Category: Tutorials

Free Download Stillness Made Simple The 21-Day Meditation Habit
Published 4/2026
Created by Nivritti Yoga
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 15 Lectures ( 3h 18m ) | Size: 3.8 GB

Build a Strong Foundation for Daily Meditation with the Traditional Practice of Kaya Sthairyam.
What you’ll learn
✓ Build a habit of meditation with 21 days progressive series of meditation.
✓ Calmness through stillness.
✓ Be better at handling unpleasant situations around yourself.
✓ Experience greater clarity and peace.
✓ The joy of beginning a spiritual journey, under a authentic tradition.
Requirements
● No prerequisites. You do not have to know anything about yoga or meditation. In fact, it would be even better if you haven’t got any prior knowledge.
● Preferable to have a quiet place where you wont be disturbed for 10 to 20 minutes.
● Headphones to be used for a really immersive experience.
Description
Inspired by the notion that it takes 21 days to create a habit, each 21-Day Meditation is ideal for beginners as well as for advanced practitioners.
with this course, the body becomes still and the mind experiences peace.
Our mind is like a little child. If you order a child to do something, he will quite often do the opposite. There appears to be a rebelliousness, a need to defy. The mind acts in the same way. If you force the mind to forget the body and be aware of another subject, it seems to suddenly develop a fascination for the body. The more you try to forget the body, the more difficult it becomes.
Knowing this tendency of the mind, this course adopts a contrary approach. That is, it almost forces the mind to be aware of the body for a long period of time. The mind, as usual, rebels. The mind automatically tries to think of something else and it forgets the body. And this is exactly the aim of meditation practices. After practicing intensely every day you will find that the awareness spontaneously directs itself inwards and the Mind is calm and with peace.
The Meditation technique followed in this course is traditionally known as Kaya Sthairyam.
Meditation is a state that arises when following a meditation technique.
Meditation techniques usually consist of one sitting still in one of the classical meditation postures.
One ensures the body is still and comfortable.
One’s awareness is withdrawn from the senses and is directed inwards.
One begins to steady the mind by the process of Kaya Sthairyam.
Then one gives a ‘concentration method’ to the mind such as ‘watching the breath or repeating a mantra mentally to oneself.
In time and with practice, one’s awareness begins to merge with the object of meditation. If one is fortunate the state of meditation and bliss arises which is beyond the ability of words to describe.
The first stage is Pratyahara or detachment from the senses.
The second stage is Dharana or Steadying the mind
The third stage is Dhyana or mindless attention. merging.
The fourth stage which arises of its own accord is Samadhi or Bliss which defies Description
Kaya sthairyam is a basic practice of concentration on the steadiness of the body.
Who this course is for
■ This course is for you, if you’re new to meditation or an expert practitioner.
■ If you want a little respite from stress , anxiety and the hectic pace of modern life.
■ If you’re looking to become a better version of yourself.
■ If you are troubled by insomnia, fatigue or agitation
■ If you desire to get a taste of true bliss and freedom within yourself.
■ If you are plagued with health issues acute or chronic.
■ if you want to develop a habit of meditation.
■ if you are looking for Guided meditations from the authentic tradition which help you to accomplish your spiritual and worldly goals.
Homepage
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https://www.udemy.com/course/stillness-made-simple-the-21-day-meditation-habit

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Free Download Step-By-Step Starry Night Painting With Acrylics, Blending
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 8.03 GB | Duration: 2h 21m
Starry Night Made Easy – Acrylic Painting for Beginners
What you’ll learn

