Grow data skills reddit. Basically, your rough KPI needs to be: how long does the onboarding of a new developer (or a new data analyst!) takes. It really depends. These courses offer a combination of theoretical knowledge and practical hands-on exercises to help you develop data science and SQL skills using Excel. I wrote a brief guide on how to become a data scientist based on my own experience including learning R, SQL, stats, crafting a resume, and preparing for interviews. Several organizations I’ve worked and/or freelanced for are obsessed with the new hotness all the time. […] Data Science, Generative AI, Business Intelligence, Others, ETL, Data Lake, Artificial Intelligence (AI) The best way to develop problem-solving skills is to broaden your knowledge base. I am great with both of those platforms, but have reached a plateau in my career as I have no room to grow. I wanted to share how I went from being a health coach with absolutely no data analytics experience to becoming a data analyst in under a year. Mar 6, 2025 · Success in data analytics isn’t just about technical skills, it’s also about building meaningful professional connections. Remember, the key is to start with the basics, gradually build your knowledge, and always stay curious about new developments in AI. Learn, Prepare, Get Hired. If you struggle to find effective work as a data scientist, are you really a data scientist? I'm still a student in this field (but I have extensive experience in business in related fields), but my understanding is that Data Analysts need to work with stakeholders, the subject matter experts, to understand the domain that they are working in Nov 13, 2025 · Data analysis skills are in high demand. Put these on Github or somewhere that you can make public to people. What are the fields in It covers essential Excel functions, data analysis techniques, advanced features like pivot tables, and data visualization. It also depends where do you want to specialize and what you like to do/learn. So I would suggest you look into jobs that you find interesting. growdataskills. Day 1-3: We’ll start with Power BI. I think I'm pretty decent at the 'Core' skills of a data analyst, being: - SQL (Snowflake) - Data viz (PowerBI) - Python What are some of the next steps I can take to improve my current skills? Or should I pick up some new skill? And if so, what are some valuable skills that Build data modeling skills: Understand dimensional modeling and optimize data structures. data analyst going on 9 years. THIS THREAD IS FOR REVIEWING RESEARCH NOT CONDUCTING IT!This is the 31th thread. Learn about career opportunities, leadership, and advertising solutions across our trusted brands Aug 28, 2025 · Fastest growing occupations: 20 occupations with the highest projected percent change of employment between 2024–34. Follow their code on GitHub. Click on an occupation name to see the full occupational profile. Includes learning timelines and resources. Not because Excel is a bad tool, but because Excel is not the best tool for every job - and that definitely goes for a lot of the work that data scientists do. g. As a SWE, I wanted to switch to data science to have a more intellectually stimulating and rewarding job. Some data analyst jobs do require R but that’s not typical. What are folks suggestions for improving my knowledge/skillset in this area? I have looked at a view graduate certificates in data science but seems like there may be ways to learn these skills for a Data visualization is key to communicating your findings. Professional sr. You need to be able to recognize deep structural similarities in the problem you’re facing with one you’ve encountered before, and the best way to build that knowledge base that you can search for answers is to start learning other tangential domains. You're trying to answer a different question Affordable, Industry-Oriented Courses | Master In-Demand Data Skills | Learn from Experts at Leading Tech Companies | Grow Your Data Career | Join the Top 1% of Data Professionals with Practical, Job-Ready Training. project/product manager). Learn different type of schemas. I’m very comfortable with GCP stack and want to build some side projects or tackle challenges that are as close as possible to real-world scenarios. To myself: I'm trying to get a job in data and have been doing courses to gain the required skills (SQL, Excel, Power BI). I am graduating with an MSBA degree this fall and looking to improve my DS skills and knowledge for the interview and job. My question: how do you really learn concepts? For example, with Power BI the course I did taught some basic DAX functions. With 20,000+ learners across 30 Look for internships. ==You can subscribe via RSS to notables now==Simply use this Oct 25, 2023 · We've selected the best Reddit data advice out there for those starting out learning data analytics. Explore expert-written blogs, real interview experiences, and AI-powered resume analysis May 31, 2024 · In what ways does Reddit serve as a valuable platform for data analysts to connect, learn, and grow in their field? On the data analyst subreddit, the frequently asked question about how Reddit serves as a valuable platform for data analysts highlights the diverse benefits that the platform offers to professionals in the field. Contribute to shylsh/Grow_data_skills development by creating an account on GitHub. But as companies start building data science teams, those teams are pushing more and more to get away from Excel. I am currently working as a junior data engineer in a Service based company. A lot of people are going to emphasize on the expertise you need to have using x or y tool (python over excel, r over python), but ultimately you need to be able to read into data and give proper insight. I have spent more time then anticipated in a research for the bootcamp, school or anything that will help me to gain necessary skillset. I could follow along, but if I were to do functions like that on my own I'd be lost. Analytics Insight is publication focused on disruptive technologies such as Artificial Intelligence, Big Data Analytics, Blockchain and Cryptocurrencies. 