Umuc data analytics reddit. I'm doing a bit of research before making a decision.
Umuc data analytics reddit. html>xroj
Our state-of-the-art program is designed with input from leading employers and can help you gain the hands-on experience, skills, and knowledge that today’s employers need. I found coursera to be very good, you can audit courses for free, im doing the google data analytics course, while learing sql and excel from websites like w3schools and later i will do a sql, excel, python and tableau courses, you can check out some videos on youtube about data analytics career roadmaps to check out the best courses and Tons of people have data analyst positions that aren't actually called data analysts. Tons of people have data analyst positions that aren't actually called data analysts. Earn an online Master of Science in data analytics (MSDA) in as few as 24 months at University of Maryland Global Campus. I switched from health coaching over to data analytics. I would love for Big4 auditors to actually be good at data analytics. you could find it in different udacity nanodegree - ba analyst nanodegree. Everything else has just been lots of writing unfortunately. I was discussing the topic with my father, and he broached the idea of either an MBA or a degree in data analytics. From my understanding that degree is focused on workers in the industry with an existing bachelors degree and who want to get a graduate degree that will get them away from being a simple business analyst and more into the hot field of data analytics and science which are good paying job fields right now. I'm now 2/3 of the way through the MS Data Analytics program. This is a place to discuss and post about data analysis. Also for transparency, I did know a few people at this company who I had worked with in my first job who could vouch for me, but did have to pass a technical interview. The data analytics major has 4 specializations: computational, biomedical, business, and social science. That is a great point and I hadn't considered that! I myself have a Bachelors in Business Analytics and I was successful at finding a job, so it is worth considering a data-centric degree. Whether you are a current student, staff member, alumnus, or simply interested in the university, this subreddit is for you. Hi All, Specifically wondering about: -program difficulty -recent program changes -transfer courses: SDC, udemy, etc. Many of our faculty members are active or former professionals in industry, government, and non The online undergraduate certificate in data analytics has competitively priced tuition rates, which are posted at the top of this page. The payback calculation is made MONTHLY, For data analytics it’s $95/month for 60 months . I have been accepted to the MS program in Data Analytics at UMUC. We would like to show you a description here but the site won’t allow us. I know that when bills and responsibilities are staring at your face, we tend to grab on the first job we could get our hands on, but I think for you, at some point soon, you need to set your mind up and focus your energy and your goal to landing a job that will lead you to a career that you really want to do. We have E&Y testing their new data analytics package on us this year and they are finding the stupidest entries to test. It helped me achieve a significant pay bump by switching jobs while I was enrolled and now that I’m done, I’m being considered for jobs that will come with another big pay bump. Members Online Data analysis starts with a problem or question. I have Graduation in Computer Science with Majors in Software Engineering and MBA in Finance. 10 votes, 10 comments. I also have experience with JAVA. Took 2 Udemy courses, the google data analytics course on coursera and did my own projects following some ideas from Alex the Analyst on YouTube and landed my first data job within a year. Fivetran / Stitch for data ingestion Snowflake / BigQuery for data warehouse git for code management dbt for transforming data Looker / Mode for data visualization These are the tools that leading data teams are using nowadays (the dbt Slack channel is a great resource/community as well) It’s a crazy idea branding matters or gmu is bad. Hello, I just moved into the offer stages at Deloitte for a Data Scientist position with their Analytics and Cognitive division. " CUSTOMIZE your resume to the position. Data engineering salaries are through the rough right now. Is it late to declare the 2022 Autumn program in this April? Thank you very much. Members Online Thinking about springboard data analytics bootcamp. 5 years, and am now in a data analytics/data science role at an agency specialising in web analytics/e-commerce data. Sometimes you might start working with a set of data with one assumption but once you start working with the data, using visualization tools, pivot tables and charts, the data will show you a different conclusion. healthcare system and the skills needed for healthcare organizational management. this nanodegree dont teach it. Try to see if you like them, you can take these courses without any prerequisites. Thomas University, and I've been working as a Data Engineer at Apple. The business side of analytics is a far more complex landscape due to specific nuances that occur organically throughout a company’s lifespan. HTH, Data Analytics Ireland This is a place to discuss and post about data analysis. That being said, in a data driven organization with high data culture and learning it can be great. All… Business Intelligence is