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Data Science

Master analytics, ML, and AI to drive data-driven decisions

6 Months

55,000 80,000

31% Off

Data Science

Data science

NameEmailPhone Number

1 / 10

1. What is the main goal of Data Science?

A) Creating website

B) Building mobile applications

C) Extracting knowledge and insights from data

D) Designing computer hardware

2 / 10

2. Which of the following is NOT a typical step in a data science project?

A) Data Collection

B) Data Cleaning

C) Data Hiding

D) Model Evaluation

3 / 10

3. Which programming language is most commonly used in Data Science?

A) Java

B) Python

C) HTML

D) C++

4 / 10

4. What is supervised learning?

A) Learning under the guidance of a mentor

B) Training a model on labeled data

C) Training a model without data

D) Learning through trial and error

5 / 10

5. Which of the following is an example of an unsupervised learning algorithm?

A) Linear Regression

B) Decision Tree

C) K-Means Clustering

D) Random Forest

6 / 10

6. What is the purpose of feature selection in Data Science?

A) To select the largest dataset

B) To reduce the number of input variable

C) To add more noise to the data

D) To encrypt data

7 / 10

7. What does a confusion matrix help you evaluate?

A) The hardware configuration of a computer

B) The accuracy of a classification model

C) The structure of a neural network

D) The quality of the dataset

8 / 10

8. In which situation would you use Natural Language Processing (NLP)?

A) Forecasting stock prices

B) Classifying handwritten digits

C) Analyzing customer reviews

D) Predicting house prices

9 / 10

9. Which library is commonly used for data manipulation in Python?

A) matplotlib

B) seaborn

C) pandas

D) sklearn

10 / 10

10. What is overfitting in machine learning?

A) When a model is too simple to capture patterns in the data

B) When a model performs well on new, unseen data

C) When a model learns the training data too well, including noise

D) When the model doesn’t learn anything

The average score is 20%

Exit

Full Stack Developer

Build complete web applications from frontend to backend

6 Months

55,000 80,000

31% Off

Full Stack Development

Full Stake Development

NameEmailPhone Number

1 / 10

1. What does a Full Stack Developer typically work on?

A) Only front-end of a website

B) Only back-end of an application

C) Both front-end and back-end of an application

D) Only databases

2 / 10

2. Which language is commonly used for front-end web development?

A) Python

B) JavaScript

C) SQL

D) PHP

3 / 10

3. Which of the following is a popular JavaScript front-end framework?

A) Django

B) Laravel

C) React

D) Flask

4 / 10

4. What is the purpose of Node.js in full stack development?

A) Designing databases

B) Styling web pages

C) Running JavaScript on the server-side

D) Creating mobile apps

5 / 10

5. Which database is NoSQL-based?

A) MySQL

B) Oracle

C) PostgreSQL

D) MongoDB

6 / 10

6. What does CRUD stand for in database operations?

A) Create, Read, Update, Delete

B) Copy, Replace, Update, Drop

C) Create, Remove, Use, Drop

D) Connect, Read, Update, Disconnect

7 / 10

7. Which HTTP method is used to update data on the server?

A) GET

B) POST

C) PUT

D) DELETE

8 / 10

8. What is the main function of Express.js?

A) Designing frontend pages

B) Connecting to MySQL databases

C) Handling server-side routing in Node.js

D) Creating animations

9 / 10

9. Which of the following is used for version control in software development?

A) Git

B) HTML

C) NPM

D) JSON

10 / 10

10. Which language is used to style the layout of web pages?

A) HTML

B) JavaScript

C) Python

D) CSS

The average score is 0%

Exit

Data Analatics

Master Java programming with Data Structures & Algorithms

5 Months

45,000 70,000

35% Off

Data Analatics

Data Analytics

NameEmailPhone Number

1 / 10

1. What is the primary purpose of data analytics?

A) To store large amounts of data

B) To delete outdated data

C) To extract meaningful insights from data

D) To create databases

2 / 10

2. Which of the following is NOT a type of data analytics?

A) Descriptive Analytics

B) Predictive Analytics

C) Prescriptive Analytics

D) Creative Analytics

3 / 10

3. What does ETL stand for in data processing?

A) Extract, Transfer, Load

B) Execute, Transform, Load

C) Extract, Transform, Load

D) Encode, Transform, Learn

4 / 10

4. Which of the following tools is most commonly used for data visualization?

A) MS Word

B) Tableau

C) Notepad

D) MySQL

5 / 10

5. What type of chart is best for showing the trend of data over time?

A) Pie Chart

B) Bar Chart