Create a beautiful Starry Night-inspired painting using step-by-step guidance.
Learn basic acrylic painting techniques, including brushwork, color blending, and layering.
Gain confidence in painting, even if you’ve never painted before.
Understand how to interpret and recreate Van Gogh’s style in your own unique way.
Complete a full painting project from start to finish with guidance.
Develop an eye for color and composition in your own paintings.
Requirements
No prior painting experience is required – this course is perfect for beginners! Basic familiarity with handling a brush and paint is helpful, but not necessary. Students will need: Acrylic paints (basic colors) Paintbrushes (various sizes) A canvas or thick painting paper A palette or plate for mixing colors A cup of water for cleaning brushes and some paper towels A willingness to have fun and explore your creativity!
Description
Have you ever wanted to paint Starry Night, but felt it might be too difficult? This course breaks it down into simple, manageable steps so anyone can follow along and create their own version with confidence.In this course, you’ll learn how to paint a Starry Night-inspired artwork using acrylic paint, even if you’re a complete beginner. Each section is taught step-by-step, making it easy to understand, enjoyable to follow, and flexible to work at your own pace.We’ll cover everything from building the background and mountains to creating the iconic swirls, stars, and moon using simple techniques that you can apply to future paintings as well.In this course, you will learn:How to break down a complex painting into simple stepsAcrylic painting techniques for beginnersBlending and layering for smooth backgroundsBrush techniques to create movement, texture, and depthHow to build confidence in your painting processThis course is perfect for beginners, but also great for anyone who wants a fun and relaxing painting experience while learning new techniques. You don’t need any prior painting experience-just a willingness to learn and enjoy the process.By the end of this course, you will have your own Starry Night painting and a better understanding of how to approach future artwork with confidence and creativity.
Beginners who have never painted before but want to try their hand at acrylic painting. Hobbyists and art lovers looking for a fun, guided project to create a beautiful Starry Night-inspired painting. Students who want to build confidence in their painting skills while learning basic techniques. Anyone who enjoys creative activities and wants to explore Van Gogh’s iconic style in a step-by-step, approachable way.
Homepage
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https://www.udemy.com/course/step-by-step-starry-night-painting-with-acrylics-blending/

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Free Download Stay Relevant in AI Era Future-Proof Your Career Now
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 53m | Size: 2.08 GB
Master AI trends, future-proof skills, and career strategies to stay ahead in the age of automation and rapid change.

What you’ll learn
Understand how AI is transforming industries and job roles
Identify jobs at risk and future-proof career paths
Build emotional intelligence, creativity, and decision-making skills
Create a personalized upskilling and learning system
Master networking and relationship-building strategies
Learn how to collaborate effectively with AI tools
Apply real-world insights from global case studies
Position yourself as an AI-ready professional
Build a long-term career growth strategy in the AI era
Requirements
No prior knowledge of AI required
Basic understanding of professional work environments
Willingness to learn and adapt to new technologies
Interest in career growth and future-proofing skills
Access to internet and a device for learning
Description
This course contains the use of artificial intelligence.
The rapid rise of artificial intelligence is transforming industries, redefining job roles, and reshaping the future of work. If you want to stay competitive, grow professionally, and secure your career in this evolving landscape, this course is your complete roadmap.
In this practical and insight-driven course, I walk you through exactly how AI is impacting jobs, which skills are becoming obsolete, and most importantly what you can do to stay ahead. You’ll not only understand AI but also learn how to position yourself as a high-value professional in an AI-powered world.
This course is structured into 6 powerful modules covering everything from the fundamentals of AI to advanced career strategies. You’ll explore real-world case studies from countries like the USA, UK, Germany, and Singapore, giving you global insights into how professionals are adapting and thriving.
You’ll learn how to develop human-centric skills that AI cannot replace, build a strong professional network, and create a personalized upskilling system that keeps you relevant long-term. Whether you’re a beginner or an experienced professional, this course gives you actionable strategies not just theory.
By the end of this course, you won’t just understand the AI revolution you’ll be ready to lead in it.
Who this course is for
Students preparing for future careers
Working professionals seeking career growth
Managers and leaders adapting to AI transformation
Freelancers and entrepreneurs wanting to stay competitive
Anyone worried about job security in the AI era
Individuals interested in personal and professional development

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Free Download Statistics Central Limit Theorem and Hypothesis Testing
Last updated 9/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 58m | Size: 772 MB
Get a thorough understanding of the most important concepts in Statistics – Central Limit Theorem and Hypothesis Testing