the process of utilizing organizational data, technology, analytics, and the knowledge of subject matter experts to create data-driven decisions via dashboards, reports, alerts, and ad-hoc analysis. Members Online Is application of Applied Data Analytics part-time program competitive? Now I am studying the prerequisite SQL course of this program, which will be ended at the end of March. Highly recommend the Google Data Analytics and Advanced Data Analytics certificates on Coursera. It will teach you the basics to get you an entry level position in data science/analytics (or mid level if you already have real world experience). The analytics curriculum focuses on data mining, data warehousing, data security, and the interpretation of large datasets. So, to answer your question: No, I'm not worried aboutAI taking over data analytics jobs. I'm wondering if this would be a good idea, because the program will obviously include 5 graduate level (700 level classes) on data analytics, databases and information systems etc. (This is an EXPENSIVE and heavily used application. Get data from various platforms and sources and ETL them. You also use SAS, with a free university provided account. A space for data science professionals to engage in discussions and debates on the subject of data science. The Subreddit for the Georgia Tech Online Master's in Analytics (OMSA) program caters for aspiring applicants and those taking the edX MicroMasters programme. I also used your exact prompt and nothing else. Let’s start with some high-level tips for breaking into data analytics. I have taken the BI and data reporting one and I found it a total waste of my money and many of my cohort has also regretted it. I spent some time learning the difference between the two and which skills I need to acquire to become a data analyst (with the plan to ultimately progress to more advanced skills for data science), only to look at job descriptions to see what they’re asking for and finding the lines being very blurred. I studied applied stats in undergrad and have a MS in analytics from Villanova and have a great job as a predictive modeler for a finance company. Currently I'm working as data quality consultant in a m I'm planning on enrolling in the UNC Data Analytics Bootcamp program. Very solid foundations. If that's what you want to do then getting out of the military and going to a good university is your best bet. It comes down to your skills personality and goals there will be lots of career fairs and interview opportunities to get jobs at nice companies. I worked a long time doing a combination of data management and data analysis, but the technical depth there was limited. When considering program length, it is important to know that UMGC’s data analytics degree can be completed entirely online, in as few as 24 I'd probably explore some free/paid courses on Data Analytics, but I'd first understand what kind of data analyst roles you are imagining. To advance in any way, I would need a CS/Analytics/Webdev degree - my bachelors was in History. There is no doubt that the overall material can be rather ambiguous and some instructors are 'absent', however, majority of my instructors were some of the best professionals who helped mold me to be Hi everyone, I recently graduated from college with a bachelors in Economics and am currently struggling to find a job. 7)"SQL for Data Science: A Beginner's Guide" by Jay Alammar We would like to show you a description here but the site won’t allow us. I actually transferred from a data science program at another school to SNHU's data analytics program. Maryland residents pay the low in-state rate, and military servicemembers and their spouses and dependent children pay the reduced military tuition rate. I broke into data analytics without a background in computer science or data. However, it doesn't seem to have more rugged courses such as UMUC or Western Governors' programs. I understand via reviews and people I work with that one person can only learn so much in that short of a time period. Have you considered python? A beneficial language to have and in demand. How much of a disadvantage will I be at if I try to go right for the MS program with minimal development and analytics experience? Would a bachelor's program be a better alternative? Current student here. Have stories prepared in STAR format for this past experience so you can speak of it in your interviews. Data Entry is not even remotely anywhere close or similar to Data Analytics. I was wondering, what would you recommend? I’m looking to get a job that has better potential for advancement, better salary, basically better everything. From my experience, a lot of data analyst positions near me require previous experience or education in these other fields. I'm currently taking DAT-475 which is the last course in the Data Analytics program. Making this post via mobile, so will try to make this look pretty and will reformat this when I get to an actual pc later. beginner data analyst should know excel and sql. There is no doubt that the overall material can be rather ambiguous and some instructors are 'absent', however, majority of my instructors were some of the best professionals who helped mold me to be I think there's potential for apps leveraging generative AI to replace some of the manual, rote tasks in data analytics today (e. outside of sales, data analytics will also help streamline process by identifying waste, improving accuracy, and automating steps--reducing cost and increasing margin. Main difference