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Dataquest has been used to provide users with a practical understanding of data science skills and techniques. Many users have leveraged …
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What is Dataquest?
Beyond video lectures, Dataquest offers challenges and projects to help learners gain skills.
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What is Dataquest?
Beyond video lectures, Dataquest offers challenges and projects to help learners gain skills.
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What is Dataquest?
Dataquest Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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Dataquest has been used to provide users with a practical understanding of data science skills and techniques. Many users have leveraged the platform's straightforward courses to begin their journey towards becoming data scientists or analysts. The platform's step-by-step approach helps learners build practical skills in areas like Python, SQL, and machine learning.
Users reported that Dataquest helped them solve business problems and become more employable by gaining practical knowledge. By learning Python in workflows for data wrangling, users were able to perform exploratory analytics and acquire all the necessary skills needed to solve problems using data science. Additionally, exercises like exploring the stock market and predicting outcomes have helped users build the skillset needed to pursue careers using predictive analytics to optimize and drive decision making.
Furthermore, Dataquest has also been used by learners to pivot their career into the tech field by gaining practical knowledge of Python and SQL. Users have reported success in finding jobs as data analysts after they learned these critical skills. In summary, Dataquest's courses have helped users learn practical data analysis skills that enable them to make better decisions and solve business problems in a variety of industries such as marketing, big data management, statistics education, etc.
Well-designed platform: The majority of users found Dataquest to be a well-designed environment for learning data science, striking an educational sweet spot. Reviewers appreciated the in-browser approach to expanding their skill set, working with data, and building projects at their own pace. They also praised the fact that consoles were directly inserted, each section was easily navigable, and the audio feedback added to the overall experience.
Broad curriculum: Many reviewers appreciated the breadth of knowledge that Dataquest provided, which helped them fill gaps in their understanding of data science. The curriculum includes Linear Algebra, Calculus, Command Line, Git, Pandas, Matplotlib and Machine Learning - all crucial skills for a data scientist. Users loved that they could learn at their own pace through pre-made paths while receiving structured guidance on how to improve.
Supportive community: A significant number of reviewers found that Dataquest offers a great support system through its community forum and chat feature. Users appreciated the opportunity to help others as they became more knowledgeable from their experiences using Dataquest themselves. Additionally, progress tracking kept track of hours and completion motivating users during their learning journey.
Slow IDE: Some users have experienced a slow IDE, causing difficulty in completing exercises. Insufficient explanations: Several users have expressed that the explanations for some topics were too brief, and suggested that topics like statistics and linear algebra needed more information. Non-linear progression: Users felt that the missions didn't build on each other as much as they would have liked, making the progression less linear.