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Advanced Program in Data Analytics

Universidad Católica de Murcia (UCAM)

An Advanced Program in Data Analytics provides the breadth and depth of experiences to enable you to succeed in a data-driven business world.

Combining big data analytics, statistical learning and data visualization with real business case studies, this 6-month program will help you apply the latest analytic techniques in an expanding job market.

Program Overview

Data Analytics certification programs are ideal for both entry-level and experienced professionals. Ideal for individuals who want to improve processes & systems in their workplace through data analysis or who want to take up promising career paths by becoming an expert in analytics. Techniques can pursue in this course, which does not require prior programming knowledge and is not based on memorization of formulas or facts. The focus is to develop a practice-based knowledge of data analytics relevant across disciplines. It covers job-critical topics like data analysis, Power BI, data visualization, and regression techniques through supervised in-depth learning with live sessions by leading practitioners and industry experts.

Training Key Features

  • Flexible

    9 Months

  • Blended Learning

    Live classroom and Live online class.

  • +971 6 5310 843

    (09:00am - 17:30pm)

Partners of this Programme

Acacia University Professional Development has initiated various programs in partnership with Airtics Education. The wide range of programs aims to upskill millions of students in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.

Why this Course ?

1 Course

Choosing a course of study that you have a strong inclination to pursue a UK qualifying degree or for a skilled set is a good start in pursuing your educational goals. At ECX, you get a triple power MBA degree.

2 Place of Study

In order to pursue their dream education, the key factor is that the students need ease in accessing the centre and at ECX we come to your nearest city to overcome any challenges faced in commutation or travelling abroad without compromising on the quality of education.

3 Affordable Fee

Quality education abroad is highly expensive. At ECX you get the benefit to enroll for course that is affordable with flexible payment options.

4 Academic Support

You get enrolled to a UK degree, with blended teaching methodology and 360-degree academic assistance through our faculties with international standards for attaining a business management degree.

5 Career Opportunities

You become an industry-ready business professional on completion of the degree as it brings in more of a realistic pursuit, thus transforming you with the better skill sets to approach the career market further.

Course Resources

For more detailed information about the course, please click on the links below.

Program Details

Eligibility

Students seeking admission to the course may have to fulfill the following criteria/requirements.

  • Bachelor’s Degree from a recognized University
  • Proficiency in the English language

Learning Path

Learning Outcomes

L01. Learning python structure and how to write programs in it.

L02.Basic concepts of Python, its syntax, functions, and conditional statements.

L03.Acquire the prerequisite Python skills to move into specific branches – Machine Learning, and Data Science.

L04.Understand packages to enable them to write scripts for data manipulation and analysis.

Content Covered

Python basics

  • Variable and data types
  • Conditional statements
  • Loops
  • Functions

Python Libraries

  • Numpy
  • Pandas
  • Matplotlib

 

Learning Outcomes

L01-Introduce statistical tools for working with datasets

L02-Learn the essentials of probability and statistics for data analysis & visualization.

L03-Know how to import and clean data using libraries like NumPy and Pandas for data exploration and analysis.

L04-Learning to fix incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset.

Content Covered

Linear algebra

Probability

Statistics

Data Cleaning

Data Pre-processing

  • Statistical tools
  • CSV
  • Excel

 

Learning Outcomes

L01. Acquire a fundamental understanding of the analytical techniques and software tools necessary to effectively generate useful information from structured and unstructured datasets of any size

CHARTS

L02. Gain experience in using the tools and techniques of data science to structure and complete projects focused on obtaining actionable insights from complex data

L03. Dive deeply into a chosen area of practice to fully prepare to use the knowledge gained in the program to add significant value in a professional setting

L04. Be able to utilize knowledge and skills to continue learning and adapting to new data science technologies

Content Covered

  • Data visualization introduction
  • Types of charts
  • SQL and Databases
  • SQL commands

 

Learning Outcomes

L01. Introduction to Exploratory Data Analysis and Visualization

L02. Learn how to analyse exploratory data with the most suitable techniques.

L03. Analyse and map the underlying structures of the data.

L04. Analyze data for anomalies and missing information

L05. Communicate and analyse data visually using visualization techniques.

Content Covered

  • Pattern Discovery
  • Data acquisition
  • Data preprocessing techniques
  • Dimensionality Reduction
  • Linear and Non-Linear Models
  • Clustering and Classification
  • Graphical Visualization

 

Course Team