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Top 6 Data Science Interview Red Flags

Top 6 Data Science Interview Red Flags

Excited to face your first data science interview? Probably, you must have double-checked your practical skills and theoretical knowledge. Technical interviews are tough yet interesting. Cracking them and bagging your dream job is no mean feat.

Thus, to lend you a helping hand, we’ve compiled a nifty list of some common red flags that plague data science interviews. Go through them and decide how to handle them well!

Boring Portfolio

Having a monotonous portfolio is not a crime. Nevertheless, it’s the most common allegation against data scientists by the recruiters. Given the scope, you should always exhibit your organizational and communication abilities in an interesting way to the hiring company. A well-crafted portfolio will give you instant recognition, so why not try it!

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Sloppy Code

Of course, your analytical skills, including coding is going to be put to test during any data science interview. A quick algorithm coding test will bring out the technical value you would add to the company. In such circumstances, writing a clumsy code or a code with too many bugs would be the last thing you want to do. Improving the quality of coding will accelerate your hiring process for sure.

Confusion about Job Role

No wonder if you walk up to your interviewer having no idea about your job responsibilities, your expertise and competence will be questionable. The domain of data science includes a lot of closely related job profiles. But, they differ widely in terms of skills and duties. This is why it’s very important to know your field of expertise and the skills your hiring company is looking for.

Zero Hands-on Experience

A decent, if not rich, hands-on experience in Machine Learning or Data Science projects is a requisite. Organizations prefer candidates who have some experience. The latter may include data cleaning projects, data-storytelling projects or even end-to-end data projects. So, keep this in mind. It will help you score well in the upcoming data science interview.

Lack of Knowledge over Data Science Technicalities

Data analytics, data science, machine learning and AI – are all closely associated with one another. To excel in each of these fields you need to possess high technical expertise. Being technically sound is the key. An interview can go wrong if the recruiter feels you lack command over data science technicalities, even though you have presented an excellent portfolio of projects.

Therefore, you have to be excellent in coding and harbor a vast pool of technical knowledge. Also, be updated with the latest industry trends and robust set of algorithms.

Ignoring the Basics

It happens. At times, we fumble while answering some very fundamental questions regarding our particular domain of work. However, once we come out of the interview venue, we tend to know everything. Reason: lack of presence of mind. Therefore, the key is to be confident. Don’t lose your presence of mind in the stifling interview room.

Thus, beware of these drooping gaps; being a victim of these critical objections might keep you away from bagging that dream data analyst job. Instead, work on them and win a certain edge over others while cracking the toughest data science interview session.

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Note:

If interested in Data Science Courses in Gurgaon, check out DexLab Analytics. We are a premier training platform specialized in in-demand skills, including machine learning using Python, Alteryx and customer analytics. All our courses are industry-relevant and crafted by experts.

 

The blog has been sourced from upxacademy.com/eleven-most-common-objections-in-data-science-interviews-and-how-to-handle-them

 

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Know More, Practice Hard: Best MIS Interview Questions for You

Know More, Practice Hard: Best MIS Interview Questions for You

Management Information Systems (MIS) is a game-changer. Today’s businesses fail to survive long without leveraging some kind of MIS structure – MIS manages humongous amounts of data and processes them to fuel decision-making capabilities.

In a nutshell, MIS is a systematic collection of hardware, people, procedures and software that all work together in sync to process, store and generate information that is useful to the enterprise.

Now, are you gearing up to crack an MIS Executive interview? If the answer is in affirmative then you are at the right place. In this blog, we will talk about some common aspects of MIS and its components – this will help you hone your skills and nurture your talent to become an ace research analyst, data analyst or business analyst.

Highlight the objective of an MIS (Management Information Systems).

The main purpose of an MIS is to help the management to come up with superior, strategic and tactical decisions boosting and securing future company growth.

Mention the various types of MIS.

  • Databank Information System
  • Decision Information System
  • Predictive Information System
  • Transaction Processing System

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What makes MIS so popular?

Take a look below to know what purposes do MIS fulfill, which in turn makes it an indispensable business tool:

  • Management Information Systems is the wonder tool that feeds in relevant information into the minds of decision-makers. This eventually helps them chalk out effective decisions.
  • MIS enables communication within the enterprise as well as outside – employees working within an organization find it extremely easy to lay their hands information for day-to-day operations, but facilities, like emails and SMS, facilitate quick exchange with the customers and suppliers from MIS that the in-question organization has been using.
  • Management Information Systems is an ideal record-keeping tool, keeping in check all business transactions of an enterprise and offering a reference point for transactions.

