#Data Scientist course in delhi

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Top Skills You Will Learn in an Artificial Intelligence Course in Delhi

Artificial Intelligence (AI) is shaping the future of work across industries—from healthcare and finance to e-commerce and education. With Delhi quickly rising as a major tech education hub, many aspiring professionals are enrolling in specialized programs to stay ahead of the curve. If you're considering joining an Artificial Intelligence course in Delhi, it’s important to understand what exactly you’ll learn and how it will empower your career.

In this blog, we’ll explore the top skills you will acquire in an AI course, how they translate to real-world applications, and why Delhi is a smart choice for beginning or advancing your journey in Artificial Intelligence.

Why Pursue an Artificial Intelligence Course in Delhi?

Delhi, being the capital city of India, offers a powerful blend of education, innovation, and career opportunities. With a growing number of tech startups, multinational companies, and AI-focused R&D centers, it’s a thriving ecosystem for AI learners.

Key Benefits of Studying AI in Delhi:

Access to reputed institutions and expert faculty

Availability of both full-time and part-time programs

Proximity to job opportunities in NCR (Noida, Gurgaon)

Exposure to real-world AI applications and industry projects

Whether you’re a fresh graduate, a software developer, or a working professional looking to upskill, an Artificial Intelligence course in Delhi can be your gateway to a future-proof career.

1. Programming Fundamentals – Python & R

AI development requires a strong command over programming. In most Delhi-based courses, Python is the primary language taught due to its simplicity and rich set of libraries.

What You’ll Learn:

Python basics: syntax, functions, loops, and data structures

Libraries: NumPy, Pandas for data manipulation

R programming (in some advanced courses)

Scripting and automation techniques

Programming is the foundation for building AI models and handling data pipelines.

2. Mathematics & Statistics for AI

AI is deeply rooted in mathematics. Understanding the theory behind algorithms will help you build better, optimized models.

Key Concepts Covered:

Linear algebra: vectors, matrices, eigenvalues

Probability and statistics: distributions, Bayes theorem

Calculus: derivatives and gradients

Optimization techniques used in training AI models

This skill set is essential for algorithm development and performance tuning.

3. Machine Learning Algorithms

Machine Learning (ML) is at the heart of AI. Most Artificial Intelligence courses in Delhi offer comprehensive modules on supervised, unsupervised, and reinforcement learning.

Algorithms You’ll Master:

Linear and Logistic Regression

Decision Trees and Random Forest

Support Vector Machines (SVM)

K-Means Clustering

Naive Bayes

Ensemble Methods (Boosting and Bagging)

Principal Component Analysis (PCA)

You’ll not only learn the theory but also implement these algorithms using real-world datasets.

4. Deep Learning & Neural Networks

Deep learning enables powerful applications like image recognition, autonomous vehicles, and natural language processing. It’s a must-have skill for advanced AI roles.

Topics Covered:

Artificial Neural Networks (ANNs)

Convolutional Neural Networks (CNNs) – for image data

Recurrent Neural Networks (RNNs) – for sequence data

Long Short-Term Memory (LSTM)

Activation functions and backpropagation

Deep learning frameworks like TensorFlow, Keras, PyTorch

Most AI courses in Delhi include hands-on labs to help you build and train deep neural networks.

5. Natural Language Processing (NLP)

NLP helps machines understand, interpret, and generate human language. It powers chatbots, search engines, and voice assistants.

What You’ll Learn:

Text preprocessing and tokenization

Word embeddings (Word2Vec, GloVe)

Sentiment analysis

Named Entity Recognition (NER)

Language models like BERT and GPT

Building conversational agents and chatbots

With Delhi’s growing tech industry, NLP experts are in high demand for customer service and automation solutions.

6. Computer Vision

Another in-demand AI specialization, Computer Vision teaches machines to interpret and analyze visual information.

Key Skills:

Image preprocessing and augmentation

Object detection (YOLO, SSD)

Face recognition algorithms

Optical Character Recognition (OCR)

CNN implementation using Keras and OpenCV

Computer vision is widely used in surveillance, manufacturing, medical diagnostics, and autonomous systems.

7. Data Handling and Visualization

AI models are only as good as the data they’re trained on. That’s why courses in Delhi emphasize data cleaning, exploration, and visualization.