is coding and technologies. I'm seeing good, but mixed reviews on not necessarily the course itself but Careerfoundry Welcome to the Data Analysis Careers subreddit, a para-community of r/dataanalysis for all of your career-entry discussion! We’ve received feedback and have noticed that the monthly career-entry megathreads did not get the attention that poster’s desired and the goal of this community is to help facilitate the needs of those just starting out on their careers. Learn how to process and analyze healthcare data and apply those insights to healthcare decision-making. edu if we look at it, data analytics identifies trends in & insight to human behavior. Data analytics is flatly more employable, and Data Science grads are finding themselves in this a lot of the time anyway. Coping with large volumes of data (> 10Bn records per month). Everyone loved it, even clinical middle management who would be the direct supervisors of the nurses and hospital staff who would be implementing my proposed solution. I have no prior analytics experience. - Do not spam. The student taking this 120-credit undergrad program can gain hands-on experience with frequently used analytical tools and methods, manage and manipulate data, create data visualizations, build predictive models using different machine learning techniques, apply artificial intelligence (AI) and natural language processing techniques to gain . Interesting. Hi! I'm planning to immigrate to Canada as a student and take this course on SAIT. This Healthcare -> Data Analyst is actually a pretty good route. I am looking for any feedback for the data analytics masters program: how are the professors/ learning resources? I just graduated with a Psych and Math degree. Often your work is never utilized or used. I'd also love to take courses such as (Machine learning with big data, Business Intelligence & Analytics, and Cognitive Computing for Smart Service Systems) Earn an online data analytics or data science degree or certificate at UMGC. Not sure about that specific school or degree program but doing an MS in data analytics, computer science, or statistics is the way to go. Oct 25, 2023 · 1. The University of Maryland Global Campus (UMGC) offers an online Master of Science in Data Analytics degree program that targets the IT tools and computer technologies used to support tactical and strategic decision-making in the business world. Apply for analyst/data analyst or junior data analyst type roles. lots of famous people got their masters at gmu. Then I took stats 2 and used R, but it wasn't too learn R just used it for the math part. It's been a huge waste of time for us (and them!) and we'll be complaining quite a bit if they try to bill us for any hours related to it. I'm doing a bit of research before making a decision. NCSU is one of the best. It's one of the reasons I've double I spent 2021 working on transfer courses, and I started the BSDMDA in Feb 2022 with about 70% of my credits transferred in, graduating in Jun 2022. That title includes people who really use Excel to people who use Python/R and anywhere in between. so if someone begins his journey, that wouldnt the course i recommend on. I explained in my goals statement why I decided to change and my passion for data. CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. Something to consider - developers and those with data science/engineering backgrounds are unfortunately seen as "above" data/business analysts and data analysts are saturating the market (just my take). However, I am very interested in working in Data Analytics but I don't have much, if any experience with it other than a few statistics classes and I am currently taking an Intro to Python class. Edit to add that incoherence in data analytics/data science majors is pretty common still and that isn't unique to SNHU - it's a newish major for most universities because it's new as a mainstream "sexy" field and they're still trying to get a grip on it. The normal strategy of "take the pre-assessment, then use materials as needed" was absolutely correct here. Rules: - Comments should remain civil and courteous. The CPA background is useful as it helps you understand the business purpose of the data, but it’s still a large GAAP between Audit/Accounting vs big data analytics. I also added about how my research during undergrad used a lot of data. Hi! So I've been looking to do a career change, and saw that Careerfoundry is doing an online course on Data Analytics. I am also taking the google analytics data course, which I hope can push my thinking to be more analytical, like what processes will allow me to derive a conclusion from a data set, how is this data relevant to solving a specific problem within a business, what created the problem, what will indicate success, when the issue is resolved I think it also depends on what you want out of analytics for a career right off the bat (can’t speak for much outside of data bc I’m only a stats major w relevant programming/cs classes). Take online courses and learn about data management, data modeling, and more. Both online and cheap. The payment is due. ). The only data programming I've done so far though is dad-220 and we learned SQL. I'm working in e-commerce as a product manager and been using google analytics and data studio for a couple of years now. e. i did too the DAND - i liked to read your review! but i have some remarks about it: you came from the finance world, so you already knew excel and maybe sql. Better spend the money with the 16k on a way better program. The online certificate program in health information management and data analytics at University of Maryland Global Campus is designed to help equip you with knowledge of the U. emphasis Oct 25, 2023 · 1. - Do not post personal information. Apr 5, 2024 · UMGC, formerly UMUC, or University of Maryland Global Campus is a great institution for those adults who are willing and able to self-learn. More and more positions started to ask SQL as a requirement lately. Then, you will need to gather data that will help answer the question. