Using PostgreSQL , Real world Database & Python For Data Analysis & Data Science from scratch with Challenge& Projects .
What you will learn
Using Real World PostgreSQL Database Airlines Database.
Learn coding in Python by examples.
How to Use Python & SQL to Analyze and visualize Data.
Use Python to visualize Postgres Data Output and get your Conclusion about Data.
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.
Use SQL to perform advanced techniques to retrieve data from databases.
Use Python with SQL Postgres database.
Use Python to load Postgres Data Output file.
Learn Python & SQL by doing through Python Projects.
Description
Python & SQL Programming course, full Guide for Data Analysts, Python & SQL Programmers also Python & SQL Developers in a simple and easy way with Python Examples, Python quizzes, Resources , Python OOP , Python Data Analysis, Python Database Python Apps & Python Scripting to master Python 3 & SQL from zero to hero For Data Analysis & Data Science in this course and from beginner to advanced.
What you will learn in this course ?
- Learn Python by doing Real World Projects in, Python Data Analysis, Python Database & Python Scripting.
- In this course you will learn how to Install Python 3.
- In this course you will learn how to use python IDLE.
- In this course you will learn how to choose Python IDE to learn coding.
- In this course you will learn how to Install Anaconda for Python coding.
- In this course you will learn how to use Online Jupyter for Python Programming.
- In this course you will learn how to use Python IDLE.
- In this course you will learn how What the difference between Variables & Operators in Python.
- In this course you will learn Operators Types in Python.
- In this course you will learn Python Data Types.
- In this course you will learn String Functions & entries in Python.
- In this course you will learn how to use Input String Function in Python.
- In this course you will learn Python Data Structures.
- In this course you will learn how to create Lists & lists operations in Python.
- In this course you will learn how to create Dictionaries & Dictionaries operations in Python .
- In this course you will learn how to create Tuples & Tuples operations in Python.
- In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python.
- In this course you will learn how and when to use Control Flow and Loops in Python.
- In this course you will learn IF Statement and control flow in Python.
- In this course you will learn how and when to use For Loop in Python.
- In this course you will learn how and when to use While Loop in Python.
- In this course you will learn how to Handle Errors in your Python programs.
- In this course you will learn how and when to use Python Functions.
- In this course you will learn how and when to create functions in Python.
- In this course you will learn how and when to use Lambda Expression in Python.
- In this course you will learn how to create and use to Python Modules.
- Lear how to use Python to open files.
- Learn coding in Python by examples in this course.
- Apply what you will learn in Python through exercises in this course.
- Recap files to review what will learn in Python in this course.
Why to master Python Programming Language by this course ?
Python is a high level programming language, strong, elegant, and easy to learn.
Python is Faster than R programming language when used for data science.
Python Has lots of libraries which facilitate its use for data analysis.
Python is Objective oriented programming Language so you can use objects when coding in python.
Python is Free open source programming language.
Python can be used for a large variety of programming tasks, such as for desktop applications, game programming and mobile development all of that can be done using Python programming Language.
Python is a cross platform language, which means that code written for one operating system, such as Windows, will work well on Mac OS or Linux without making any changes to the Python code.
Also you will learn many tips and tricks in PostgreSQL to query data through the following Topics covered in this course:
Using Real World PostgreSQL Database Airlines Database.
- What is a Database
- SQL database for beginners.
- Installing PostgreSQL database.
- Creating Tables in database using SQL.
- Drop table from SQL database
- SELECT Statement use with SQL database data querying
- WHERE Clause use with SQL database data querying
- Operators used with Where clause in SQL database data querying .
- AND & OR use with SQL database data querying
- like use with SQL database data querying .
- Filtering Operators use with SQL database data querying .
- ORDER BY use with SQL database data querying .
- LIMIT use with SQL database data querying .
- DISTINCT use with SQL database data querying .
- Renaming Column in SQL database.
- Functions use with SQL database data querying .
- GROUP BY & HAVING Clauses use with database data querying .
- Aggregation Queries in SQL database.
- CASE Clause use with database data querying .
- Time & date data in SQL in database.
- Challenges for more SQL practice in this course.
Why you Should Learn Structured Query Language (SQL)?
SQL used to be originally created to enable non-IT professionals to query facts from datasets except wanting to ask a programmer for help. SQL aimed to be a whole lot greater effective than interfaces such as question through example, and greater bendy than prebuild reports. The goal was once to enable new approaches of inspecting and querying present data.