What are the components of MIS?

The major components of MIS are tabulated below:

  • People are the ones who leverage the information system
  • Data is the essence of MIS
  • Business procedures are the very ways in which you record, store and analyze data
  • Hardware includes workstations, printers, servers, networking equipment and more
  • Software are predetermined programs that handle data – such as database software and spreadsheet programs

Mention the levels of information requirement in an MIS.

  • Organization level
  • Application level
  • Technical level
  • Database level

What are the advantages of MIS?

  • Better data accuracy – say thanks to easy verification checks and data validation!
  • Faster data processing – MIS boosts information retrieval system and ensures fast data processing, leading to an improved and enhanced client-customer relationship.
  • Improved data security – along with restricting user access to the database server, the computerized information system facilitates other security measures, including access right controls, user’s authentication, biometric authentication systems and more.

As a matter of fact, DexLab Analytics is a budding MIS training institute in Gurgaon – it helps professionals and newbies to maintain and revamp the existing MIS within an organization. If interested, you can also hone your advanced Excel skills with Excel training courses in Delhi offered by the same.

The blog has been sourced from – learning.naukri.com/articles/top-mis-executive-interview-questions-answers

 

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Most Popular Tableau Interview Questions with Answers to Learn Right Now

Most Popular Tableau Interview Questions with Answers to Learn Right Now

Tableau is dominating the business intelligence industry. It’s a powerful and fastest growing data viz tool used to simplify complicated raw data. It helps break the data into easy-to comprehend formats.

In this blog, we’ve compiled down the most popular Tableau Interview questions with their answers. The sample questions are framed by seasoned experts, who have encompassing knowledge on the subject matter – they have taken needed care and effort to help you get the correct answers. This will help you on your endeavor of job hunting!

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Mention top 5 main products offered by Tableau.

Tableau specializes in these 5 products – Tableau Server, Tableau Desktop, Tableau Reader, Tableau Online and Tableau Public.

Name the latest version of Tableau Desktop.

Tableau Desktop Version 10.5.

Explain data visualization, and the use of Tableau.

Data visualization is an umbrella term referring to a set of well-defined techniques used for data communication through proper presentation and graphics (such as bars, diagrams, lines or points).

Tableau helps analyze data in an on-premise database, a cloud application, a normal database, a data warehouse or an Excel file – create interesting representations of data and share with your colleagues, friends and clients. You can also use Tableau to include other data too, and help keep your data up-to-date regularly.

Define filters. How many types of filters exist in Tableau?

In Tableau, there are several ways to filter and restrict your data – the outcome may be oriented towards improving performance, helping viewer get the right information or for highlighting something critical.

Three types of filters are as follows:

  • Context Filter
  • Quick Filter
  • Datasource Filter

Do you know how to remove all options from a Tableau auto-filter?

  1. Right click filter
  2. Customize
  3. Uncheck show all option

Why Tableau Extract is better over live connection?

Tableau Extract is easy to use, anywhere, anytime. For this, you don’t need any connection and can construct your own visualizations without connecting yourself with any database.

How many tables can you join in Tableau at the most?

Up to 32 tables can be joined in Tableau, but not more than that.

Define dimensions and facts.

To put simply, dimensions denotes text columns, while facts refer to measures, meaning numerical values.

Examples of dimensions – product name, city

Examples of facts – profit or sales

Highlight the difference between heat map and tree map.

Well, a heat map is an ideal method for comparing groups using size and color. Here, you can easily compare two distinct measures. On the other hand, a tree map is one of the most robust visualization, especially for graphically representing hierarchical data. 

For more in-depth knowledge on Tableau and its related applications, we recommend good Tableau training institutes in Delhi. Tableau certification Delhi is gaining a lot of prominence amidst the data analytics circuit. Hope this helps build a fine career for you!