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not found in the first party app. Like I said, you could go straight into a data analyst position from a CS background by filling in the gaps of your knowledge (this will def make you Apr 5, 2024 · UMGC, formerly UMUC, or University of Maryland Global Campus is a great institution for those adults who are willing and able to self-learn. While it's true that a lot of job postings ask for a Computer Science degree, employers are also recognizing the importance of data skills, and many are seeking Dedicated to web analytics, data and business analytics. Often you have to redo things when there are not clear directions. I'd expect them to know how to extract relevant data, to shape it, and to know how to tell compelling stories with that data - with a big emphasis on visualisation. If you completed a bachelor's degree in data science at UMGC within the last three years, an accelerated pathway between UMGC undergraduate and graduate programs allows you to reduce your total coursework for the master’s degree in data analytics up to 6 credits (two courses). g. Ensuring that I am performing the right calculations on the right data (this is considerably more difficult than it sounds with complex, real-world data) Working out the relationship between different data sets and tables. According to research by nngroup, the top skill ux designers wanted was Data analytics/analysis I understand that as designers we need data to make informed decisions but when you say data analytics, it's a broad field. On the subreddit r/dataanaalysis, one Redditor asks how to help their wife land a role in data analytics. - No facebook or social media links. I have Stats 2 next term - THANK YOU! I'm gonna see if I can switch into his section. Depending on which of those sounds interesting to you, there are similar majors that could potentially get you a data analytics job without the actual major, although the best preparation come from the major itself. I’m haven’t taken it but I have my BS is information science with UNT. Built a predictive model, carefully thought about how to operationalize it, calculated the potential ROI, and presented my findings to the internal data and analytics organization. However, a degree in Data Analytics provides specialized skills such as statistical analysis, data management, and data visualization, which are directly relevant to data-centric roles. I'm seeing good, but mixed reviews on not necessarily the course itself but Careerfoundry Current student here. There is a lot of data analysis work that needs to be done in healthcare so having domain knowledge can be important. Won't pay much, but it's a foot in the door. It's very challenging. I see it as a partner that makes me more effective, efficient, and valuable in my role. to I have a BA in International Relations. Then I will declare the program. I did the MS-BA program (the Master’s version of Business Data Analytics), and let me give you an objective version of my experiences with BA at ASU Pros: • Fundamentals - you learn the fundamentals of machine learning, SQL, exploratory data analysis, and statistics I did a masters in data science and for me it was probably the best decision I’ve made for my career. Courses such as Ethical Hacking, Disaster recovery, planning & prevention, Cyberwarfare. Once you have the data, then you can start diving into the data. The Master of Science in data analytics program offered by University of Maryland Global Campus is meticulously designed to assist students in cultivating expertise in emerging domains such as AI, data mining, and data management. If you have this experience, put it on your resume / LinkedIn and don’t be shy in explaining it in interviews if needed. when you are earning over 40,000/year (but like I said, broken down MONTHLY, the months you earn more then 3,333. Take a SQL course so you can let potential employers know that you know it. Before you decide to transfer, I suggest you to take DATA 200: Data Literacy in Excel and IFSM 330: Business inteligente and data analytics in SQL. Complete: D204 - The Data Analytics Journey Started out my MSDA term yesterday, and knocked out D204 before the end of the night. Senior Data engineers with 5 YOE being offered $250k at FAANG. If you are interested in strictly designing models for larger solutions, data science is your choice. Instead of searching for "data Analyst" search for "SQL Tableau Healthcare". Just look on LinkedIn. . I do not have a frame of reference for comparison to other degrees offered, but I can whole heartedly say that this degree program by itself will not properly prepare you for a job in data analytics. Aug 14, 2023 · Learn data analytics at UMGC. Graduate student membership is open to students pursuing a master's degree in cloud computing systems, cyber operations, cybersecurity management and policy, cybersecurity technology, data analytics, or digital forensics and cyber investigation; a master's degree in information technology with a concentration in database systems technology The program uses r heavily, in the both the Data Mining and Predictive Analytics courses (and maybe the Big Data Analytics course, which I haven't taken yet. Lately, as the possibility of graduating into a recession looms over my head, I talked to my counselor about the MS in Data Analytics. They need data engineers. One Exam Readiness course practice question confused me the day before the exam. Worked at that consultancy for 2. 