Tools You’ll Use:

Pandas for data manipulation

Matplotlib and Seaborn for data visualization

Tableau or Power BI (optional modules)

Handling missing values and outliers

Feature engineering and transformation

These skills help you prepare datasets that produce accurate and meaningful AI outcomes.

8. Model Evaluation and Optimization

Creating a model isn’t enough—you need to evaluate its performance and fine-tune it for production.

Evaluation Techniques:

Confusion matrix, ROC-AUC, F1 Score

Cross-validation

Hyperparameter tuning (Grid Search, Random Search)

Bias-variance tradeoff

Avoiding overfitting and underfitting

Understanding these techniques ensures that your AI models are reliable and production-ready.

Real-World Projects to Strengthen Your Resume

Most AI courses in Delhi require you to complete live projects that simulate real-world business problems.

Sample Projects:

Predicting stock prices using time series data

Classifying medical images using CNNs

Building a movie recommendation engine

Sentiment analysis on Twitter data

Developing a voice assistant using NLP

A strong project portfolio showcases your practical expertise and makes your profile stand out to employers.

Final Thoughts

Pursuing an Artificial Intelligence course in Delhi is not just about learning theory—it’s about gaining job-ready skills that are relevant, practical, and aligned with industry expectations. From Python programming and deep learning to cloud deployment and real-world projects, these courses equip you with everything you need to thrive in the fast-growing AI job market.

Whether you're a beginner aiming to break into tech or a professional ready to upskill, Delhi offers the right environment, expert faculty, and career support to help you succeed. So, if you're serious about shaping your future with Artificial Intelligence, now is the time to enroll and start learning.

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Choosing the Right Path: Data Science Course in Gurgaon vs. Data Scientist Course in Delhi

With the rise of AI, machine learning, and big data, data science has become one of the most in-demand career paths across the globe. As businesses shift toward data-driven decision-making, the need for qualified data professionals is growing rapidly. If you’re based in the NCR region, you’re probably considering whether to enroll in a data science course in Gurgaon or go for a data scientist course in Delhi. While both locations offer promising opportunities, your decision should depend on several important factors.

Why Consider a Data Science Course in Gurgaon? Gurgaon, now officially known as Gurugram, is home to hundreds of MNCs, tech startups, and IT companies. A data science course in Gurgaon often comes with the added advantage of strong industry tie-ups, corporate mentorship, and proximity to real-world work environments. Institutes here frequently offer programs designed in collaboration with tech companies, helping students not just learn concepts but apply them through projects and internships. If you're someone who prefers practical exposure and wants to build a strong network in the corporate tech sector, Gurgaon could be an excellent choice.

What Makes a Data Scientist Course in Delhi Stand Out? On the other hand, Delhi, as the capital of India, is a hub of educational institutions, research centers, and government-funded tech programs. A data scientist course in Delhi may have a more academic or research-driven approach, suitable for those who are interested in deeper theoretical knowledge or preparing for higher studies. Delhi also has a broader range of institutions offering flexible learning options—online, offline, and hybrid—making it easier for working professionals to upskill without quitting their jobs.

What Should You Look for in Either Course? Whether you choose Gurgaon or Delhi, there are key features to focus on:

Curriculum: Make sure the course covers Python, R, SQL, statistics, machine learning, deep learning, data visualization tools like Power BI or Tableau, and cloud computing.

Projects & Internships: Look for real-life capstone projects, case studies, and guaranteed internship opportunities.

Mentorship & Career Support: The best programs offer live mentorship, interview preparation, resume building, and job placement assistance.

Certifications & Recognition: Ensure the course is recognized by industry leaders or partnered with well-known organizations or platforms like IBM, Microsoft, or AWS.

The Final Verdict Choosing between a data science course in Gurgaon and a data scientist course in Delhi isn’t just about location—it’s about what suits your career goals. If you want industry exposure and faster corporate access, Gurgaon may be your best bet. If you’re looking for academic depth, flexible learning modes, or access to government and research opportunities, Delhi could be ideal.

Whichever path you choose, remember: data science is not just a trend—it’s a long-term career investment. So choose a program that equips you with the right skills, tools, and support to grow in this ever-evolving field.

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Data Scientist Course in Delhi

Enhance your career with a Data Scientist course in Delhi from Brillica Services, offering top-notch training and certification."