 

The blog has been sourced fromintellipaat.com/interview-question/tableau-interview-questions

 

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Most Popular Big Data Hadoop Interview Questions 2018 (with answers)

Most Popular Big Data Hadoop Interview Questions 2018 (with answers)

Hadoop is at the bull’s eye of a mushrooming ecosystem of big data technologies – its open source, and widely used for advanced analytics pursuits, such as predictive analytics, machine learning and data mining, amongst others. Hadoop is defined as a powerful open source distributed processing framework that’s ideal for processing of data and storing data for big data applications, running across clustered systems.

Below, we’ve put together a comprehensive list of interview questions with answers on Big Data Hadoop, focusing on the various aspects of the in-demand skill. For more, take up our intensive big data hadoop training in Gurgaon

What is the role of big data in enhancing business revenue?

Big data analysis aids businesses in increasing their revenues and hitting notes of success. To explain further, let’s take an example, Walmart, one of the top notch retailers in the world uses big data analytics to increase the sales figure through improved predictive analytics tool, better customized recommendations and new set of products curated observing customer preferences and latest trends. Interestingly, it observed up to 15% increase in online sales for $1 billion in incremental revenue. Like Walmart, LinkedIn, JPMorgan Chase, Facebook, Twitter, Bank of America, Pandora, etc. follow suit.

Mention some companies that use Big Data Hadoop.

  • Yahoo
  • Netflix
  • Adobe
  • Spotify
  • Twitter
  • Amazon
  • Facebook
  • Hulu
  • eBay
  • Rubikloud

Highlight the main components of a Hadoop application.

Hadoop has a wide set of technologies that offers unique advantages for solving crucial challenges. Hadoop core components are given below:

  • Hadoop Common
  • HDFS
  • Hadoop MapReduce
  • YARN
  • Pig
  • Hive
  • HBase
  • Apache Flume, Chukwa, Sqoop
  • Thrift, Avaro
  • Ambari, Zookeeper

What do you mean by Hadoop streaming?

Hadoop streaming is an additional utility function that accompanies Hadoop distribution. Hadoop distribution includes a standard application programming interface, which is used to write Map and Reduce jobs in a number of languages, such as Python, Ruby, Perl, etc. Hadoop streaming is this entire process – here, users can develop and run jobs with any type of shell scripts or executable as the Mappers or Reducers.

Specify the port numbers for NameNode, Task Tracker and Job Tracker.

  • NameNode 50070
  • Job Tracker 50030
  • Task Tracker 50060

What are the four V’S in Big Data?

  • Volume – Scale of data
  • Velocity – Analysis of streaming data
  • Variety – Different forms of data
  • Veracity – Uncertainty of data

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Distinguish between structured and unstructured data.

Structured data is referred as the data that can be stored in conventional database systems in the form of rows and columns – data, which is stored partially in traditional database systems, is known as semi-structured data – raw or unorganized data is generally termed as unstructured data.

Example of structured data – online purchase transactions

Example of semi-structured data – data in XML records

Example of unstructured data – Facebook & Twitter updates, web logs, reviews

Hope you found these Hadoop interview questions useful; to gain further insights on Big Data Hadoop, please enroll for our big data hadoop training courses – they are adequate and developed considering latest industry demands. 

 

The blog has been sourced fromwww.dezyre.com/article/top-100-hadoop-interview-questions-and-answers-2018/159

 

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Ace an Interview: Top 4 MS Excel FAQs You Need To Know RN

Ace an Interview: Top 4 MS Excel FAQs You Need To Know RN

For more than three decades, MS Excel has been wooing us all. Thanks to its incredible features that help users analyze data, easily and quickly!

Spreadsheets are popular, more than ever before. Companies prefer conducting Excel interviews – it ensures job applicants are qualified and well-versed in using Excel – before job confirmations.

Now, without further ado, we’ll provide you the 4 most common Excel interview questions that recruiters ask for sure. Pore over them – a little bit of advance preparation doesn’t hurt, does it?! It’s better to be confident on interview day than being completely vague about the questions shot at you!

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What are important data formats found in Excel, and how are they used?

Some of the most popular data formats in Excel are given below:

  • Numbers – They are one of the most widely seen data types in Excel. They are mostly formatted with a customized number of decimal places, and can be seen with or without commas separating thousands of digits.
  • Dates – They are displaced in Excel in numerous ways, including the most conventional US style MM/DD/YYYY format. Technically, they are stored as numbers and can be manipulated through a bunch of date-based functions.
  • Strings – Text is mainly stored in Excel in the form of strings. It’s format which includes standard characters, like numbers, letters and punctuation.

