your path to a rewarding career in this exciting and growing sector.

Simply stated, data science is the study of data. Whether you are doing data science course in Delhi or elsewhere, the course will teach you about methods, tools, and technology to extract, analyze, manage, visualize and store the data for creating in-depth information.

These insights can be created using structured and unstructured data, which are then used to develop data-driven powerful decisions for the business.

So if you want to enroll in a data science course in Delhi with placement assistance or elsewhere, there are few things that you should know or want to know. Some of the plaguing questions are the job opportunities, salary, skill set required, and resume employers are looking into when hiring data scientists.

Who Should Enroll in a Data Science Course?

In today’s data-driven world, the demand for skilled data scientists is skyrocketing. A data science course is an excellent opportunity for individuals looking to build a rewarding career in this dynamic field. But who exactly should consider enrolling in a data science course in Delhi? Let’s break it down:

1. Aspiring Data Scientists

If you’re passionate about analyzing data, uncovering insights, and solving complex problems, a data science course is tailor-made for you. Whether you’re a beginner or have some experience, these courses provide the foundational and advanced skills needed to excel in the field.

2. IT Professionals

IT professionals looking to upskill or transition into a more data-centric role can benefit immensely from a data science course in Delhi. With expertise in programming and technology, IT professionals can quickly adapt to data science tools like Python, R, and machine learning algorithms.

3. Recent Graduates

For recent graduates in fields like mathematics, statistics, computer science, or engineering, a data science course can be a game-changer. It equips you with industry-relevant skills, making you job-ready and opening doors to lucrative career opportunities.

4. Working Professionals Seeking Career Growth

If you’re already working in analytics, business intelligence, or a related field, enrolling in a data science course in Delhi can help you advance your career. Learn advanced techniques like predictive modeling, AI, and big data analytics to stay ahead in the competitive job market.

5. Career Switchers

If you’re looking to switch careers and enter the tech industry, data science is one of the most promising fields. A data science course in Delhi offers comprehensive training, making it easier for career switchers to gain the necessary skills and confidence.

6. Students and Lifelong Learners

Even if you’re still studying or simply passionate about learning, a data science course can be a valuable addition to your skill set. The field of data science is ever-evolving, and staying updated with the latest trends and tools is essential.

Why Choose a Data Science Course in Delhi?

Delhi, being a hub for education and technology, offers some of the best data science courses with experienced instructors, hands-on projects, and industry connections. Whether you’re a local resident or moving to Delhi for education, you’ll find a course that fits your needs and schedule.

Key Skills You’ll Gain:

  • Data analysis and visualization

  • Machine learning and Neural Network concepts

  • Programming languages like Python

  • Statistical modeling and predictive analytics

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Data Science Course in Delhi
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Course Outline

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Our Data Science Course Is Designed By Industry Experts That Gives The Candidate an Edge In The Market



  •   Introduction To Data Science

    •   Python Concepts

    •   Analytics Concepts Of Python

    •   Numpy Package

    •   Introduction To Pandas

    •   Data Manipulation Using Pandas

    •   Pandas Package

    •   Data Munging With Pandas

    •   Data Visualization With Matplotlib

    •   Data Cleaning Techniques

    •   Predictive Modeling Concepts

    •   Machine Learning Concepts

    •   Statistics

    •   SQL

    •   Unsupervised Learning

    •   Supervised Learning

    •   principal component analysis

    •   Random Forest

    •   Support Vector Machine

    •   Tableau

    •   Case Studies

    •   Capstone Project


Case Studies



YouTube: Analyse and Predict Top Trending Videos for Each Category.
YouTube using Machine Learning based predictive modelling techniques to identify the top trending videos for a particular location based on the results achieved through analyzing the no. of likes, subscription and text mining the key words in user comments and no. of shares over internet.

Tesla Driver Less Cars: Artificial intelligence.
The current AI technologies in Tesla cars are based on unsupervised machine learning which impart decision making capabilities in driver less cars using chips and sensors. It aims to enable cars to navigate through freeways and even traffic on its own.