100% job placement. I could have easily caved for fear I was almost done with Accounting but I couldn't see myself working in Accounting and being happy. I learned VBA, SQL, powerbi, basic python, and RPA tools (UIpath) to pivot. Please follow the guidelines of the community before posting and commenting. General tips: Reddit data advice. I wanted to see if anybody knew someone who has completed the course and if they felt it was as beneficial as they expected it would be/or not. Gain hands-on expertise with programming languages such as SQL and Python, along with proficiency in software applications like Tableau and SAS. My former company employed HUNDREDS of data analysts, but maybe 4 had the actual name "data analyst. I've seen the good with the bad. I honestly learned things that I use at my data science internship. Keep in mind though that as a certification, it doesn't really carry any weight with employers, relative to getting a degree. Georgia Tech also has a Master of Analytics that is suited for a data scientist, and Texas has a Master of Data Science. Thinking of doing some Google certs either in data analytics or UX design. Scope creep is real. I have never worked as a data analyst and I still got it. You’ll hear a lot about domain knowledge and how it can trump a lot of technical skills when it comes to doing data analytics and data science. It is a mile wide and an inch deep in terms of what it covers. I enjoy it for the most part. Working for startups or companies that will allow you to learn will always be a plus. One tactic to work your way into data analytics at this stage is try getting a mentorship with a data analyst, and work in some projects involving SQL, and Data viz like Tableau/PowerBI. Have any of you guys taken that program before? If so, what do you think of it? Does the program offer good quality education and marketable to the job market? How good of an education is it compared to other schools? thanks, badugib Jan 6, 2022 · Currently halfway through the UMGC Data Analytics Graduate ProgramThe pros and cons as I see it_____ I'm currently 7 years into ID work, right now working as a Sr ID. I am forty years old from Pakistan. I'm graduated in engineering physics here in my home country, and have been working with data analytics and data science for the past 4 years. Dedicated to web analytics, data and business analytics. Prior years I was a support role in online course development. Reading that you applied to 150-200 jobs Dedicated to web analytics, data and business analytics. You could learn about this data by getting access to the back end if allowed and doing some analysis. I currently have the option to possibly go back to school for an MBA with a data analytics focus. Project Assistant, Program Coordinator, Research Coordinator, Data Entry/Data Abstractor (the latter is what I did before becoming a data analyst). I'm currently 7 years into ID work, right now working as a Sr ID. I have learned enough to get things done for my needs but would like to put SQL and Data Analytics in my CV to improve. I have a background in chemistry and economics and worked random consulting and finance jobs before trying to pivot into data and analytics. It's an exciting time to be in data analytics, with AI acting as an enabler rather than a replacement. You will be inspecting, cleaning, transforming, and modelling the data. Learn SQL, C#, Python, AWS or MS Azure. However, I am weary about accepting because this was the easiest data science interview I have ever had. I did my undergrad in Biology so this is a big turn. The program uses Python and MySQL. We strongly urge those who have applied and received their GaTech ID number to head straight into our vibrant Slack for deeper learning and networking opportunities. Data Science/Data Analytics. Had 0 previous experience with coding or programming. Now, I am considering pursuing Georgia Tech's Online Masters of Science in Analytics (OMSA) program. , writing simple, repetitive queries). Aiming for a portfolio in engineering or architecture will differentiate you either way. Here's my situation: I have an MS in Big Data Analytics from St. I spent 2021 working on transfer courses, and I started the BSDMDA in Feb 2022 with about 70% of my credits transferred in, graduating in Jun 2022. It’s about discovering answers and finding patterns or trends. Best of luck in whichever path you choose! After picking up a Business Data Analytics minor, and talking with my counselors so I could graduate with 2 certificates. I'm guessing that he/she would have enjoyed the program I left because it was completely devoid of application (i. emphasis Im just wrapping up my first year in the program and I highly recommend it. Questions on this theme are common. This will give you the end to end journey of the data in your organisation but also allows you to learn more data analytics type skills. Here are ten reputable universities in the USA that offer online certifications in Data Analytics: Harvard University Massachusetts Institute of Technology (MIT) Stanford