ACS RPL Sample for Data Analyst

Professional ACS Approved RPL Sample for Data Analyst

Explore a high-quality ACS RPL sample for Data Analysts, crafted to align with ACS requirements and effectively demonstrate your ICT competencies for a successful Australian migration outcome.

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    ACS Approved RPL Sample for Data Analysts

    Data Analyst

    Expert ICT writers created this ACS RPL Report Sample for Data Analyst. The report has been successfully evaluated and is formatted to satisfy the requirements of the Australian Computer Society (ACS). Please only use this sample as a guide. You will have access to the full RPL report for a Data Analyst after downloading this sample. Key Areas of Knowledge and Project Report Forms are the two primary elements of the ACS RPL Report for Data Analyst.

    Key areas of knowledge

    The candidate must specify how and where they learned the material, as well as how their experience and credentials align with the chosen areas of expertise.

    ACS RPL Report Sample for Data Analyst

    You can learn how to format your report to satisfy the standards of the Australian Computer Society (ACS) by using this ACS RPL Report Sample for Data Analyst.

    ACS RPL Report Sample for Data Analyst – 2

    Yes, we provide data analysts with a professionally written ACS RPL Report Sample that highlights practical projects, abilities, and duties that meet ACS standards. Candidates can learn from our sample how to properly format their reports for a successful skills evaluation.

    Skill Level

    Level 1 or Equivalent

    Specializations

    Business Intelligence Analyst, Data Visualisation

    Skills Assessment Authority

    ACS (Australian Computer Society)

    On the Occupation Lists:

    Medium and Long-term Strategic Skills List (MLTSSL):
    Short-term Skilled Occupation List (STSOL):
    Regional Occupation List (ROL):

    Not on the Occupation Lists:

    State and Territory Nominated Occupation Lists:

    Closely Related Core Data Units

    Data Collection and Management
    Data Cleaning and Preparation
    Data Analysis and Statistics
    Data Visualization
    Database Design and Management
    Business Intelligence (BI)
    Predictive Analytics
    Programming for Data Analysis

    Additional Closely Related Core Data Units

    Data Warehousing
    ETL (Extract, Transform, Load) Processes
    Data Mining
    Advanced Statistical Methods
    Data Governance and Quality Assurance
    Geospatial Analysis
    Machine Learning Fundamentals
    Big Data Technologies

    Unit Group:2241 Data Analyst

    To help organizations make decisions, a data analyst’s job is crucial in collecting, evaluating, and interpreting data. To create reports and dashboards that clearly and actionably convey information, they employ data visualisation technologies.

    Skill Level

    A bachelor’s degree or more in competence is required for the majority of jobs in this unit group. At least five years of relevant experience and/or a comparable vendor certification may be accepted in lieu of a formal certificate. In certain situations, relevant experience and/or on-the-job training may be necessary in addition to the recognized qualification (ANZSCO Skill Level 1).

    English Requirement

    An IELTS score of at least 6 (L, R, W), 7 in speaking, and 7 overall
    PTE Academic with at least 50 points in every category.
    The minimum scores for the TOEFL iBT are 12 for listening, 13 for reading, 21 for writing, and 18 for speaking.
    A minimum score of 169 in each section is required for Cambridge English (CAE).

    Occupations in this Group

    224114 Data Analyst
    224115 Data Scientist

    Tasks to Perform

    Establishing the hardware and software needed to solve issues
    Answering questions on hardware and software issues
    Modifying current applications to satisfy user needs
    Downloading and installing the relevant software
    Making sure that applications and equipment are used efficiently
    Setting up computer networks

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