What you’ll learn
Understand Normal & Standard Normal Distribution and feel much more confident in solving the questions
Build a good intuitive understanding of Central Limit Theorem – One of the most important concepts in Statistics
Understand the basics and essence of Hypothesis Testing
Solve exam style questions in a step by step manner with much more confidence
Requirements
Basics of Statistics (Random Variable, Probability Distributions etc.)
Knowledge of MS Excel (Preferred, not necessary)
Description
This course is the key to build an excellent understanding of Inferential Statistics. It has students (from over 100 countries) and here is what some of them have to say
"Well explained sir, every concept is clear as water and the way you explain is very easy to understand the concept. Worth buying this course" ~ K Roshnishree
"The explanations are quite intuitive and the best part is that the course includes practice problems which helps in building the concepts" ~ Swati Sahu
"The detail level coverage of the basic topics is amazing" ~ Rehana Shake
"This instructor is doing a fine job explaining the statistics concepts" ~ Frank Herrera
"Very clear examples, thank you sir!" ~ Gitartha Pathak
Course Description:
This course is designed for students who are struggling with Statistics or who are complete beginners in statistics.
How is this course structured?

• Section 1 and 2: These 2 sections cover the concepts that are crucial to understand the basics of hypothesis testing – Normal Distribution, Standard Normal Distribution, Sampling, Sampling Distribution and Central Limit Theorem. (Before you start hypothesis testing, make sure you are absolutely clear with these concepts)
• Section 3: This section caters to the basics of hypothesis testing with three methods – Critical Value Method, Z-Score Method and p-value method.

My approach is hands on: Concepts, examples and solved problems addressing all the concepts covered in the lectures.
Note : Only Hypothesis Testing in Case of Single Population Mean is covered
Who this course is for
Students who are new to statistics
Students who are struggling with statistics
Students who want a refresher of important statistics concepts in a simple and detailed manner

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The must have foundational guide for all data science and machine learning developers

What you’ll learn
Learn the foundational concepts of statistics and mathematics using Python
Learn how data science and machine learning work under the hood
Learn by implementing the abstract concepts

Requirements
Basic knowledge of Python will be needed to finish the course

Description
Master the Statistics & mathematics that powers Data Science!!

"Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician." – Josh Wills

Data science is all about leveraging data to draw meaningful insights. And undoubtedly, converting raw and quantitative data into an organized form requires a lot of knowledge & hard work. When it comes to data science, mathematics & statistics are the 2 important pillars around which the majority of the concepts revolve.

Though expecting everyone to become the Aryabhatta can be wrong, but one can definitely dedicate some time to learn all the important concepts of Mathematics & Statistics to master Data Science, one of the most trending fields of this digital economy.

Considering the high demand for data scientists & all-time high skill gaps, we have curated this online course entirely dedicated to Statistics & Mathematics behind Data Science. All the covered concepts will aid you in identifying patterns from the data and help you to create algorithms.

Why you should learn Mathematics & Statistics for Data Science?

Maths & stats are the building blocks of data science

You will be able to create various algorithms

You can easily interpret data effectively

Helps in identifying & solving complex real-world problems

Model Selection based on their inherent limitations

Why you should take this course?

This course on statistics & mathematics is a perfect way of learning & understanding the important concepts involved in data science. You will learn all the maths & stats behind data science through its handcrafted sections in the most interactive way possible.

It covers everything from Vocabulary & Descriptive statistics to NLP along with all the important tools. In the end, a project is also included on data visualization & optimization to ensure complete learning.

This course includes:

Working with Google Colab

Vocabulary & descriptive statistics

Distribution types- Uniform, binomial, Poisson, normal & fitting

Inferential statistics with visualizations

Who this course is for:
Any one who wants to master the statistics and mathematics of Data science will find this course very useful

More Info

Free Download Statistical Analysis of Agricultural Data Using R
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 42m | Size: 1.79 GB
R for Agricultural Data Analysis – Experimental Designs & Multivariate Statistics

