Total Pageviews

Thursday 25 April 2024

LUMEL | 2023 and 2024|Full TIme



We at Lumel Technologies are looking for somebody with your enthusiasm and skills to work in our Product Development Team.

 

As a Product Developer with us , you'll:-

  • Build products using UI frameworks
  • Core skillset would be React.js / Node.Js / Go /C#
  • Develop hosted & cloud-based BI products using cutting-edge languages (Node, Python, Java)
  • Reengineer existing hosted products for cloud (AWS)
  • Other frameworks like Angular/Vue, visualization libraries, etc will be good to know

 

Requirements:-

  • B.E. IT/CS
  • Strong Academic Background
  • Experience/Sound Knowledge in Databases is a must
  • 0 - 2 years of development exp
  • Willing to WFO , Chennai

 

Benefits:-

  • Excellent pay package
  • One of the best and comprehensive medical cover for self and eligible dependents
  • Family benefits including maternity and paternity leave
  • Access to internal learning systems 24x7
  • Elaborate competency development training programs
  • Build competency in cutting-edge programming languages, tools and frameworks
  • Be part of a top notch R&D / product development organization

 


To Apply Click Here 




Home                                                                                                                        Previous





Internships: 



Placements:




Material
Deep Learning





Deep learning  CNN    




Saturday 30 March 2024

TCS | NQT |2024



Registrations open. 

To know more and to apply: 



REGISTRATION END DATE:
Wednesday, April 10th 2024
 
TEST DATE: 
Friday, April 26th 2024 Onwards





Dear Students ,

As I have communicated earlier about TCS Ninja selection , every year TCS recruits the freshers through TCS Ninja (NQT). The registrations will starts tentatively July-August every year.

It is good opportunity for all UG/PG ( Any Stream , not only CSE all UG streams are eligible to apply and attend the drive) 

Salary Package : 3.6 LPA , for digital profile 6-7 LPA.

Process to apply :

  • Open TCS Next Portal.(https://nextstep.tcs.com)
  • Apply in next portal to TCS Ninja Hiring process and fill in all details
  • After completion of the form click on Apply for drive option(Left side window).
  • Eligibility Criteria:

    • B.E. / M.E. / B.Tech / M.Tech / MCA / M.Sc with 60% or 6 CGPA in all over education 10th,12th, UG or PG.
    • Not more than 1 Arrear while sitting in the selection process. And at the time of joining there should be no pending backlogs.
    • Not no more than 2 years of education gap.
    • Full-time education will be preferred (Distance education is not allowed).

    Online Test Pattern( 2022)

    SectionTimeNumber of Questions
    Numerical Ability4026
    Reasoning5030
    Verbal Ability3024
    Programming6015 MCQ + 2 Programs

    Round 2:

    • Technical Round
    • Managerial Round
    • HR Round
    ** I'll post syllabus and important topics to prepare for the Round-1 soon in this blog.



    Tentative Syllabus for the TCS NQT(Ninja & Digital)


    TCS NQT Reasoning Ability Syllabus

    Data Arrangements

    Data Sufficiency

    Syllogisms

    Blood Relations

    Attention to Detail

    Venn Diagrams

    Percentages

    Statement and Course of Action

    Statement and Assumptions

    TCS NQT Verbal Ability Syllabus

    Sentence completion

    Reading Comprehension

    Error spotting

    Parajumbles

    Formal/ Informal language

    Sentence building

    Vocabulary

    TCS NQT Programming Logic Syllabus

    Operators

    Looping statements

    Control statements

    Arrays

    Strings

    Functions

    Object-Oriented Programming (OOPS)

    Data Structures: Linked List, Stack, Queue, Trees and Graphs

    Pseudocoding

    Algorithms

    Basic Software Development Cycle

    TCS NQT Programming Logic Syllabus

    Data types

    Operators

    Arrays

    Strings

    Decision Making

    Looping

    Functions

    Scenario-based questions





    .






     

    Saturday 16 March 2024

    Data Visualization MCQ with Answers

     1. What is true about Data Visualization?

    A. Data Visualization is used to communicate information clearly and efficiently to users by the usage of information graphics such as tables and charts.
    B. Data Visualization helps users in analyzing a large amount of data in a simpler way.
    C. Data Visualization makes complex data more accessible, understandable, and usable.
    D. All of the above


    2. Which are pros o f data visualization?

    A. It can be accessed quickly by a wider audience.
    B. It can misrepresent information
    C. It can be distracting
    D. None Of the above


    Ans : A

    Explanation: Pros of data visualization : it can be accessed quickly by a wider audience.


