MS
May 3, 2023
A very structured course to give basic and useful insight to the world of data analysis. From zero, one absorbs the possible levels of details and requirements to get into the world of data analysis.
MB
Nov 15, 2020
Course is really helped me understand the concept of Data Analytics. The viewer's points explained What, Why, and how Data Analytics. And the final assignment gives an exact idea about Data analysis.
By RAUSHAN K
•Sep 7, 2023
Coursera providev. The "Introduction to Data Analytics" course provides a foundational understanding of data analysis techniques. It covers key concepts, tools, and methods used in the field of data analytics. The course is suitable for beginners and offers valuable insights into data manipulation, visualization, and interpretation, making it a solid starting point for anyone interested in this field.
By Mark N
•Jan 6, 2023
As an introduction to the world of data analytics and data science, this course did the job very well. I came in with very little understanding of the industry and after taking this course I feel like I have a good idea of what knowledge and skills will be required of me to succeed in this industry and am very excited to begin my educational journey in pursuit of beginning a career in data analytics.
By MUSA M
•Sep 4, 2022
Before being referred to coursera by a friend, I have learnt on several platforms and I must say that coursera provides the best contents and interactions, from the quizes to the labs-on to the notes I'm really impressed. the learning path is so effective and efficient. I'm on the other courses in the IBM Data Analysis with Excel and R Specialization. I can't wait to finish and get my certificates
By Hugo B
•May 1, 2022
This is a great introduction to the field, and also a very good opportunitiy to figure out if this is “the field for you” bucause you get enough details about multiple aspects among the point of view of professionals, making it easy to metitate upon the subject and realize if it relates to your current or aspired capabilities as well if the whole specialization will take you toward your goals.
By Liza Z
•Aug 12, 2021
WOW! This course was incredible. It contains a lot of useful, structured and understandable information. I was able to understand the role, responsibilities of a Data Analyst, the necessary knowledge and qualities that will be required for this position. Thanks to this course I clearly understand that I want to be Data Analyst.
If you are in doubt, do not hesitate:) It was not boring at all!
By Mfon O C
•Nov 2, 2021
Excellent introduction to Data Analytics. Provides the fundamentals of data sources, file structure and the data wrangling process. It provides knowledge of the different languages and tools needed to wrangle and visualize data in a way to gain insights, enhance and improve decision making. Above all, the experienced views from data professionals is just priceless. Nice job! Coursera.
By Abhishek S S
•Jun 12, 2021
Overall the course was great except for the indepth analysis of various aspects of Analytics which are considered good for beginners. A major part of the course involved continuous back and forth analysis of the information being shared.
I'm happy to involve in this course and looking forward to seeing myself working with large data sets and show-off my Analytics and programing skills.
By Ojarikre G E
•May 12, 2021
The Introduction to Data Analytics is a great way to start learning data analysis. There were basic knowledge and tools which where introduced to help progress the course. Also, the insights from data analytics experts threw more "lights" on what to expects in the journey of being a data analyst. Thank you for the friendly user interface and easy-to-learn course materials provided!!
By Jerry Y
•Aug 15, 2023
Excellent course in general and specifically as an introduction to the field of data analytics. The course was comprehensive in its coverage across the data ecosystem, including processing tools and repositories; data gathering, cleaning, and wrangling; visualizing data; and the qualities, skills, and responsibilities of data analysts. The quality of the content is excellent.
By Ladislao C
•May 20, 2021
It offers a wide and detailed context of the data analysis area, in such a way that it offers all the necessary information for those of us who like data management, we can have a clearer perspective of the direction and professional objectives that we want to have, as well as the necessary information to place ourselves in the current technology for information management.
By Veronika S
•Apr 6, 2021
This course helped me a lot to understand more what Data analysis is about. I was a complete beginner with no previous knowledge, but now I have the overall understanding of the Data analysis process, which tools and SW are used to perform it, as well as types of Data repositories.
I would like to thank the instructors and Coursera team! Thank you, you are doing great job.
By Joseph J
•Nov 17, 2022
This couse is one of the best introduction to data analytics. I like how practical the content is. If you are thinking about becoming a data analyst, I highly recommend you this course. I am now totally convinced that data analytics is my thing. Thank you Coursera, Thank you IBM. On top of that I thank God for the existence of this profession called data analysis.