C) Line Chart

D) Scatter Plot

6 / 10

6. Which language is commonly used for statistical analysis and data manipulation?

A) HTML

B) Python

C) CSS

D) PHP

7 / 10

7. What is a ‘data warehouse’?

A) A physical storage unit for computers

B) A system used for daily transaction processing

C) A central repository of integrated data from multiple sources

D) A type of software used for data encryption

8 / 10

8. Which of the following is an example of structured data?

A) Social media posts

B) Email messages

C) Excel spreadsheet with customer records

D) Images

9 / 10

9. In data analytics, what does KPI stand for?

A) Key Performance Indicator

B) Knowledge Process Information

C) Key Processing Input

D) Knowledge Performance Index

10 / 10

10. What is the first step in the data analytics process?

A) Data cleaning

B) Data collection

C) Data visualization

D) Data modeling

The average score is 20%

Exit

Artificial Intelligence

Build intelligent systems and explore the future of AI

2 Months

15,000 30,000

50% Off

A.I

NameEmailPhone Number

1 / 10

1. What is the goal of prompt engineering?

A) To write HTML code for web pages

B) To improve the responses from AI by designing better input prompts

C) To train a machine learning model from scratch

D) To debug software applications

2 / 10

2. Which of the following is a good practice in prompt engineering?

A) Using vague and open-ended prompts

B) Avoiding punctuation in prompts

C) Being clear, specific, and context-rich

D) Using only keywords without sentences

3 / 10

3. What does “few-shot prompting” refer to?

A) Giving no examples to the model

B) Giving one example to the model

C) Giving multiple examples to guide the model’s response

D) Giving feedback after the model responds

4 / 10

4. Which model is most associated with prompt engineering in OpenAI’s ecosystem?

A) GPT-2

B) GPT-3.5

C) GPT-4

D) All of the above

5 / 10

5. What is “zero-shot prompting”?

A) A model that trains itself

B) A prompt with no examples provided

C) A prompt with only code

D) A prompt used for image generation only

6 / 10

6. Which prompt is better for asking a model to write a poem?

A) Write

B) Poem now

C) Can you write a romantic poem about the ocean in the style of Shakespeare?

D) Poem ocean

7 / 10

7. What does “temperature” control in a language model’s output?

A) The size of the text

B) The randomness/creativity of the output

C) The length of the prompt

D) The spelling quality

8 / 10

8. What is chain-of-thought prompting?

A) Asking the model to summarize text

B) Prompting the model to show step-by-step reasoning

C) Forcing the model to use memory

D) Prompting the model with a poem

9 / 10

9. What is a common use of prompt engineering in business?

A) Installing firewalls

B) Data backup solutions

C) Automating document generation and analysis

D) Creating hardware designs

10 / 10

10. Which of the following can enhance the quality of prompts?

A) Adding emojis randomly

B) Repeating the same word multiple times

C) Including the role, task, and goal clearly

D) Using incomplete sentences

The average score is 0%

Exit

Data Analytics with AI

Unlock the power of data analytics, machine learning, and artificial intelligence

6-7 Months

65,000 90,000

27% Off

Enroll Now

Advance Python

Interpreted programming language known for its clear syntax and readability

1.5 Months

12,000 25,000

52% Off

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Independence Day Special Offer

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🎯 Limited Time: Independence Day Special
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Data Science

6 Months

Full Stack Developer

6 Months

Data Analatics

5 Months

Artificial Intelligence

2 Months

Data Analytics with AI

6-7 Months

Advance Python

1.5 Months

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Independence Day Special Offer

Unlock Your

Freedom to Learn

Take our online MCQ exam and score 80% + to unlock massive savings on Data Science, Data Analytics,Full Stack development and AI.

Your Gateway to Freedom Through Learning

Score Get Upto 50% Discount

6 Premium Courses

Quick MCQ Format

Our Proud Achievers

Choose Your Path to Freedom

🎯 Limited Time: Independence Day Special Till 31 August 2025

Data Science

6 Months

Full Stack Developer

6 Months

Data Analatics

5 Months

Artificial Intelligence

2 Months

Data Analytics with AI

6-7 Months

Advance Python

1.5 Months

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Upto 50% Discount

🎯 Limited Time: Independence Day Special
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