University University of California, Berkeley Columbia University New York University (NYU) University of Michigan University of Pennsylvania Students in the data management & data analytics bachelor's program, would you recommend it? I applied but haven't set a start date yet. No study guide was published yet when I took the Big Data Specialty exam, but there's now one on the market and I will read it when it's time to renew with the Data Analytics Specialty. —— Starting a hot dog stand on top of Mount Everest is not feasible or practical for several reasons: Hi everyone, I recently graduated from college with a bachelors in Economics and am currently struggling to find a job. Don't regret changing my major one bit. I'm currently in the program and my perspective is a little different than the last poster. What you said at the end is what I have been noticing. It was just an chat with two analytics managers and there was no technical interview with any other data scientists. It really depends on the school. S. If you truly knew those languages and technologies you could find work. Members Online This is a place to discuss and post about data analysis. This is not a generic 'business' subreddit and off topic posts will be marked as spam. The first is worth credit at SNHU and brings in four classes - DAD 220 Intro to structured database environments, DAT 205 Role of data analysis in organizations, DAT 325 Data validation quality and cleaning, and DAT 375 Data analysis techniques (12 credits total). But I’m still using gpt4. in the Banking Sector. See full list on umgc. Although I developed an interest in Data Analytics during my MBA in Finance (Financial Modeling Course), but due to lack of data analytical jobs I had to opt for different interrelated roles of financial operations, sales, marketing, etc. There's a lot of different techniques You could go to UMUC, do your basic courses there, then get out of the military and use your GI Bill. We're here to discuss analysis of data, learning of skills and implementation of web analytics. You got this! the data detective- tim harford 10 easy rules to make sense of statistics lean analytics the model thinker hyper learning edward d heiss 6)"SQL for Data Analysis: Using SQL and Big Query for Data Analytics" by Bill McFadden. I don't know anything about UMUC but I would make sure to see their job placement rates and speak to graduates. Reading that you applied to 150-200 jobs Welcome to r/unimelb, a subreddit dedicated to the University of Melbourne community. Sales will look into areas where customers are moving towards and capitalize on the next product. I personally wouldn't expect a data analyst to know any ML or AI stuff, or to know about data engineering, database admin, cloud migration etc. Think long and deep of any moments in your career where you worked with data, analytics, reporting, or data visualization. I'm currently in data analytics with a concentration in project management. So yeah, in that regard, the Udacity program is the data analysis portion of WGU's BS of Data Management and Data Analysis and should be what you're looking for there. I am not sure what your background is. If you come from a similar academic background but found yourself working in tech, OR have an MBA or MS in Analytics, please leave your thoughts, comments, and suggestions! Business Intelligence is the process of utilizing organizational data, technology, analytics, and the knowledge of subject matter experts to create data-driven decisions via dashboards, reports, alerts, and ad-hoc analysis. Data scientists blend techniques from computer science and statistics – such as machine learning, artificial intelligence, pattern recognition, statistical learning, probability models, and visualization – to manage, analyze, and interpret data. The Digital Marketing and an SAS joint certificate program. I was originally planning on enrolling into the Data management but after looking at the certifications the degree path seemed like a high level help desk position because of all the CompTIA certs and not much to do with databases. A subreddit dedicated to ask how-to's, discuss research, recent developments, share tips, resources, tools, analysis, computing and solving general queries related to all things data analysis and data science. ) The program is 36 credits. To move on, my skillset needs some work. Are you sure you like Data Analytics? It's a math-intensive field. For data analytics The income sharing contract expires in 5 years, regardless of how much has been paid back. I want to pursue a Masters, but I am wondering which one would benefit me in the long run - an MBA or MS in (Data) Analytics. - All reddit-wide rules apply here. Often data is never in the right format you need it to be. There are better alternatives to data analytics or data related programs compare to the sait one and it's too costly and to be frank. 4o seems a little inconsistent right now. Im just wrapping up my first year in the program and I highly recommend it. The online Master of Science in data analytics (MSDA) program at UMGC offers cutting-edge, skills-focused curriculum providing real-world analytics and hands-on experience. Jul 13, 2018 · Potential discussion topics may include the convergence of data-management technologies; the increasing importance of data governance, quality and integration; and the rise of the chief digital officer and the data curator. I have been doing school full time for the last two years.
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