This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making. By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and their applications across different scenarios • Identify data gaps and articulate the strengths and weaknesses of collected data You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally you have already completed course 1: Marketing Analytics Foundation in this program.
SG
Best module to understand the Fundamentals of Data Analysis and much more. I love the way of teaching and doing exercises
KT
I recently completed the "Introduction to Data Analytics" course, and I found it to be quite informative and engaging
SA
The course is a great stepping stone for subsequent courses in Data Analytics. The OSEMN framework is promising to be applicable in both industrial and academic research. Thank you
UU
The course is made easy to understand with practice exercises and Anke made it so fascinating.
SM
The course is very detailed and well explained and I.was motivated.j am already usingthe new skills in my current position.
KJ
A great intro into Data Analytics for anyone who's looking to making a career change. It lays the foundation of what it is and what's to come in this career.
MS
To be honest, I recommended this course if you start your journey with data analytics within a few days.
DT
It is what it says it is and it is good at keeping me engaged and checks to make sure I actually know what's going on.
MA
I really enjoyed learning through the course material. Thanks to the trainers for being very clear with their explanations.
TG
The instructor was awesome. She explained everything well enough, it was easy to follow along.
AR
This course is good for the beginners who knows nothing about this field. They can start this course
SA
Focuses almost entirely on data analytics strategy, rather than tactics. Great resource.
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The course is very informative. The step-by-step introduction to the OSEMN framework was awesome. The examples used and the visual presentation of the lecture videos were great.
Best module to understand the Fundamentals of Data Analysis and much more. I love the way of teaching and doing exercises
Right now, this is the best course so far. It is well organized, succinct, yet rich with values especially for a beginner like me. Kudos to Meta for developing this amazing course. The course instructor did justice to the delivery of the topics in a clear and understanding manner. I definitely recommend for anyone who wants to step into the data world.
Peer assessment should not be made mandatory
Ii a great opportunity for me to complete this course successfully
Very informative and well laid out for easy learning.
This course was an excellent introduction to data analytics and generative AI. The content was well-structured and easy to follow, with clear explanations of each stage of the OSEMN framework. I particularly enjoyed how the course linked data analysis with real-world applications, like predictive modeling and data quality improvement using Generative AI. The videos and readings were engaging and helped reinforce the concepts with practical examples. I found the case studies and hands-on activities especially valuable as they gave me the opportunity to apply what I learned in a more interactive way. The inclusion of Generative AI in the course was a highlight, showing how it can be used to enhance data analysis processes, from feature engineering to data generation. Overall, I feel more confident in my ability to use data analytics and generative AI tools in my work. This course provided me with the foundational knowledge I need to continue exploring these areas. I would definitely recommend it to anyone looking to deepen their understanding of data analytics and its intersection with AI.
The course is very good. However, there is a problem that occurs in most courses with peer assessment: there is a chain of cheating where people upload any rubbish as an assessment and ask in the forum for their work to be corrected, and they give 100% of the correction as an answer. Some of my work has been corrected within minutes, proving that the person didn't read it and just applied the points. This undermines the credibility of Coursera courses.
The course is a great stepping stone for subsequent courses in Data Analytics. The OSEMN framework is promising to be applicable in both industrial and academic research. Thank you
The course is made easy to understand with practice exercises and Anke made it so fascinating.
I was searching for a course that would enable me to advance and enhance my current level of expertise as an experienced data analyst. I was pleasantly surprised with the 'Introduction to Data Analytics' course on Coursera. It gave pupils a strong foundation in important ideas including exploration, data purification, and fundamental statistical analysis. I was able to put what I had learnt to work in the real world because to the practical exercises and case studies. The professors did an excellent job demythologizing difficult ideas so that students of all skill levels could understand them. All things considered, this course is an excellent resource and refresher for anybody who is committed to honing their data analytics abilities.
This course is a great introduction to data analysis using the OSEMN framework. It clearly explains each stage—from collecting and cleaning data to exploring trends, building models, and interpreting results. I especially liked the focus on data storytelling, which helped me understand how to turn insights into clear, actionable recommendations. The quizzes were useful for reinforcing key concepts, and the examples made the content practical and relevant. Overall, it’s a solid course for beginners or anyone looking to sharpen their data analysis and presentation skills
I am very satisfied with this course. In my opinion, it is exceptionally well-designed. The course materials are structured in a very organized manner, allowing me, who has no background in this field, to gradually understand the concepts without feeling overwhelmed. The instructor is also very engaging, and their delivery kept me highly motivated to complete the course. This course also effectively highlights key learnings and reinforces them with clearly illustrated examples.
This course provided a clear and structured approach to data analysis. I found the OSEMN framework especially helpful in breaking down the process into manageable steps, making it easier to approach complex datasets. The hands-on exercises helped solidify my understanding, and I now feel more confident in applying these techniques to real-world problems. Highly recommended!
This course was a great learning experience! I found the lessons on data visualization and predictive modeling especially useful. The practical approach made complex topics easier to understand. I’d love more real-world case studies to apply what I’ve learned. Thanks for a great course!
Coursera is a fantastic platform for learning! The courses are well-structured, the instructors are knowledgeable, and the learning resources are extremely helpful. I highly recommend Coursera to anyone looking to build new skills and advance their career.
This course taught me a lot about how to approach data analysis and the important key steps as well preparations that goes into a data analysis project. The instructor was very knowledgeable and presented the course material exceptionally well.
This was a very easy to learn, understand and to implement course which will surely for sure add value to my life. essential data analytics skills which I learned with a practical assessment based approach was very efficient.
"I would like to express my gratitude for this course. It is concise, precise, and formatted in a way that makes the material easy to understand. The hands-on approach greatly enhances the learning experience."
I'm a beginner in Data Analytics, and in fact, English is not my first language, however, I was able to understand and learn a lot from this course, it was just amazing! Can't wait to start the second phase!