Zomato: Pick Best Restaurants of the City.
Zomato using predictive modelling machine learning techniques to identify the best resturant in metropolitan cities by analysing the key performance indicators like customer like, mapping positive feedback through text mining, user feedback ratings and type of cuisines served at the resturant.

Netflix: Machine Learning Project on Recommendation System .
Netflix Recommendation systems collect customer data and auto analyze this data to generate customized recommendations for the customers. These systems rely on both implicit and explicit data and based on the pattern present in the data the system provides recommendation to user.

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  • Course Curriculum Design by Industry Experts
  • Real Time Assignments Case Study & Projects
  • Got Better Salary Hike and Promotion
  • Industry recognized certificates
  • Mock tests and Mock interview
  • Dedicated placement coordinator assigned to every
        candidate

Why Choose Madrid Software Trainings





  • Live Project Based Training



  • Recorded Session After Every Class



  • Assignments & Assessments Test

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Data Science Interview Q & A


1.What is logistic regression in Data science?

Logistic regression measures the relationship between the dependent variable (our label of what we want to predict) and one or more independent variables (our features) by estimating probability using its underlying logistic function (sigmoid). Logistic Regression is also called as the logit model. It is a method to forecast the binary outcome from a linear combination of predictor variables.

2.Differentiate between univariate, bivariate, and multivariate analysis ?

  • Univariate - Univariate data contains only one variable. The purpose of the univariate analysis is to describe the data and find patterns that exist within it.

  • Bivariate - Bivariate data involves two different variables. The analysis of this type of data deals with causes and relationships and the analysis is done to determine the relationship between the two variables.

  • Multi-variate - Multivariate data involves three or more variables, it is categorized under multivariate. It is similar to a bivariate but contains more than one dependent variable.

3.How does data cleaning play a vital role in the analysis?

Dirty data often leads to the incorrect inside, which can damage the prospect of any organization. For example, if you want to run a targeted marketing campaign. However, our data incorrectly tell you that a specific product will be in-demand with your target audience; the campaign will fail.

4.What is the difference between supervised and unsupervised machine learning?

Supervised machine learning – It used unknown and labeled data. It has a feedback mechanism. The most commonly used supervised ML algorithms are decision trees, logistic regression, and support vector machines.

Unsupervised machine learning – It doesn’t require labeled data. Unlike supervised machine learning, it has no feedback mechanism. k-means clustering, hierarchical clustering, and apriori algorithm are the most commonly used unsupervised algorithms.

5.Explain the Decision Tree algorithm in detail?

A decision tree is a popular supervised machine learning algorithm. It is mainly used for Regression and Classification. It allows breaks down a dataset into smaller subsets. The decision tree can able to handle both categorical and numerical data.

6.What do you understand by the term recommender systems? Where are they used?

A subclass of information filtering systems that are meant to predict the preferences or ratings that a user would give to a product are recommender systems. Recommender systems are widely used in movies, news, research articles, products, social tags, music, etc. It helps you to predict the preferences or ratings which users likely to give to a product.

7.What is the p-value? What is its importance?

When you conduct a hypothesis test in statistics, a p-value allows you to determine the strength of your results. It is a numerical number between 0 and 1. Based on the value it will help you to denote the strength of the specific result.

p-value typically ≤ 0.05 shows strong evidence against the null hypothesis; so you reject the null hypothesis.

p-value typically > 0.05 shows weak evidence against the null hypothesis, so you accept the null hypothesis.

p-value at cutoff 0.05, this is considered to be marginal, meaning it could go either way.

8.We want to predict the probability of death from heart disease based on three risk factors: age, gender, and blood cholesterol level. What is the most appropriate algorithm for this case?

Choose the correct option:

  • Logistic Regression
  • Linear Regression
  • K-means clustering
  • Apriori algorithm

    • The most appropriate algorithm for this case is A, logistic regression.