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Croma Campus offers a comprehensive Data Scientist Course in Delhi led by industry experts, providing in-depth training in data analytics, machine learning, and data visualization for aspiring professionals.

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Mapping Data Science Institutes in Delhi

Hey, data explorers! Get ready to groove through the data beats of Delhi – it's a wild ride in the realm of data science education. Buckle up as we surf the waves, uncovering the secrets of the trade, and throwing a spotlight on the one and only Jeetech Academy. Data science is the interdisciplinary field that employs scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It merges various domains, including statistics, computer science, and domain-specific expertise, to interpret complex phenomena. Utilizing programming languages such as Python and R, data scientists analyze, model, and visualize data, transforming it into actionable information. From predicting trends to optimizing decision-making, data science is the key to unlocking the potential within vast datasets, shaping industries, and facilitating innovation in the ever-evolving digital landscape.

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What is Direct Lake Mode in Power BI? Pros and Cons

In the evolving landscape of data analytics, Microsoft Power BI continues to introduce innovative features to enhance performance and flexibility. One such advancement is Direct Lake Mode, a storage mode that bridges the gap between import mode and DirectQuery. Power BI can get data directly from a lakehouse or data lake without needing to import it or use the usual DirectQuery method.

This article explores what Direct Lake Mode is, its key benefits, limitations, and when to use it, helping you decide if it’s the right approach for your Power BI implementation.

What is Direct Lake Mode in Power BI?

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Essential Data Science Tools to Master in 2025

Data science tools are the foundation of analytics, machine learning, and artificial intelligence of today. In 2025, data professionals and wannabe data scientists need to be aware of the best data science tools to excel in this competitive area. There are so many tools arising every year that it gets confusing to select the best ones. The following blog deconstructs the best data science course that every data enthusiast should enroll.

Why Learning Data Science Tools is Important

In today's data-rich environment, organisations lean on the insights gathered from large amounts of data when making decisions. In order to analyze, extract, process and visualize their data properly, you must have knowledge and experience with many tools for machine learning and analytics. Knowing the appropriate data analytics tools not only allows you to perform tasks more effectively; but also access to greater, higher-paying opportunities in tech.

Top Programming Languages in Data Science

Programming languages form the base of all data science operations. The most common debate? Python vs R in data science. Here's a simple comparison to help:

Python vs R in Data Science – What's Better?

Python and R both serve different purposes, but here’s a short overview:

Python

Easy to learn and versatile

Supports machine learning libraries like Scikit-learn, TensorFlow

Widely used for production-ready systems

R

Great for statistical analysis

Preferred for academic or research work

Has powerful packages like ggplot2 and caret

Most professionals prefer Python because of its vast ecosystem and community support, but R remains essential for deep statistical tasks.

Top Data Analytics Tools You Should Know

Analytics tools help you take unrefined data and convert it into actionable insights. They have an important role in business intelligence and proactively recognising trends. 

Before we jump into the list, here's why we care about them in business: they expedite data processing, improve reporting, and surface collaboration on projects with teams.

Popular Data Analytics Tools in 2025:

Tableau – Easy drag-and-drop dashboard creation

Power BI – Microsoft-backed tool with Excel integration

Excel – Still relevant with new data plug-ins and features

Looker – Google’s cloud analytics platform

Qlik Sense – AI-powered analytics platform

These tools offer powerful visualizations, real-time analytics, and support big data environments.

Best Tools for Data Science Projects

When handling end-to-end projects, you need tools that support data collection, cleaning, modelling, and deployment. Here are some essentials:

Understanding which tool to use at each stage can make your workflow smooth and productive.

Best Tools for Data Science Workflows:

Jupyter Notebook – Ideal for writing and testing code

Apache Spark – Handles massive datasets with ease

RapidMiner – Drag-and-drop platform for model building

Google Colab – Free cloud-based coding environment

VS Code – Lightweight IDE for data science scripting

These platforms support scripting, debugging, and model deployment—everything you need to execute a full data science pipeline.

Must-Know Tools for Machine Learning

Machine learning involves building algorithms that learn from data. So, you need tools that support experimentation, scalability, and automation.

The following tools for machine learning are essential in 2025 because they help create accurate models, automate feature engineering, and scale across large datasets.

