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International Diploma in Data Analytics And Big Data
Thursday, 02 May 2024 06:48:07
     

The International Diploma in Data Analytics and Big Data is an immersive program designed to equip students with the skills and knowledge needed to excel in the rapidly evolving field of data analytics. Through a blend of theoretical learning and hands-on practical experience, this diploma program prepares learners to harness the power of data to drive strategic decision-making and innovation.

The core modules of the program cover a wide range of essential topics in data analytics and big data. Students begin by exploring the foundations of data science, learning about data collection, storage, and processing techniques. They then delve into statistical analysis and data visualization, acquiring the skills to interpret and communicate insights effectively.

As the program progresses, students advance to more specialized areas of study, such as machine learning and predictive analytics. In these modules, learners gain proficiency in using algorithms and models to uncover patterns and trends within large datasets. Additionally, they learn how to apply these techniques to solve real-world problems across various industries.

One of the distinguishing features of this diploma program is its focus on practical application. Throughout the course, students engage in hands-on projects and case studies that simulate real-world data analytics challenges. By working with industry-standard tools and technologies, such as Python, R, and Tableau, learners gain valuable experience that translates directly to the workplace.

Furthermore, the program emphasizes the importance of ethical considerations and data privacy in data analytics. Students explore ethical frameworks and regulatory requirements governing data usage, ensuring they can navigate complex ethical dilemmas with integrity and responsibility.

Upon completion of the International Diploma in Data Analytics and Big Data, graduates emerge with a comprehensive understanding of data analytics principles and techniques. They are well-positioned to pursue careers as data analysts, data scientists, business intelligence analysts, and other roles that require expertise in data-driven decision-making. With the demand for skilled data professionals on the rise, this diploma program offers a pathway to exciting and rewarding career opportunities in today's data-driven world.



present_to_all   PURSUE YOUR DREAMS - GAIN A RESPECTED QUALIFICATION STUDYING ONLINE

The programme aims to develop pro-active decision makers, managers and leaders for a variety of careers in business sectors in a global context.
Why choose LSPM ?
● Your qualification is recognised and accepted world over.
Experience online study like never before with our purpose built smart learning tools which gives you advantage of studying anytime and anywhere.
Flexible payment plans , pay fee in easy monthly, quarterly or yearly instalments.
Fast track mode - attain your qualification in just 6 months !
Dedicated Tutor Support via live chat.
Course content

The International Diploma in Data Analytics and Big Data offers a comprehensive curriculum designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data analytics. Through a blend of theoretical concepts and hands-on practical experience, students will develop proficiency in data analysis, visualization, and interpretation. Below are the key highlights of the program:

  1. Fundamentals of Data Analytics:

    • Introduction to data analytics principles and methodologies.
    • Understanding data types, structures, and formats.
    • Basics of data cleaning, preprocessing, and transformation.
  2. Statistical Analysis and Machine Learning:

    • Exploratory data analysis techniques.
    • Statistical inference and hypothesis testing.
    • Introduction to machine learning algorithms, including regression, classification, and clustering.
  3. Big Data Technologies:

    • Overview of big data concepts and challenges.
    • Introduction to distributed computing frameworks such as Hadoop and Spark.
    • Hands-on experience with tools for processing and analyzing large datasets.
  4. Data Visualization and Interpretation:

    • Principles of data visualization and storytelling.
    • Hands-on practice with data visualization tools such as Tableau and Power BI.
    • Communicating insights effectively through compelling visualizations.
  5. Advanced Analytics Techniques:

    • Advanced machine learning algorithms and techniques.
    • Time series analysis and forecasting.
    • Natural language processing and sentiment analysis.
  6. Data Ethics and Privacy:

    • Understanding ethical considerations in data collection and analysis.
    • Compliance with data privacy regulations such as GDPR and CCPA.
    • Best practices for ensuring data security and confidentiality.
  7. Capstone Project:

    • Culminating project integrating concepts and skills learned throughout the program.
    • Real-world data analytics challenge or research project.
    • Presentation of findings and recommendations to peers and industry experts.

The curriculum is regularly updated to reflect the latest trends and developments in the field of data analytics and big data. Students will have the opportunity to learn from industry experts and practitioners, gaining valuable insights into real-world applications and best practices. Upon completion of the program, graduates will be well-prepared to pursue rewarding careers in data analytics, business intelligence, and related fields.

❶   Course duration
The programme is available in two duration modes:
1 month
2 months
❷   Course Delivery

Online

❸   Entry Requirements
  • The program operates under an open enrollment framework, devoid of specific entry prerequisites. Individuals demonstrating a sincere interest in the subject matter are cordially invited to participate. Participants must be at least 18 years of age at the commencement of the course. OR;
❺   Assessment

The assessment is done via submission of assignment. There are no written exams.

❻   Course fee
The fee for the programme is as follows:

1 month - GBP £149


2 months - GBP £99
❼   Payment plans

1 month - GBP £149

2 months - GBP £99
❽   Accreditation

  • This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regula

❾   How to apply?

Simply follow the 2 steps given below to enrol:

(1) Fill enrolment form online at
https://www.lspm.org.uk/enrolment-v2/start.html

(2) Pay enrolment fee of GBP £15
(This can be paid online using credit or debit card)

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