Data Analyst: Professional Certificate In Data Analysis

Data Based Decision Making, Data Analysis. Data Collection, Cleaning, Statistical Analysis, Visualisation, Privacy.

What you'll learn

Business Analysis

Data Analysis

Microsoft Excel

Data Science

Data Collection and Acquisition

Data Cleaning and Preparation

Statistical Analysis

Data Interpretation and Reporting

Data Visualisation

Data Privacy and Ethics

Tools and Software for Data Analysis

Career Development and Job Market Trends

Requirements

For a better learning experience, we suggest you to use a laptop / mobile phone / pen and paper for taking notes, highlighting important points, and making summaries to reinforce your learning.

Description

Welcome to Program: Data Analyst: Professional Certificate in Data Analysis by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 215 countries and has been chosen by more than 620 000 students.Course Author:Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.In synergy between academical and business experience, Ms. Amoroso achieved high results in business career, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.Data analysis also is the process of collecting, cleaning, and organizing data to uncover patterns, insights, and trends that can help individuals and organizations make informed decisions. It involves examining raw data to find answers to specific questions, identify potential problems, or discover opportunities for improvement.   Data analysts transform raw data into actionable insights to help organisations improve operations, strategies, and customer experiences. Core skills include statistical analysis, critical thinking, data visualisation, and proficiency in tools like Excel, SQL, Python, and Tableau. Learning data analysis skills is crucial for career building in today's data-driven world, both for professional positions and managers of all levels. Here's why:   For Professionals:Increased Employability: Data analysis skills are in high demand across various industries. Professionals with these skills are more likely to secure well-paying jobs and advance in their careers.   Improved Decision-Making: Data analysis enables professionals to make informed decisions based on evidence and insights rather than relying on intuition or guesswork.   Enhanced Problem-Solving: Data analysis helps professionals identify the root causes of problems, develop effective solutions, and track the effectiveness of interventions.   Increased Efficiency and Productivity: By automating tasks and identifying areas for improvement, data analysis can help professionals work more efficiently and increase their productivity.   For Managers:Strategic Planning: Data analysis provides managers with the insights needed to develop effective strategies, set realistic goals, and track progress towards objectives.   Performance Management: Managers can use data to monitor team performance, identify areas for improvement, and provide targeted feedback to employees.   Risk Management: Data analysis can help managers identify potential risks, assess their impact, and develop mitigation strategies.   Innovation and Growth: By analyzing data on customer behavior, market trends, and competitor activities, managers can identify opportunities for innovation and growth.   Learning data analysis skills is essential for professionals and managers of all levels who want to succeed in today's data-driven world. These skills can help individuals make better decisions, solve problems more effectively, and contribute to the success of their organizations.

Overview

Section 1: Introduction

Lecture 1 Onboarding to learning process

Section 2: Data Analysis

Lecture 2 Presentation

Lecture 3 Introduction

Lecture 4 Data Collection and Acquisition

Lecture 5 Data Cleaning and Preparation

Lecture 6 Exploratory Data Analysis (EDA)

Lecture 7 Statistical Analysis

Lecture 8 Data Visualisation

Lecture 9 Data Interpretation and Reporting

Lecture 10 Data Privacy and Ethics

Lecture 11 Tools and Software for Data Analysis

Lecture 12 Building a Data Analyst Portfolio

Lecture 13 Career Development and Job Market Trends

Lecture 14 Practical exercises

Section 3: Interactive part

Lecture 15 Interactive Part

Lecture 16 Congratulations with finishing from MTF

No special requirements. A course for anyone who wants to build career in business and Data Analysis