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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Data Analysts Beginner Projects

    Posted By: BlackDove
    Data Analysts Beginner Projects

    Data Analysts Beginner Projects
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.09 GB | Duration: 99 lectures • 9h 32m


    Gain Real World Data Analyst Skills by building a data analytics portfolio

    What you'll learn
    Perform data exploration and analysis with SQL
    Write SQL Queries to explore and analyse data
    Write SQL CTE queries to extract and query data
    Write SQL temporary table queries to extract and query data
    Perform data exploration & manipulation with Pandas & Python
    Transform Data with Power BI
    Create visualizations with Tableau
    Scrape data from websites
    Perform prediction analysis
    Visualize Qualitative data
    Visualize quantitative data
    Present data using stories

    Requirements
    Basic knowledge of Excel advised
    Basic knowledge of SQL advised
    Description
    Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

    Data analysts are in high demand across all sectors, such as finance, consulting, manufacturing, pharmaceuticals, government and education.

    The ability to pay attention to detail, communicate well and be highly organised are essential skills for data analysts. They not only need to understand the data, but be able to provide insight and analysis through clear visual, written and verbal communication.

    Some responsibilities of a data analyst includes

    Developing records management processes and policies

    identify areas to increase efficiency and automation of processes

    set up and maintain automated data processes

    identify, evaluate and implement external services and tools to support data validation and cleansing

    produce and track key performance indicators

    develop and support reporting processes

    monitor and audit data quality

    liaise with internal and external clients to fully understand data content

    gather, understand and document detailed business requirements using appropriate tools and techniques

    design and carry out surveys and analyse survey data

    manipulate, analyse and interpret complex data sets relating to the employer's business

    prepare reports for internal and external audiences using business analytics reporting tools

    create data dashboards, graphs and visualisations

    provide sector and competitor benchmarking

    mine and analyse large datasets, draw valid inferences and present them successfully to management using a reporting tool

    If you’re getting ready to launch a new career as a data analyst, chances are you’ve encountered an age-old dilemma. Job listings ask for experience, but how do you get experience if you’re looking for your first data analyst job?

    This is where your portfolio comes in. The projects you include in your portfolio demonstrate your skills and experience—even if it’s not from a previous data analytics job—to hiring managers and interviewers. Populating your portfolio with the right projects can go a long way toward building confidence that you’re the right person for the job, even without previous work experience.

    As an aspiring data analyst, you’ll want to demonstrate a few key skills in your portfolio. These data analytics project ideas reflect the tasks often fundamental to many data analyst roles.

    The hands on projects covered in this course includes

    Web scraping

    While you’ll find no shortage of excellent (and free) public data sets on the internet, you might want to show prospective employers that you’re able to find and scrape your own data as well. Plus, knowing how to scrape web data means you can find and use data sets that match your interests, regardless of whether or not they’ve already been compiled.

    We will use Python and tools like Beautiful Soup to crawl the web for interesting data.

    Data cleaning

    A significant part of your role as a data analyst is cleaning data to make it ready to analyze. Data cleaning (also called data scrubbing) is the process of removing incorrect and duplicate data, managing any holes in the data, and making sure the formatting of data is consistent. We will perform some practical data cleaning .

    Exploratory data analysis (EDA)

    Data analysis is all about answering questions with data. Exploratory data analysis, or EDA for short, helps you explore what questions to ask. This could be done separate from or in conjunction with data cleaning. Either way, you’ll want to accomplish the following during these early investigations. We will undertake a data exploration project in this course.

    Data Analysis & Transformation

    We will also perform some data analysis and transformation

    Data Visualization

    Data visualization is an important aspect of data analysis. As a data analyst you should be able to present

    data in a visual way that will help businesses make important decisions.

    Who this course is for
    Beginner Data Analyst
    Beginner Data Engineers
    Beginner Data Scientist