SQL is a declarative language – the consumer tells the database which information is required and the database decides how to function the command. The emphasis is on the end result of the manner rather than the technique itself – the ends as an alternative than the means. This contrasts to the ancient way of programming, in which the user had to describe the statistics gathering step-by-step. However, the success and efficiency of SQL depends upon customers asking the right questions, and this is where SQL can help. SQL teaches database users how to pleasant phrase their questions in order to receive the fastest, most accurate solutions from the database.
Besides being in a position to use SQL to query databases, gaining knowledge of it additionally encourages us to build effective mental fashions to suppose about data. We acquire and store more and greater facts – and being be successful of reasoning that statistics is a effective mental ability. Just suppose of all the records accrued by using large social networks or corporations that defend the free world!
PostgreSQL is free, open and unlimited, PostgreSQL is on hand for free and it is open. It will by no means be bought. This makes it the exceptional device for getting to know about relational databases. PostgreSQL has very exhaustive and designated documentation. Although hard on the beginner – it is challenging to discover an easy entry factor – having mastered the first step, you will in no way run out of facts to further your knowledge.
May also be the ultimate reply when your development stalls – which isn’t precisely comforting, but a lot better than knowing there is no viable answer.
Relational databases are nonetheless the workhorses of the laptop industry. PostgreSQL has an advanced implementation of SQL and is very close to the SQL standard. So your know-how would be of use as it is transferable, so different SQL databases are reachable to you.
It’s correct for your thought – and your career!
Still want convincing that gaining knowledge of SQL is worth it?
Well, in addition to developing new neural pathways in your brain, it could do wonders for your profession possibilities as it will make you a applicable candidate. Having “PostgreSQL knowledge” in your CV and on-line profile will almost clearly attract the attention of recruiters.
Content
- Course Overview: Data Analyst Boot Camp 2026: Get Ready To Be A Data Analyst.
- Embark on a transformative journey to become a proficient Data Analyst, equipped with the essential skills demanded by today’s data-driven world.
- This intensive boot camp is meticulously designed to take you from novice to job-ready, focusing on practical application and real-world problem-solving.
- Gain a comprehensive understanding of the data analysis lifecycle, from data acquisition and cleaning to insightful visualization and interpretation.
- You will master the art of extracting meaningful stories from raw data, empowering you to make informed decisions and drive business strategies.
- The curriculum emphasizes hands-on learning through engaging challenges and impactful projects, mirroring the tasks you’ll encounter in a professional setting.
- Prepare to excel in a rapidly evolving field, where the ability to translate data into actionable insights is paramount.
- This program is your fast track to a rewarding career in data analytics, offering a structured and supportive learning environment.
- Requirements / Prerequisites:
- No prior programming or data analysis experience is required.
- A strong desire to learn and a commitment to dedicating time and effort to the program.
- Basic computer literacy and familiarity with using operating systems and web browsers.
- A reliable internet connection for online learning resources and platform access.
- A proactive mindset and willingness to tackle challenges independently and collaboratively.
- Skills Covered / Tools Used:
- Database Management: In-depth proficiency in PostgreSQL, including designing, querying, and managing relational databases.
- Data Manipulation & Analysis: Mastery of Python libraries such as Pandas for efficient data wrangling, cleaning, and exploratory data analysis.
- Data Visualization: Creating compelling visual representations of data using libraries like Matplotlib and Seaborn to communicate findings effectively.
- Statistical Foundations: Understanding core statistical concepts relevant to data analysis and interpretation.
- Problem-Solving: Developing analytical thinking to break down complex data problems and devise solutions.
- Database Design Principles: Learning to structure databases for optimal performance and data integrity.
- SQL Querying: Advanced SQL techniques for complex data retrieval and manipulation.
- Data Science Concepts (Introductory): An introduction to fundamental data science principles to broaden your analytical toolkit.
- Benefits / Outcomes:
- Career Readiness: Graduate with a portfolio of real-world projects that showcase your skills to potential employers.
- Job Market Demand: Acquire in-demand skills that are highly sought after in various industries.
- Problem-Solving Acumen: Develop the ability to identify, analyze, and solve business problems using data.
- Technical Proficiency: Become proficient in industry-standard tools and technologies for data analysis.
- Confidence Boost: Gain the confidence to tackle complex data challenges and contribute meaningfully to teams.
- Networking Opportunities: Connect with instructors and fellow learners, potentially building valuable professional relationships.
- Foundation for Further Learning: Establish a strong foundation for pursuing advanced specializations in data science or machine learning.
- PROS:
- Hands-on, project-based learning ensures practical skill development.
- Focus on real-world databases and industry-standard tools like PostgreSQL and Python.
- Comprehensive curriculum designed to take beginners to a job-ready level.
- Emphasis on building a strong portfolio for career advancement.
- CONS:
- The intensive nature of a boot camp may require significant time commitment and a steep learning curve for some individuals.