What you’ll learn
Apply biometrical tools and experimental designs such as CRD, RBD, split-plot, strip-plot, and seed testing designs in agricultural research
Analyze agricultural and plant breeding data using R (RStudio), including ANOVA, variance components, genetic parameters, GCA, SCA, and heterosis
Interpret genotype x environment interaction and stability using AMMI, GGE biplot, PCA, and cluster analysis with hands-on implementation in R
Understand biometrical genetics and perform QTL and GWAS analysis using R packages such as GAPIT and rrBLUP for crop improvement studies
Requirements
Basic understanding of agriculture or plant breeding concepts is helpful, but detailed statistical knowledge is not mandatory.
Introductory knowledge of statistics (mean, variance, ANOVA basics) is recommended for better comprehension
A computer or laptop with the ability to install R and RStudio (Windows, macOS, or Linux)
No prior programming experience in R is required; all necessary R concepts will be explained step by step during the course
Description
Develop a strong foundation in using R for the analysis of agricultural experimental data, with a particular focus on real-world field experiments and plant breeding datasets. This program is designed to help learners understand the practical aspects of data handling, statistical modeling, and interpretation within an agricultural research context.
Participants will gain the ability to design, analyze, and interpret experiments using a wide range of experimental designs, including Completely Randomized Design (CRD), Randomized Block Design (RBD), Latin Square Design (LSD), split plot, strip plot, augmented, and lattice designs. Emphasis is placed on implementing these designs in R, understanding the underlying assumptions, and correctly interpreting outputs for scientific reporting.
The course also builds competence in exploratory data analysis and visualization of agricultural traits using base R and ggplot2. Learners will develop skills in data cleaning, summarization, and graphical representation to uncover patterns, trends, and outliers in experimental data.
In addition, advanced statistical techniques such as correlation analysis, path coefficient analysis, and multivariate methods-including Principal Component Analysis (PCA), cluster analysis, and Mahalanobis D² statistics-are introduced. These tools are essential for studying genetic divergence, identifying trait relationships, and selecting suitable parents in breeding programs.
A key focus of the program is to strengthen the ability to translate statistical outputs into biologically meaningful interpretations. Learners will be trained to connect analytical results with practical breeding decisions, ensuring relevance to crop improvement strategies. By integrating statistical knowledge with domain-specific applications, the course prepares learners to handle complex datasets and contribute effectively to agricultural research and plant breeding programs.
Who this course is for
Undergraduate and postgraduate students of agriculture, plant breeding, genetics, and allied sciences who want to strengthen their statistical data analysis skills using R
PhD scholars and agricultural researchers involved in experimental design, data analysis, genotype evaluation, and interpretation of research results
Faculty members, scientists, and extension professionals seeking practical, hands-on training in biometric analysis and statistical genetics using RStudio
Seed technologists, breeding professionals, and agribusiness analysts who work with experimental and field trial data and need reliable statistical tools

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Free Download Start Online Accounting Business From Zero to First Clients
Published 4/2026
Created by Anita Sajkiewicz FCCA
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 31 Lectures ( 5h 28m ) | Size: 4.56 GB