Most Used Machine Learning Tools:

TensorFlow – Deep learning framework by Google

Scikit-learn – For traditional machine learning tasks

PyTorch – Popular among researchers and developers

Keras – Simplified interface for deep learning

H2O.ai – Open-source platform with AutoML features

These tools support neural networks, decision trees, clustering, and more.

Top AI Tools 2025 for Data Scientists

AI technologies are rapidly advancing and keeping up to date with the best AI tools of 2025 is essential to not fall behind. 

AI tools are advancing by 2025 to help automate workflows, creating synthetic data, and building smarter models of all kinds. Let's take a look at the most talked about tools.

Emerging AI Tools in 2025:

ChatGPT Plugins – AI-powered data interaction

DataRobot – End-to-end automated machine learning

Runway ML – Creative AI for media projects

Synthesia – AI video creation from text

Google AutoML – Automates AI model creation

These tools are reshaping how we build, test, and deploy AI models.

Choosing the Right Tools for You

Every data science project is different. Your choice of tools depends on the task, data size, budget, and skill level. So how do you choose?

Here’s a simple guide to picking the best tools for data science based on your use case:

Tool Selection Tips:

For beginners: Start with Excel, Tableau, and Python

For researchers: Use R, Jupyter, and Scikit-learn

For AI/ML engineers: Leverage TensorFlow, PyTorch, and Spark

For business analysts: Try Power BI, Looker, and Qlik

Choosing the right tools helps you finish projects faster and more accurately.

Conclusion

In today's data-driven society -knowing the right data science tools to use is vital. Whether you're evaluating trends, designing AI models, synthesizing reports - the right tools will enable you to work more efficiently. From different data analytics tools to the best AI tools 2025, this list has everything needed to get started. Discover, experiment, and grow with these incredible platforms and watch your career in data science blossom.

FAQs

1. What are some of the more commonly used tools for data science in 2025? 

Popular tools are Python, Tableau, TensorFlow, Power BI, and Jupyter Notebooks. These tools are used for analytics, modelling, and deployment.

2. Is Python or R better for data science? 

Python is preferable because of its flexibility and libraries; R is used primarily for statistics and research applications.

3. Can I use Excel for data science? 

Yes. Excel is still used commonly for elementary analysis, reporting, and as a stepping stone to a more advanced tool like Power BI.

4. What are the best tools for machine learning beginners?

Start with Scikit-learn, Keras, and Google Colab. They offer easy interfaces and great learning resources.

5. Are AI tools replacing data scientists?

No – AI tools assist with automation, but human insight & problem-solving are still crucial in the data science process.

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Top Career Opportunities After Completing an Artificial Intelligence Course in Delhi

Artificial Intelligence (AI) is no longer a futuristic concept—it's a present-day revolution. From chatbots and recommendation engines to autonomous vehicles and predictive analytics, AI is shaping the future across every industry. As one of India’s leading education and tech hubs, Delhi offers excellent opportunities for individuals looking to break into this exciting field.

Enrolling in an Artificial Intelligence Course in Delhi can unlock diverse and high-paying career paths, whether you're a fresh graduate, an IT professional looking to upskill, or someone planning a complete career switch.

In this blog, we explore the top career opportunities after completing an AI course in Delhi, key industries hiring AI talent, salary trends, and how classroom learning can give you an edge.

Why Choose an Artificial Intelligence Course in Delhi?

🌐 Delhi NCR: A Thriving Tech & Innovation Hub

Delhi NCR (including Noida and Gurugram) is home to numerous IT parks, R&D centers, AI startups, and global tech companies. The region’s diverse economy ensures demand for AI professionals across industries—IT, finance, healthcare, retail, and more.

🎓 Access to Quality AI Education

Institutes like the Boston Institute of Analytics offer globally recognized, industry-aligned Artificial Intelligence Courses in Delhi, which combine theoretical knowledge with real-world applications.

🤝 Networking & Placement Support

Delhi offers unparalleled networking opportunities through tech meetups, startup incubators, and campus placement drives—making it easier for learners to land their first or next AI role.

What You Learn in an AI Course?

Before diving into careers, here’s a brief look at the skills you gain in an Artificial Intelligence Course in Delhi:

Python Programming & Data Structures

Supervised and Unsupervised Machine Learning

Deep Learning (TensorFlow, Keras, PyTorch)

Natural Language Processing (NLP)

Computer Vision

Model Deployment & MLOps

Big Data Tools (Hadoop, Spark)

AI Ethics & Governance

These core competencies equip you to solve complex real-world problems and build intelligent systems that learn and improve over time.