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Define a function in Excel.

Functions come secondary when you are a regular Excel user. For so many times, you have used SUM, VLOOKUP and AVERAGE that you mostly have even forgotten using a function while creating spreadsheets.

Now, a function is like a slew of components – which when mixed in the right way turns out something effective and more useful. The name of the function defines the purpose of the function, like what it does – for example, a SUM or an AVERAGE.

The arguments of the function refer to the components that go into it. And the output of the function is whatever useful comes out the other side.

Highlight the order of operations while evaluating formulas in Excel.

For this, we’ve the acronym PEMDAS – it’s widely taught in mathematics classes around the world, and that’s what Excel follows. The full form of PEMDAS is:

  • Parentheses
  • Exponents
  • Multiplication
  • Division
  • Addition
  • Subtraction

What distinguishes absolute cell references from relative cell references? And when should you use each of them?

Cell reference is touted as one of the most remarkable features of MS Excel. It lets users include values of external cells in formulas dynamically, instead of working on values manually. Talking of the differences, relative cell references change dynamically while they are copied and pasted in a sheet, whereas, absolute cell references remain fixed when they are copied and pasted to other places in a sheet. The latter can be used on anywhere, on columns, rows or both at the same time. It’s mostly denoted with the $ sign.

Hope these questionnaire set help you prepare for the upcoming MS Excel interview – for more intensive knowledge and Excel expertise, take up our Advanced Excel Course in Noida. Seasoned industry specialists, encompassing course curriculum and convenient prices are the USP of our training. For more information, drop by our homepage.

 

The blog has been sourced from www.deskbright.com/excel/excel-interview-questions

 

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#AskTheExperts: Best FAQs on Business Analytics

#AskTheExperts: Best FAQs on Business Analytics

Do you want to make a living as a successful business analyst? Does the prospect of analyzing data and drawing meaningful conclusions interest you? Are you thinking of taking the next big step into the career of analytics?

The demand for business analysts is soaring. It’s even touted as the highest paid job in the field of management. The job profile of a BA includes understanding a business organization critically, tapping into the ongoing business problems and filing a proper documentation of all business requirements and securing future success for the organization.

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Below, we’ve whittled down few important FAQs on Business Analytics:

To understand or delve deeper into business analysis, opt for an excellent business analytics course in Delhi. Training courses as this will help you grab the hottest job in town.

Define business analysis.

Business analysis is a series of functions, implemented to assess the business needs and requirements and craft the best solution to ring bells of success in an organization or enterprise. This sequence of actions is generally performed by a business analyst.

Mention the industry and professional standards that a BA has to adhere to.

The most popular industry standards that have been set up for Business Analysts are OOAD principles and Unified Modeling Language (UML). They are recognized across the globe, so drafting requirements from any part of the world won’t be difficult.

What are the components of UML?

UML is a concoction of diverse concepts from a lot many sources.

  • For Structure: Actor, Attribute, Class, Component, Interface, Object, Package
  • For Behavior: Activity, Event, Message, Method, Operation, State, use case
  • For Relationships: Aggregation, Association, Composition, Depends, Generalization (or Inheritance)
  • Other Concepts: Stereotype – It qualifies the symbol it is attached to

Highlight the quality procedures that a BA normally follows.

Loud and clear, there exists no specific bar for such things, but if you ask us, Six Sigma and ITIL (Information Technology Infrastructural Library UK) have specific quality standards, which are more than enough. However, here we’ve enumerated some common things to consider:

  • Ensure the quality of communication is excellent and seamless.
  • Explore and decipher requirements of system functionality and user demands.
  • Collect, manage and analyze data for better business outcomes and future success of organizations in question.

Explain the procedure of Requirement Analysis.

JAD session usually precedes a Requirement Session. Business analysts, top notch sponsors and hardcore technical folks attend these significant sessions. In the end of the discussions, Business Analysts rifles through each requirement and asks from a valuable feedback. Now, if the sponsors and technical folks conclude all the requirements are as per business requirement, they will give an official signoff on business requirement documents, along with IT managers and business managers.

How do you define UML?

UML is the abbreviated form of Unified Modeling Language – which is referred to as a generic language for mentioning, envisioning, building and documenting the objects of software systems, business models and other non-software structures. Together, it’s a compilation of superior engineering practices that screams of proven success and functionability of large and complex models.