Learn how to launch your own accounting or bookkeeping business, set up systems, and get your first paying clients
What you’ll learn
✓ Start your own online accounting or bookkeeping business alongside your current job
✓ Choose a clear niche and define your ideal client
✓ Decide what services to offer and how to package them into simple, attractive offers
✓ Set up your business in a practical way without overcomplicating the process
✓ Build a simple tech stack to run your business efficiently
✓ Create a basic but effective online presence for your services
✓ Start marketing your business, even if you have limited time
✓ Find and attract your first potential clients
✓ Handle client enquiries and run discovery calls with confidence
✓ Convert leads into paying clients using a clear process
✓ Onboard new clients in a structured and time-efficient way
✓ Manage your time and stay consistent while building your business on the side
Requirements
● Basic understanding of accounting or bookkeeping principles
● Some experience working in accounting, finance, or bookkeeping (even at a junior level is fine)
● A computer or laptop with internet access
● Willingness to take action and apply what you learn step by step
● No prior business experience is required
Description
Start Your Own Online Accounting or Bookkeeping Business and Get Your First Clients
If you’ve been thinking about starting your own accounting or bookkeeping business, but you’re not sure where to begin, this course will walk you through the entire process step by step.
Whether you’re currently working in a corporate finance role, already doing some bookkeeping, or exploring a side hustle using your accounting skills, this course gives you a clear, practical roadmap to get started.
You don’t need prior business experience. You don’t need a complicated setup. You just need a plan that works, and that’s exactly what you’ll build here.
What this course will help you do
By the end of this course, you’ll have a clear path to launching your own online accounting or bookkeeping business.
You will learn how to
• Decide what services to offer and how to package them
• Choose your niche and define your ideal client
• Set up your business in a simple and practical way
• Build a basic but effective tech stack to run your operations
• Create a clear and attractive offer for your services
• Start marketing your business, even if you’re still employed
• Find and attract your first clients
• Run discovery calls and convert enquiries into paying clients
• Onboard new clients in a structured and efficient way
This is not just theory. You’ll follow a step-by-step process that you can apply immediately.
A practical, structured approach (no guesswork)
This course is designed to take you from "I don’t know where to start" to actually building and launching your business.
You’ll go through a structured journey
• First, you’ll overcome the common obstacles that hold most people back
• Then, you’ll make the key decisions that give you clarity and direction
• Next, you’ll set up your business, tools, and basic systems
• And finally, you’ll focus on getting your first clients and building momentum
Each module builds on the previous one, so you always know what to do next.
Built for busy professionals
If you’re currently working full-time, this course is designed with you in mind.
Lessons are short and focused, so you can make progress even with limited time. You don’t need to quit your job to get started. You can build your business step by step alongside your current role.
Real-world guidance, not generic advice
This course is based on real experience of building an online accounting practice from scratch.
Instead of generic business advice, you’ll get practical guidance, examples, and templates that you can use in your own setup.
You’ll also get access to supporting materials such as
• Worksheets and checklists
• Templates for client communication and onboarding
• Practical tools to help you stay organised and move forward
Who this course is for
■ Accountants who want to start their own online practice
■ Bookkeepers looking to grow a client-based business
■ Finance professionals wanting to transition out of corporate
■ Side hustlers with accounting skills who want extra income
■ Anyone interested in building a location-independent accounting business
Homepage
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https://www.udemy.com/course/start-online-accounting-business

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No Password – Links are Interchangeable

Free Download SQL for Beginners Learn Database for ASP.NET Developers
Last updated 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 30m | Size: 799.53 MB
SQL for beginners: Build confidence with queries, tables, joins, and real‑world database applications

What you’ll learn
Understand how databases work
Write powerful SELECT queries
Filter and sort data efficiently
Master JOINS (INNER, LEFT, RIGHT, FULL)
Requirements
No prior SQL knowledge required – we start from the basics
Description
SQL Mastery: From Basics to Advanced with 10 Real-World Case Studies
Master SQL Step-by-Step – From Beginner to Advanced Level
Do you want to confidently write SQL queries, analyze data, and build real-world database solutions?
This complete SQL course is designed to take you from absolute beginner to advanced level, using a structured 30+ day learning path combined with 10 practical case studies.
Whether you are a student, developer, or working professional, this course will give you strong, job-ready SQL skills.
What You’ll Learn
Understand how databases work
Write powerful SELECT queries
Filter and sort data efficiently
Master JOINS (INNER, LEFT, RIGHT, FULL)
Work with GROUP BY, HAVING & Aggregations
Use Subqueries and Common Table Expressions (CTEs)
Apply Window Functions (ROW_NUMBER, RANK, LEAD, LAG)
Improve performance using Indexes & Query Optimization
Create Stored Procedures, Views & Triggers
Handle Transactions safely (BEGIN, COMMIT, ROLLBACK)
Solve real-world business problems using SQL
Structured 30-Day Learning Plan
This course follows a clear step-by-step structure
• Foundations & Core Queries
• Relationships & Joins
• Aggregations & Data Analysis
• Advanced Query Techniques
• Performance Optimization
• Database Programming
• Real-World Case Studies
• Final Capstone Project
You won’t just learn theory – you’ll apply everything practically.
10 Real-World Case Studies Included
Practice SQL using real business scenarios such as
• E-Commerce Sales Analysis
• Hospital Management System
• Banking System
• Inventory & Retail Systems
• Airline & Hotel Management
• University Database Systems
• And more
These case studies will help you think like a real database developer or data analyst.
Who this course is for
Beginners who want to learn SQL from scratch

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No Password – Links are Interchangeable

every sql topic includig, most complex topics like triggers, stored proc were explained easily for better understanding.