Top Career Opportunities After Completing an Artificial Intelligence Course in Delhi

1. Machine Learning Engineer

What They Do: ML engineers develop algorithms that help machines learn without being explicitly programmed. They design, build, and maintain scalable ML models used in recommendations, fraud detection, personalization engines, and more.

Average Salary in Delhi: ₹8 – ₹22 LPA Top Employers: Google India, Amazon, Zomato, Tech Mahindra, Wipro AI Labs

2. Data Scientist

What They Do: Data scientists gather, process, and analyze large volumes of data to uncover patterns and insights. With AI expertise, they build predictive models that help organizations make informed decisions.

Average Salary in Delhi: ₹10 – ₹25 LPA Hiring Sectors: FinTech, Healthcare, Retail, Consulting

3. AI Research Scientist

What They Do: AI researchers work at the cutting edge of innovation, designing new algorithms, experimenting with neural networks, and publishing research. A strong academic bent and deep understanding of mathematics and statistics are essential.

Top Employers in Delhi NCR: IBM Research Lab, DRDO AI Unit, Adobe Research, Microsoft Research India Salary Range: ₹15 – ₹30+ LPA

4. Natural Language Processing (NLP) Engineer

What They Do: NLP engineers create AI solutions that understand human language. They work on language translation, sentiment analysis, voice assistants, and chatbot development.

Popular Companies Hiring in Delhi: Haptik, Sprinklr, Vernacular.ai Average Salary: ₹9 – ₹18 LPA

5. Computer Vision Engineer

What They Do: These engineers develop AI systems that interpret and process visual information from the world. Applications include facial recognition, surveillance systems, AR/VR, and autonomous vehicles.

Salary Range in Delhi: ₹8 – ₹20 LPA Industries Hiring: Security, Automotive, Healthcare Imaging

6. Business Intelligence Developer with AI Focus

What They Do: BI developers use AI to enhance dashboards, automate data interpretation, and forecast future trends for businesses. They often work with sales, marketing, and operations teams.

Top Companies in Delhi NCR: HCL Tech, TCS, Cognizant, Infosys Salary: ₹7 – ₹15 LPA

7. AI Consultant

What They Do: AI consultants evaluate client needs, propose AI-based solutions, and often manage the implementation of AI systems across departments. These roles require both technical and strategic thinking.

Ideal For: Mid-career professionals transitioning into AI Average Salary: ₹12 – ₹25 LPA

8. AI Product Manager

What They Do: AI product managers lead the development of AI-enabled products. They work closely with engineers, data scientists, and stakeholders to align technology with business needs.

Salary Range: ₹18 – ₹35+ LPA Popular Roles In: EdTech (Byju’s, Vedantu), FinTech (Paytm, Policybazaar), SaaS startups

Why Choose Boston Institute of Analytics for Your AI Journey?

If you’re looking for a trusted institute offering a comprehensive Artificial Intelligence Course in Delhi, the Boston Institute of Analytics (BIA) is an excellent choice.

🎯 What Makes BIA Stand Out:

Globally recognized AI certification

Practical training from industry professionals

Dedicated placement cell with 90%+ success rate

Project-based learning using real datasets

Flexible batch options for working professionals

Graduates of BIA have gone on to work at top-tier companies across India and abroad, making it one of the most reputable options for AI education in Delhi.

Final Thoughts

With Delhi rapidly becoming a hub for AI innovation, there has never been a better time to upskill. By enrolling in a high-quality Artificial Intelligence Course in Delhi, you position yourself for a tech-forward career with immense growth potential.

Whether you dream of working in research, development, strategy, or entrepreneurship, AI opens the door. The right course equips you with job-ready skills and industry exposure to make it happen.

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Choosing the Right Data Science Course: Gurgaon vs. Delhi

Are you looking for the best data science course in Gurgaon or wondering which data scientist course in Delhi is the right fit for your career? If yes, then you're not alone. With data science becoming one of the most in-demand career fields in India, thousands of students and working professionals are exploring training programs that can help them build real-world skills and land high-paying jobs.

Let’s break down what you should look for in a course, and how to decide between Gurgaon and Delhi based on your learning goals.

Why Data Science?