DexLab Analytics offers top of the line business analyst training Delhi – the course itinerary is crafted according to industry demands and seasoned consultants impart in-demand skill training to the aspiring candidates. For more information, visit their official site now.

 

The blog has been sourced fromwww.wisdomjobs.com/e-university/business-analyst-interview-questions.html

 

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Most Popular R Programming Interview Questions with Answers to Help You Get Started

Most Popular R Programming Interview Questions with Answers to Help You Get Started

Brainchild of Ross Ihaka and Robert Gentleman, R programming language was first developed in 1993 with an exclusive and extensive catalog of statistical and graphical techniques and processes, including machine learning, time series, linear regression, statistical inference and lot more.

In the following section, we’re about to talk about top interview questions on R programming –perfect for both freshers and experienced consultants, this interesting interview guide covers almost all the major concepts of R and its applications.

Dive Down!

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What is R programming?

R programming is an ideal language used for data analysis, and to build incredible statistical software. It’s widely used for a wide range of machine learning applications.

How to write syntax for R commands?

When you start writing commands in R, start using # in the beginning of the line, so that the commands are written as #division.

How to project data analysis outcome through R language?

The best way to convey the results would be by combining the results of data, code and analysis on a document and present the data for further reproducible research. It would help the user recheck the result and take part in the following discussions. The reproducible research aids in performing experiments easily and solving crucial problems.

What are the data structures found in R programming?

Homogenous and Heterogeneous are two data structures found in R programming. For same kinds of objects, we suggest using homogenous data structures as for Array, Vectors and Matrix. And for different types of objects, it’s better to stick to heterogeneous data structures.

How should you import data in R language?

Importing of data in R is done with the help of R commander GUI – it’s used to type commands and is also known as Rcmdr.

Here are 3 ways to import data into R:

  • As soon as you select data set from the dialog box, enter the date set name as asked.
  • R command can also be used to enter data – Data-> New Data Set (It’s only applicable for small data sets).
  • The user can also import data directly from URL, through simple ASCII file, statistical package or from clipboards.

Highlight the advantages of R programming language.

  • The user doesn’t get entangled in license restrictions and norms for using R programming.
  • It’s an open source software and completely free of cost.
  • It has several graphical capabilities.
  • It is easily run on a majority of hardware and OS (including 32 and 64-bit processors).

Mention the limit for memory in R.

For a 32-bit system, the memory of R is limited to 3GB. And for a 64-bit system, the limit is extended to 8TB.

With this, hope you are ready to crack a tough job interview on R programming – however, for those, who want to dig deeper into the intricacies of this fascinating programming language, we have fabulous R programming courses in Gurgaon. With them discover the path towards a dream career!

 

The blog has been sourced from www.janbasktraining.com/blog/r-interview-questions-answers

 

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Best Data Science Interview Questions to Get Hired Right Away

Best Data Science Interview Questions to Get Hired Right Away

Data scientists are big data ninjas. They tackle colossal amounts of messy data, and utilize their imposing skills in statistics, mathematics and programming to collect, manage and analyze data. Next, they combine all their analytic abilities – including, industry expertise, encompassing knowledge and skepticism to unravel integral business solutions of meaningful challenges.

But how do you think they become such competent data wranglers? Years of experience or substantial pool of knowledge, or both? In this blog, we have penned down the most important interview data questions on data science – it will only aid you crack tough job interviews but also will test your knowledge about this promising field of study.

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What do you mean by data science?

Data is a fine blend of statistics, technical expertise and business acumen. Together they are used to analyze datasets and predict the future trend.

Which is more appropriate for text analytics – R or Python?

Python includes a very versatile library, known as Pandas, which helps analysts use advanced level of data analysis tools and data structures. R doesn’t have such a feature. Therefore, Python is the one that’s highly suitable for text analytics.

Explain a Recommender System.

Today, a recommender system is extensively deployed across multiple fields – be it music recommendations, movie preferences, search queries, social tags, research and analysis – the recommender system works on a person’s past to build a model to predict future buying or movie-viewing or reading pattern in the individual.

What are the advantages of R?