What you’ll learn
Learns how to install mysql workbench
Learns how to work with mysql commands
Learns how data is stored and modified in SQL
Will provide complete knowledge on all database objects of sql
Data analytics, Data engineering, Data science, Database development

Requirements
No programming knowledge required, Learner must have a laptop/computer to pracice
Completely for beginners to make you expert.

Description
Why SQLStore large number of recordsShare huge data set among many peopleAdd and edit data easilyQuick and easy to find informationRDBMS TERMINOLOGYColumn as Attribute Row as Entity InstanceTable as EntityAlternateKey as UniqueKeyRELATIONSHIPS Cardinality90% of the tables in database will be linked with another tables.10%of the tables will be independent.There are three types of relationships between tablesone to oneone to manymany to manyTables can have a single / multiple relationships or may not have relationships.Structured data – 2 dimensional data Rows,ColumnsPrimaryKey in one table will be given as ForiegnKey in another table to build relationship.DATA MODELINGRDBMSPrimaryKey & ForiegnKey with relationship between them.1 to 1 – any PrimaryKey can become ForiegnKey1 to many employees in a departmentPK of parent table will be FK in child tableDepartment table Deptid(PK),DeptName,Employees Table Empid,EmpName,DeptId(FK)many to many(students and teachers,patients & doctors,Hospital & Doctors)(TeacherId,TeacherName)(StudentId,StudentName,TeacherId)New table will be created and extra column will be added(Bridge Table)Patient Table(PatientNo(PK),PatientName,Adress),Doctors Table(DoctorNo(PK),Name,Qualification,Salary, DateOfJoining, DateOfResigning)Patient Doctor Table()SDLC-Software Development Life CycleRequirement Analysis & Design Development Testing ReleaseDomain expert(SRS documentation) Architect SQL developers Testers Deployers(TL/Manager)ERD(Entity Relationship Diagram)Peter Chan-Used to design DatabaseReferential Integrity SQL server performs existence check when we create relationship.SELF REFERENTIAL TABLESA table which has both PrimaryKey and ForiegnKey in it & ForiegnKey refering the primary key in the same table.You are going to learn commands (DDL,DML,DQL,DCL,TCL)datatypes constraints CONSTRAINSNull DefaultPrimaryKey UniqueKeyForiegnKeyCheckAuto Incrementviewsoperatorsquery writingjoinssub queryderived tableViews IndexesStored ProceduresTriggers FunctionsCursors

Who this course is for:
Beginner who is planning to learn mysql completely,SQL for professional learners and working professionals and developers

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SQL & PostgreSQL Tutorial: Become an Expert in SQL and PostgreSQL by Writing SQL Queries using PostgreSQL and PgAdmin 4.

What you’ll learn

How to create a database from scratch.

Use SQL to perform data analysis.

Perform complex SQL queries using joins and subqueries.

Understand database concepts such as database relationships.

Confident putting SQL and PostgreSQL on your resume.

Requirements

No previous knowledge of SQL or PostgreSQL is needed for this course.