Before diving into city-wise comparisons, it’s important to understand why data science is such a hot career path. From tech startups to Fortune 500 companies, every organization is using data to make smarter decisions. This demand has created a massive need for skilled data scientists who can work with tools like Python, SQL, Excel, Power BI, and machine learning algorithms.

The good news? You don’t need to be a computer science graduate to become a data scientist. With the right course, proper mentorship, and practical training, anyone can enter this exciting domain.

Data Science Course in Gurgaon – What Makes It Special?

Gurgaon has quickly become a major hub for IT, analytics, and startup culture. Opting for a data science course in Gurgaon can offer several benefits:

Corporate Exposure: Since Gurgaon hosts many MNCs and IT companies, you may find courses that offer live projects, corporate case studies, and even internship opportunities.

Tech-Centric Learning: Many institutes in Gurgaon focus heavily on hands-on tools like Python, R, Tableau, and SQL.

Job Opportunities: Being close to the corporate ecosystem can boost your chances of networking and job placement.

Courses here often include real-world projects, resume building sessions, and mock interviews to ensure you're job-ready from day one.

Data Scientist Course in Delhi – Why It Stands Out

Delhi, being the capital city, has access to a wide range of educational institutions, training centers, and networking opportunities. A data scientist course in Delhi often focuses on:

Foundational & Advanced Training: From basic statistics to advanced machine learning, courses here offer depth for both beginners and intermediate learners.

Experienced Faculty: With access to top industry professionals and educators, learners in Delhi often benefit from mentorship and expert guidance.

Competitive Environment: Being in a large city helps you stay motivated and challenged by your peers.

Moreover, Delhi offers hybrid learning models – classroom + online – ideal for working professionals who want to upskill without leaving their jobs.

Gurgaon vs. Delhi – Which Is Better?

There’s no one-size-fits-all answer. Your choice depends on your personal preferences and goals.

Criteria

Gurgaon

Delhi

Focus

Corporate-oriented, hands-on

Deep theoretical + practical blend

Opportunities

Closer to tech/startup firms

Broader academic exposure

Ideal For

Professionals seeking fast-track jobs

Students & beginners needing strong base

Environment

Fast-paced, modern

Diverse, competitive

Final Thoughts

Whether you choose a data science course in Gurgaon or a data scientist course in Delhi, what truly matters is the quality of the curriculum, the experience of trainers, and the practical exposure you get. Look for programs that offer live projects, career guidance, and placement support.

Before enrolling, ask for demo classes, check reviews, and compare course modules. Your decision today can shape your future in one of the most dynamic and rewarding fields of this decade.

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A data scientist is a professional who gathers, analyzes, and interprets large sets of data to inform decision-making and solve complex problems. They utilize a combination of statistical analysis, machine learning, programming, and domain knowledge to extract insights and create data-driven solutions.

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Mapping Data Science Institutes in Delhi

Hey, data explorers! Get ready to groove through the data beats of Delhi – it's a wild ride in the realm of data science education. Buckle up as we surf the waves, uncovering the secrets of the trade, and throwing a spotlight on the one and only Jeetech Academy. Data science is the interdisciplinary field that employs scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It merges various domains, including statistics, computer science, and domain-specific expertise, to interpret complex phenomena. Utilizing programming languages such as Python and R, data scientists analyze, model, and visualize data, transforming it into actionable information. From predicting trends to optimizing decision-making, data science is the key to unlocking the potential within vast datasets, shaping industries, and facilitating innovation in the ever-evolving digital landscape.

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The top 8 Data Science Jobs in Delhi that you should know

We will explore some of the top data science jobs in Delhi that are currently making waves in the industry. Learn the best data science course in Pitampura, Delhi, that brings you lots of career opportunities and helps you secure your future.  Also, check out Jeetech Academy to learn about the best data science institute in Delhi that helps you get hired. 

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Part 2 - SQL MCQ - Q&A | Most asked Interview Questions

1. Which SQL keyword is used to retrieve data from a database?

2. Which SQL clause is used to filter data based on a specific condition?

3. Which SQL keyword is used to combine rows from two or more tables based on a related column?

4. Which SQL clause is used to sort the result of a query in ascending or descending order?

5. Which SQL function is used to find the highest value in a column?

6. Which SQL statement is used to add new data to a table?

7. Which SQL keyword is used to retrieve unique values from a column?