9.Below are the eight actual values of the target variable in a train file. Find out the entropy of the target variable.

[0, 0, 0, 1, 1, 1, 1, 1]
Choose the correct answer.

  • -(5/8 log(5/8) + 3/8 log(3/8))
  • 5/8 log(5/8) + 3/8 log(3/8)
  • 3/8 log(5/8) + 5/8 log(3/8)
  • 5/8 log(3/8) – 3/8 log(5/8)

The target variable, in this case, is 1.
The formula for calculating the entropy is:
Putting p=5 and n=8, we get
Entropy = A = -(5/8 log(5/8) + 3/8 log(3/8))

10.Why do you want to be a data scientist?

The answer may vary from person to person. The aim is, to be honest, and polite. You may answer this like this. “I have a passion for working for data-driven, innovative companies. Your firm uses advanced technology to address everyday problems for consumers and businesses alike, which I admire. I also enjoy solving issues using an analytical approach and am passionate about incorporating technology into my work.”

FAQ


1. Who Should Do a Data Science Course?

Beginners and working professionals, both are eligible to do pg program in data science. To become a data scientist, you could earn a Bachelor's degree in Computer science, Social sciences, Physical sciences, and Statistics. You need to know programming languages like Python, Perl, C/C++, SQL, and Java.

2.What Are The Most Valuable Skill For a Data Science Professional ?

The most valuable skills for data science professionals are as follows:

  • Probability & Statistics
  • Multivariate Calculus & Linear Algebra
  • Programming, Packages, and Software
  • Data Wrangling
  • Database Management
  • Data Visualization
  • Machine Learning / Deep Learning
  • Cloud Computing
  • Microsoft Excel
  • DevOps

3. Is This Courses Useful For Non-Tt Professional

Any person with a structural thought process, good logical thinking skills, conviction towards learning new tools, and with a good business perspective can get into the field of data sciences. It’s not exceptional coders or highly knowledgeable people that are required.

4. What Is The Average salary Of a Data Scientist

The salary depends upon the company you are entering. The average data scientist’s salary is ₹698,412. As your experience and skills grow, your earnings rise dramatically as senior-level data scientists around more than ₹1,700,000 a year in India!

5. What Are The Top Algorithms That Every Data Science Professional Must Know

The top algorithms are:

  • Decision Tree
  • Logistic Regression
  • Linear Regression
  • SVM (Support Vector Machine) ...
  • Naive Bayes
  • KNN
  • K-Means Clustering
  • Random Forest
  • Dimensionality Reduction Algorithms
  • Neural Network

6. How Much Math In Statistics Is Used In Data Science

Math and Statistics for Data Science are essential because these disciples form the basic foundation of all the Machine Learning Algorithms. But, practical data science doesn't require very much math at all. It only requires skill in using the right tools. In statistics, you should know about probability distributions, statistical significance, hypothesis testing, and regression.

7. Which Programming Language Is Most Widely Used For Data Science

Python is the most popular and widely used data science programming language in the world today. It is an open-source, easy-to-use language that has been around. This general-purpose and vibrant language is innately object-oriented. It also ropes numerous paradigms, from functional to structured and procedural programming.

8.What Are The Top Companies In India To Work For After Completing Data Science Course

Many companies in India recruit Data Science professionals from entry-level to higher positions. Some of the top recruiters of Data Science and Big Data professionals in India for which you can work after completing the data science course are Equifax, Accenture, Amazon, Deloitte, LinkedIn, MuSigma, Flipkart, IBM, Citrix, Myntra, Juniper Network, etc

9. Do We Get a Data Science Course in Delhi NCR with Placement Support After Completing The Course?

Yes, Madrid Software Trainings provide 100% placement support after the course and don’t throw at the deep end!

10.Do We Get Online Data Science Training Also In Madrid Software?

Yes, Madrid Software Trainings also provides online training for data science.

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