Description

Become an expert in SQL and PostgreSQL with this bestselling course!SQL is one of the most in-demand tech skills across many industries so learning SQL is one of the best ways to boost your career! After taking this course you will be comfortable putting SQL and PostgreSQL on your resume/CV. In the age of Big Data and Data Analysis, demand for employees with SQL skills has never been higher and will only increase in the future. Stand out from the crowd and learn SQL today. PostgreSQL is the World’s most advanced open source relational database. It has a strong reputation for its reliability, data integrity and robustness. Because of this, PostgreSQL is one of the most popular and widely used database systems in the world. Companies who use PostgreSQL include Apple, Cisco, Spotify, Fujitsu, Skype, Netflix and IMDb. A 2019 survey of stackoverflow developers reported that one third of developers used PostgreSQL on a daily basis in their professional lives, up from 25% in 2018. In 2019 PostgreSQL was the fastest growing database for the third year in a row. PostgreSQL experience really is a desired skill in the tech industry. Here’s what students are saying about this SQL course: Christopher says – "A really great course. The structure was well setup and the pacing was perfect. Each section and lecture flowed well in to the next. The exercises and solutions were very helpful. I was new to sql and postgresql before taking this course but I can now say that I am comfortable with both." Erin Todd says – "I love this course so far very easy to follow and interactive."Raymond Beauchamp says – "Amount of information is good for a beginner course. Was beneficial in increasing my understanding of the subject. Instructor was knowledgeable, and was easy to follow." John Hellmann says – "Very concise lectures! Was a great course overall"Abhinav Sharma says – "The explanations are really clear and the course structure is very well thought out."By the end of this course you will know how to:Create a relational database from scratchCreate, alter and delete tables from a databaseInsert, update and delete data from a table Retrieve data from a database using select queriesFilter data using where clauses and logical operators Order and limit data retrieved from a tableUse aggregate functions and group data to gain more meaningful insights from a databaseRelate tables together using database relationshipsUse SQL join queries to retrieve data from multiple tables in a single queryMaster complex SQL subqueriesApply SQL string functions to data in PostgreSQL

A step-by-step video of how to install and setup PostgreSQL is included and the setup is completely FREE.The SQL code for each video is included as a resource so you can easily access it. There are SQL exercises, and video solutions, along the way to help you improve your knowledge and SQL skills. I will be actively answering any questions you may have about the course in the Q&A section. The course will be continually updated with more sections in the future.
Watch the free preview videos and start learning SQL – one of the most important and in-demand technology skills!

Overview

Section 1: Course Introduction

Lecture 1 Course Introduction

Lecture 2 A Few Notes on this Course

Section 2: Introduction to Databases, SQL and PostgreSQL

Lecture 3 What is a Database?

Lecture 4 Relational Databases and SQL

Lecture 5 Installing PostgreSQL for Mac

Lecture 6 Installing PostgreSQL for Windows

Section 3: SQL & PostgreSQL : Data Definition Language – Creating Our Movie Database