    3. Data can be visualized using?

    A. graphs
    B. charts
    C. maps
    D. All of the above


    Ans : D

    Explanation: Data visualization is a graphical representation of quantitative information and data by using visual elements like graphs, charts, and maps.


    4. Which are cons of data visualization?

    A. It conveys a lot of information in a small space.
    B. It makes your report more visually appealing.
    C. visual data is distorted or excessively used.
    D. None Of the above


    5. Data visualization is also an element of the broader _____________.

    A. deliver presentation architecture
    B. data presentation architecture
    C. dataset presentation architecture
    D. data process architecture

    6. Which of the intricate techniques is not used for data visualization?

    A. Bullet Graphs
    B. Bubble Clouds
    C. Fever Maps
    D. Heat Maps

    Ans : C

    Explanation: Fever Maps is not is not used for data visualization instead of that Fever charts is used.


    7. Which method shows hierarchical data in a nested format?

    A. Treemaps
    B. Scatter plots
    C. Population pyramids
    D. Area charts


    Ans : A

    Explanation: Tree maps are best used when multiple categories are present, and the goal is to compare different parts of a whole.


    8. Which one of the following is most basic and commonly used techniques?

    A. Line charts
    B. Scatter plots
    C. Population pyramids
    D. Area charts


    Ans : A

    Explanation: Line charts. This is one of the most basic and common techniques used. Line charts display how variables can change over time.


    9.Which of the following is not benefit of data storytelling? industry and topic thought leader.

    A) Providing a human touch to your data

    B) Offering value to your audience and industry.

    C) Building credibility as an

    D) To represent complex data values

    10. In Storytelling, how will you communicate to your audience?

    A) With live presentation

     B) With a written document or email

    C)  Both A and B

    D) With telephone call

    11.In data storytelling, internal and external stakeholders are ………..

    A) Targeted audience

     B) General audience

     C) Specific audience

    D) Data specific audience

    12. What is the primary purpose of storytelling in data visualization?

    A)    To make the data more complicated and confusing

    B)    To provide context and a narrative of data

    C)    To hide the data from the audience

    D)    To reduce the presented data

    13. …………is a methodology for communicating information, tailored to a specific audience, with a compelling narrative

    A. Data science

    B)    Artificial intelligence

    C)    Data storytelling

    D)    Data Visualization


    14. Chart borders and background shading are unnecessary because of which Gestalt principle?

    A)    Enclosure

    B)    Closure

    C)    connectivity

    D)    Continuity

    15. Things that are colored the same are seen as together according to what Gestalt Principle?

    A)    Closure

    B)    Proximity

    C)    Similarity

    D)    Saturation

    16. What type of title should you use for a proper data story?

    A)    An Action title

    B)    A Predictive title

    C)    An Arbitrary title

    D)    Don't use title

    17. When should we use a table instead of a chart?

    A)    When the data is very complex

    B)    When there are no real patterns in the data

    C)    When we are looking up specific values in the data set

    D)    When the data is very simple

    18. What is the benefit of using color in data visualization?

     A) To make the visualizations more monotonous

    B) To highlight important data points and patterns

    C) To decrease the visibility of  visual

    D) To hide data points

    19. The key element of data storytelling

    A) Narrative

    B) Visuals

    C) Data

    D) All



    20. What is the primary goal of data visualization?

    A) To collect more data

    B) To make data more accessible and understandable

    C) To hide data from the audience

    D) To represent data accurately

    21. What is data visualization?

    A) It is the graphical representation of information and data

    B) It is the numerical representation of information and data

    C) It is the character representation of information and data

    D) None

    22. What are the benefits of data visualization?

    A) Better analysis

    B) Identifying patterns

    C) Exploring business insights

    D) All

    23. Deleting the grid lines in the table and the horizontal lines in the chart causes_________

     A) increases the data-ink ratio

    B) decreases the data-ink ratio

    C) increases the Non-data-ink ratio

    D) does not affect the data-ink ratio

    24. The charts that are helpful in making comparisons between ...............

    A) Bar charts

    B) column charts

    C) Pie charts

    D) Both Bar & Column Charts

    25. Chart borders and background shading are unnecessary because of which Gestalt principle?

    A)    Enclosure

    B)    Closure

    C)    connectivity

    D)    Continuity