By Asmita G
•Jun 24, 2022
I am not from the field of Science or Engineering. I am from Humanities field and I wanted to learn about the data analysis to learn more about technical communication which I am specializing in. Even for the person like me, who has not spend time much with number for a long time, this course is excellent and desinged in a very simple and esay way.
Thanks!
By natrayan m
•Jul 9, 2021
Provided very detailed introduction into data analytics. You can expect someone who has finished this course to be aware of the concepts of data analytics including the ecosystem, high level understanding of the process involved in data analysis, roles and responsibilities of data analysts and career opportunities for data analysts. Good one to start with!
By Shakil A P
•Apr 13, 2021
One of the best one. Highly recommended, if you want to know the basic of Data Analysis. Prior to this I had searched on search engine to know what exactly data analysis/analytics is, the information I had received from there was not as handy as the course provided. For a youngster, want to start career in Data Analytics, should definitely try this one.
By John P S
•Dec 18, 2020
I am satisfied with the content of this introductory course. It presented in detail the different concepts and terminologies that a Data Analysis professional needs to be aware of in the step by step operations of the field. The thorough contents of the module assured me of the confidence I need in doing the tasks essential for the Data Analysis field.
By Malu F
•Sep 25, 2022
El curso da una visión general de cómo llegar a ser un analista de datos y nos proporciona information específica sobre las herramientas necesarias a aprender para iniciar nuestra carrera en el análisis de datos.
Un curso muy concreto en cuanto a conocimientos y con una asginación muy interesante, al finalizar, donde pudimos aplicar todo lo aprendido.
By Giang P
•Nov 8, 2023
The "Introduction to Data Analytics" course on Coursera is a fantastic starting point for anyone interested in data analysis. The course is well-structured, engaging, and hands-on, allowing you to apply what you learn. Real-world case studies and a supportive learning community make this course a valuable experience for beginners. Highly recommended!
By Yonglei H
•Feb 8, 2022
I like the learning content. Before joining this module, I've started yb myself to learn excel and python. However, those are more or less isolated points - I don't have the landscape of Data Analytics process. But in this one I saw it. I also recommend people who are interested in Data Analytics and yet start off - you please start from this module.
By Nghĩa N
•Sep 13, 2022
I did gain valuable insights into the data analytic field through this course. It is certainly a worthwhile journey that I am willing to take on. This course gives a complete bird's-eye view of the profession as a data analyst. You will be sure to learn whether you are cut out for this career path after completing "Introduction to Data Analytics".
By YASIR M J
•Jul 31, 2022
It's great pleasure for me to complete such an informative and knowledgeable course. I learned very basic and intermediate issues regarding data analysis. All the course material was very well organized and delivered in sequence. I am happy to learn this course. Thanks to all instructors and their support staff for helping me to learn this course.
By Alpesh G
•May 25, 2021
This is an introductory course offered by IBM and Coursera to start your career in Data analytics. This course gives an understanding of the career opportunities and future scope of data analytics in all spectrum of industries. The viewpoint section in each module gives a better understanding of what the actual industry expects from data analysts.
By Anav M
•Sep 5, 2021
It was a very methodical and well organised course. My only compaint is that the lecture videos, even though short and information - packed, were extremely fast paced. So, I had to keep pausing the videos to turly grasp. However, that could be just me. Overall I am very satisfied with this course so I will be giving it 5 stars as I learnt a lot.
By Jennifer G
•May 23, 2024
This is a fantastic introduction to data analytics. It provided a high level overview of the aspects, processes, and needed skills. I love the data analyst interviews that provided a real life perspective of this career. I also appreciated hearing the examples about which programs and tools are used for the different aspects of this role.
By Alex C
•Aug 8, 2022
Muy útil como introducción al campo del análisis de datos. Explicación de los conceptos clave, diferenciación entre los distintos roles y especialidades en el análisis de datos y detalles sobre los pasos para el desarrollo profesional en este ámbito.
Además, ejemplos prácticos de las herramientas más utizadas en cada una de las funciones.