Lecture 7 Section Introduction

Lecture 8 Database Tables

Lecture 9 Data Types Explained

Lecture 10 Primary Keys and Foreign Keys

Lecture 11 Unique, Not Null and Check Constraints

Lecture 12 Creating Our First Table

Lecture 13 Creating the Actors Table

Lecture 14 Creating a Table with a Foreign Key

Lecture 15 Creating the Movie Revenues Table

Lecture 16 Creating a Junction Table

Lecture 17 Modifying Tables Part 1: Adding Columns

Lecture 18 Modifying Tables Part 2: Changing a Columns Data Type

Lecture 19 Deleting Tables from a Database

Lecture 20 Challenge: Data Definition Language

Lecture 21 Solution: Data Definition Language

Lecture 22 Section Summary

Section 4: SQL & PostgreSQL: Data Manipulation Language

Lecture 23 Section Introduction

Lecture 24 Inserting Data into a Table

Lecture 25 Updating Data in a Table

Lecture 26 Deleting Data from a Table

Lecture 27 Inserting Data into Our Movie Data Database

Lecture 28 Challenge: Data Manipulation Language

Lecture 29 Solution: Data Manipulation Language

Lecture 30 Section Summary

Section 5: SQL & PostgreSQL : Retrieving Data from a Table – Select Queries

Lecture 31 Section Introduction

Lecture 32 Select Queries

Lecture 33 Where Clauses

Lecture 34 Logical Operators

Lecture 35 Challenge 1: Select Queries

Lecture 36 Solution 1: Select Queries

Lecture 37 In, Not In

Lecture 38 Like

Lecture 39 Between

Lecture 40 Challenge 2: Select Queries

Lecture 41 Solution 2: Select Queries

Lecture 42 Order By

Lecture 43 Limiting the Number of Results

Lecture 44 Fetch

Lecture 45 Distinct Values

Lecture 46 Challenge 3: Select Queries

Lecture 47 Solution 3: Select Queries

Lecture 48 Null Values

Lecture 49 Setting a Column Name Alias

Lecture 50 Concatenation

Lecture 51 Challenge 4: Select Queries

Lecture 52 Solution 4: Select Queries

Lecture 53 Section Summary

Section 6: SQL & PostgreSQL : Aggregate Functions and Grouping Data

Lecture 54 Section Introduction

Lecture 55 Aggregate Functions Explained

Lecture 56 Count Aggregate Functions

Lecture 57 Sum Aggregate Function

Lecture 58 Min and Max Aggregate Functions

Lecture 59 Average Aggregate Functions

Lecture 60 Challenge 1: Aggregate Functions

Lecture 61 Solution 1: Aggregate Functions

Lecture 62 Grouping Data

Lecture 63 Having Clauses

Lecture 64 Challenge 2: Aggregate Functions

Lecture 65 Solution 2: Aggregate Functions

Lecture 66 Mathematical Operators

Lecture 67 Section Summary

Section 7: Database Relationships

Lecture 68 Section Introduction

Lecture 69 What Are Database Relationships?

Lecture 70 One to One Relationships

Lecture 71 One to Many Relationships

Lecture 72 Many to Many Relationships

Lecture 73 (Optional) Challenge: Database Relationships

Lecture 74 Solution: Database Relationships

Lecture 75 Section Summary

Section 8: SQL & PostgreSQL: Joining Tables

Lecture 76 Section Introduction

Lecture 77 SQL Joins Explained

Lecture 78 Inner Joins Part 1

Lecture 79 Inner Joins Part 2

Lecture 80 Inner Joins Part 3

Lecture 81 Challenge 1: Joins

Lecture 82 Solution 1: Joins

Lecture 83 Left Joins

Lecture 84 Right Joins

Lecture 85 Full Joins

Lecture 86 Challenge 2: Joins

Lecture 87 Solutions 2: Joins

Lecture 88 Joining More Than Two Tables

Lecture 89 Challenge 3: Joins

Lecture 90 Solution 3: Joins

Lecture 91 Union

Lecture 92 Union All

Lecture 93 Challenge 4: Joins

Lecture 94 Solution 4: Joins

Lecture 95 Intersect

Lecture 96 Except

Lecture 97 Challenge 5: Joins

Lecture 98 Solution 5: Joins

Lecture 99 Section Summary

Section 9: SQL & PostgreSQL: Subqueries

Lecture 100 Section Introduction

Lecture 101 Subqueries Explained

Lecture 102 Uncorrelated Subqueries Part 1

Lecture 103 Uncorrelated Subqueries Part 2

Lecture 104 Challenge 1: Subqueries

Lecture 105 Solution 1: Subqueries

Lecture 106 Correlated Subqueries

Lecture 107 Challenge 2: Subqueries

Lecture 108 Solution 2: Subqueries

Lecture 109 Summary

Section 10: SQL & PostgreSQL: String Functions

Lecture 110 Section Introduction

Lecture 111 Cloning a Database

Lecture 112 Upper and Lower String Functions

Lecture 113 Initcap Function

Lecture 114 Left and Right String Functions

Lecture 115 Reverse Function

Lecture 116 Challenge 1: String Functions

Lecture 117 Solution 1: String Functions

Lecture 118 Substring Function

Lecture 119 Replace Function

Lecture 120 Split Part Function

Lecture 121 Using the Cast Operator to Apply String Functions to Non-String Data Types

Lecture 122 Challenge 2: String Functions

Lecture 123 Solution 2: String Functions

Lecture 124 Summary

Section 11: Bonus Material

Lecture 125 Bonus Lecture

Anyone wanting to learn SQL or PostgreSQL.,Anyone with a basic knowledge of SQL but is new to PostgreSQL.,Anyone wanting to learn more about databases.