| | Daniel Garcia Rodriguez | I'm currently finishing up the Data Analysis track (roughly 6 months to complete) as an Alpha tester of which I have found to be a highly positive experience. The program is innovative in its bi-weekly sprint-like teaching approach in which students have access to: a supportive community (professional tutor, 24/7 online support, community managers, peers etc.), interactive lessons, insightful webinars (which can be tailored to student's needs!!), job support, and challenging self-directed projects that are reviewed by professionals in the relevant field.
As a newbie in the tech field I was lost with the number of resources available. My background is in psychology but I wanted to learn how to code to augment my research skills as I aspire to be a data analyst in the tech or nonprofit sector. Being a new field to me I felt really lost about what the whole data analysis process looks and among many other questions. I decided to take many courses on other platforms (ie. Coursera, Udacity, DataQuest) but TBH most of them only taught me the basics and didn't get me an in-depth understanding of the field nor advanced my data analysis skills. Thankfully, I came across the Practicum by Yandex Data Analysis program of which has met and surpassed that need! The courses are tailored to gradually develop the needed skills in data analysis (ie. systems thinking, python, asking great questions etc.) as well as to help you get a more nuanced understanding of what the field will entail (webinar, projects, etc.).
All that to say that I'm very impressed with and happy to be apart of Practicum's Data Analysis program! I have no question to believe that the other programs that they teach (web development, data science etc.) are of the same, if not greater quality. Speaking from my personal experience, if you're truly looking to develop the necessary skills and understanding to become an effective data analyst then this is the program for you. |