  • A wide assortment of tools available for data analysis
  • Perform robust calculations on matrix and array
  • A well-developed yet simple programming language is R
  • It supports an encompassing set of machine learning applications
  • It poses as a middleman between numerous tools, software and datasets
  • Helps in developing ace reproducible analysis
  • Offers a powerful package ecosystem for versatile needs
  • Ideal for solving complex data-oriented challenges

What are the two big components of Big Data Hadoop framework?

HDFS – It is the abbreviated form of Hadoop Distributed File System. It’s the distributed database that functions over Hadoop. It stores and retrieves vast amounts of data in no time.

YARN – Stands for Yet Another Resource Negotiator. It aims to allocate resources dynamically and manage workloads.

How do you define logistic regression?

Logistic regression is nothing but a statistical technique that analyzes a dataset and forecasts significant binary outcomes. The outcome has to be in either zero or one or a yes or no.

How machine learning is used in real-life?

Following are the real-life scenarios where machine learning is used extensively:

  • Robotics
  • Finance
  • Healthcare
  • Social media
  • Ecommerce
  • Search engine
  • Information sharing
  • Medicine

What do you mean by Power Analysis?

Power analysis is best defined as the process of determining sample size required for determining an impact of a given size from a cause coupled with a certain level of assurance. It helps you understand the sample size estimate and in the process aids you in making good statistical judgments.

To get an in-depth understanding on data science, enroll for our intensive Data Science Certification – the course curriculum is industry-standard, backed by guaranteed placement assistance.

The blog has been sourced fromintellipaat.com/interview-question/data-science-interview-questions

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Top Python Interview Questions You Should Start Preparing RN

Top Python Interview Questions You Should Start Preparing RN

Welcome! May be, you are new to programming altogether or seasoned in the field; either way, you have come to the right place, and have chosen the right language. Python is a very powerful, advanced kind of object-oriented programming language. It is simple and follows an easy to use syntax. Therefore, it has stood out to be the most popular programming language to learn and master, even by those who has set foot recently into the world of computer programming.

So, if you are planning to kickstart a career in Python, pore over these frequently asked questions; they are often asked in job interviews. If you have any doubts regarding Python, feel free to ask us, or comment below.

Or you can also take up our Python Course in Delhi NCR. It’s industry-related and student-friendly.

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What is Python?

Highly readable, interactive and interpreted, Python is an object-oriented scripting language. It focuses on English language, while its competitors use punctuations more.

What are the key features of Python?

  • Dynamically typed – In Python, you don’t have to state the variable kinds. You can easily run x=111  and then x="I'm a string" without error.
  • Interpreted language – This means Python doesn’t have to be compiled before running. PHP and Ruby are other interpreted languages.
  • Object oriented programming – Python is highly suitable for such kind of programming. It lacks access specifiers (like C++’s public, private>).

What role does PYTHONPATH environment variable plays?

PYTHONPATH works similar to a PATH. It helps Python interpreter in locating the module files imported into a program. It includes Python source library directory as well as the directories comprising the Python source code.

Name the supported data types in Python.

Python has 5 supported data types:

  • Numbers
  • List
  • String
  • Dictionary
  • Tuple

Do you know how to display contents of text file in a reverse order?

  • Change the given file into a list,
  • Then reverse the list by using reversed()
  • Eg: for line in reversed(list(open(“file-name”,”r”))):
  • Print(line)

Pick out the invalid statement from below.

  1. a) abc = 1,000,000
  2. b) a b c = 1000 2000 3000
  3. c) a,b,c = 1000, 2000, 3000
  4. d) a_b_c = 1,000,000

 Answer: b

How do you manage memory in Python?

  • Python private heap space manages its memory. All Python items and data structures are stored in a private heap. The programmer is not given access to this, but an interpreter manages this heap.
  • Pythom memory manager allocates Python heap space, while giving some access to the programmer for coding.
  • Python comprises of an inbuilt garbage collector – it recycles all the redundant memory, frees the extra memory and feeds it into the heap space.

What do you mean by Python dictionary?

Python dictionary is nothing but built-in datatypes. It entails a one-to-one relationship between keys and values. Dictionaries are indexed by keys; they contain pairs of keys and their corresponding values.

Hope this set of Python interview questions have prepared you well for upcoming job interviews. All the best!

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www.edureka.co/blog/interview-questions/python-interview-questions

intellipaat.com/interview-question/python-interview-questions

 

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