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Post Graduate Program in Data Science Course in Delhi
PG in Data Science Institute in Delhi

PG in Data Science Institute in Delhi India's No-1 PG Program in Data Science & Machine Learning Course Institute With Most Advanced Course Curriculum

PG in Data Science Institute in DelhiAcademic Partner - Hewlett Packard



What Is PG Program in Data Science & Machine Learning Course & Why It Is The Most Demanding Skill Now a Days?

  • Data science is the field of study combining domain expertise, programming skills, and information about mathematics and statistics to haul out meaningful insights from data. Data science practitioners, aka data scientists, apply machine-learning algorithms to numbers, video, audio, text, images, and more to produce artificially intelligent systems to perform tasks that typically require human intelligence. In turn, these systems create insights that analysts and business users can translate into substantial business value.

    Machine learning is a subset of artificial intelligence (AI) that provides systems with the capacity to learn and improve from experience without being unambiguously programmed automatically. Machine learning focuses on generating computer programs that can access data and utilize it to learn for themselves.

Why are data science and machine learning significant?

Data science and machine learning are entangled and can exist coherently. With the ability to oversimplify knowledge from data, machine learning needs data and vice-versa.

Conventional solutions used for data analysis do not capitulate desired results as they are outdated to handle modern-day queries. Due to all these reasons, machine learning applications present improved options that can analyze large volumes of information at any given point in time.

One of the most appropriate data science skills is the ability to assess machine learning. There is no shortage of cool stuff in data science to do the shiny new algorithms to throw at data. However, what it lacks is why things work and how to solve non-standard problems, where machine learning will come into play.

Why are data science and machine learning high in Demand?

Machine learning training will be valuable in the coming years for people who belong to the IT sector.

Corporations and governments gather massive amounts of data generated every second of every day by people worldwide. Data scientists with machine learning skills know how to read and interpret data and manage, store, and protect them. They use programming languages to fabricate data management software and generate hardware and network systems to accumulate this information.

Meanwhile, a report states that India doubled its artificial intelligence (AI) workforce to 72,000 in 2019 from 40,000 in 2018, witnessing a growth of 200%.

In India, the national average salary for a Data Scientist is ₹9 00,000 (US$ 12254.00), while it is ₹11,01,531 (US$ 14997.96) for Machine learning.

Become a data science machine learning professional today –

You can kickstart your lucrative career with the pg program on data science and machine learning in Delhi. This program gives you an in-depth knowledge of Python, Deep Learning with the Tensor flow, Computer Vision, Natural Language Processing, Speech Recognition, and Reinforcement Learning.

The comprehensive Post Graduate Program provides you an international certificate from Hewlett Packard. Madrid Software Trainings is the leading player in ML and Data Science training and is recognized as the best data science and machine learning institute in Delhi.

The game-changing PG program will help you stand in the pack and grow your career in thriving fields like data science, machine learning, and deep learning.

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Top PG Data Science training institute in Delhi

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



  •   Introduction to Analytics

    •   Introduction to Data Science with Python

    •   Python Basics: Basic Syntax, Data Structures

    •   Python Concepts (Core)

    •   Predictive Modeling Concepts

    •   Machine Learning Concepts

    •   Introduction to R Programming

    •   Regression in R

    •   MY SQL

    •   Natural Language Processing Concepts

    •   Big Data Hadoop Concepts

    •   AWS Solution Architect Associate Concepts

    •   Tableau




Job Profile And Salaries Of PG Program in Data Science

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PG Program in Data Science Course 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 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 Training Also In Data Science From Madrid Software Trainings

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

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