11. Jan 27, 2026 · Master the 15 essential data engineering skills for 2026—from SQL and Python to cloud platforms and AI integration. My project runs for a few more months and then I have to find something else. It’s a fine career … as long as you’re personally committed to constantly building your skill set and finding the best ways to apply your constantly evolving skills. is America’s largest digital and print publisher. The field of data analytics is indeed growing rapidly, but that doesn't mean it's saturated. Try to find online or in-person communities to network. Explore now. A one-stop platform to upskill data professionals in Data Engineering, AI, and Analytics with industry-oriented courses. Affordable, Industry-Oriented Courses | Master In-Demand Data Skills | Learn from Experts at Leading Tech Companies | Grow Your Data Career | Join the Top 1% of Data Professionals with Practical, Job-Ready Training. Grow Data Skills | 18,052 followers on LinkedIn. Working with relational tables and lakes will also go a long way. Start reading their merge requests. People Inc. This advanced program builds on the foundations of the Google Data Analytics Certificate and helps enhance technical skills, including Jupyter Notebook, Python, and Tableau. Apr 29, 2022 · While no two data science careers are exactly alike, there are some best practices that should work for everyone. Following that theme, don't ask us about software engineering. Build your ML skills in a supportive and helpful community Kaggle's community is a diverse group of 30 million data scientists, ML engineers & enthusiasts from around the world. Yes, get good on your technicals (math, statistics), and learn how to properly program in SQL I was always involved with systems and data as part of my job functions, on order to better perform my job function (operations) while most of my peers don't. Hey r/geospatial, I'm looking to improve my data science knowledge and be able to work with large datasets. Modeling skills for both ML applications and data reporting. Ingestion, transformation (shine those sql skills here, and storage. I am interested in doing the UX design certificate course through Grow with Google but wanted to hear any experiences you all have had? The original poster asked specifically about data science skills in the context of recent evolution, not general data science skills, and not beginner data science skills. Please tell me what are the skills that I need to master to grow as a Data engineer and link some good resources if you can!! The Data Analytics Certificate, developed by Google, can help you learn how to use AI to process, analyze, and visualize data. Please redirect me to the answer if already been provided before. So, I'm a data analyst for two years now, and I'm wondering how I can develop my data analyst skills to the next level. Reply reply more repliesMore repliesMore repliesMore repliesMore replies Competitive What are responsibilities of your role What is the type of data science work that you're interested in doing When people talk about career path, most of the time they're talking about whether you want to remain an individual contributor, becoming a manager, or taking on a role that isn't pure data science (e. I'm hoping to work as a data analyst for a few years while I finish the degree because that would obviously be more relevant experience than working as a teacher. | GrowDataSkills is a fast-growing EdTech startup building career-ready professionals in Data Engineering, AI, Analytics, and Data Science through live, mentor-led and self-paced programs. I am at the point where I am looking to improve my analytical skills. Grow Data Skills 2026 Privacy policy Terms of use Contact us Refund policy tech skills are less important than you think domain knowledge is more important than you think data analysis in a vacuum does not drive business value you’ll have to work with people if you’re looking for a job, go network. You need to be able to understand the data, that means understand the processes that generates it. com Log In What would you recommend to improve on analytical skills, and looking at findings from different types of perspectives? We would like to show you a description here but the site won’t allow us. Log In - courses. I currently work as a teacher and I am doing a part time degree in Data Science with the eventual aim of being a data scientist. However, I'm uncertain as to how I can grow? I have knowledge of Excel, VBA, Power Query, Power BI, SQL, SAS, Python, business analysis, Collibra and some web dev skills from personal projects. I'm a Data Analyst at a bank with 4 years of experience making €700/day with a Masters in finance. Just a heads up on my 6 month progress, I did get 3 job offers from different industries - manufacturing ($70k) gas utility ($89k + 15% bonus) and water and power public utility ($89k). Similar story to Python because it isn’t used for data analyst jobs, more like data scientists. There's a community for whatever you're interested in on Reddit. Do a couple of projects on your own that demonstrate your skills. Aug 14, 2023 · Hi Sharks, Has anyone purchased or heard the reviews of Shashank Mishra's Data Engineering course? Below is the course link: https://growdataskills. Has anyone tried the Grow with Google certification program?? I want to get a fresh start. Feb 23, 2026 · ==Notables==This thread is for the collection of notable posts from the Q Research General threads on /qresearch/. Learn and earn with Google Skills, a platform that provides free training and certifications for Google Cloud partners and beginners. So far I have the following: SQL Python Scala R Apache Spark Apache Kafka Apache Hadoop Terraform Golang Kubernetes Pandas Scikit-learn Cloud (AWS, Azure, GCP) How do these flow together? Is there anything you would add? Thank you! Can anyone possibly speak to the top skills in data science they're seeing people are hiring for OR skills that typically garner the most money? In order of experience/work I've utilized: Excel (Advanced), Tableau (Advanced), ETL (Basic to Intermediate), Python (Basic to Intermediate), and Statistics (Basic to Intermediate). I’m especially interested in end-to-end big data pipelines (ingestion to insights), both batch and streaming. Learn about big data technologies: Explore Apache Hadoop and Apache Spark for large-scale data processing. Get hands on exposure to cloud platforms: Learn AWS, Google Cloud, or Azure and explore their data services. SQL at least basics but by year 3 should be quite proficient with at least pulling data. XGBoost, LightGBM and the ability to use them for tabular data. Make sure these are "real" data science projects and not lame reimaginings of the Titanic dataset from Kaggle. Take your data analytics skills further and learn how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data. If you're transitioning from a non technical background, this is for you. Put yourself in the shoes of the end user (e. Thank you for supporting our generous Flashers with your upvotes and friendly comments. I hate my current 9-5 and am paid poorly. Reddit is a network of communities where people can dive into their interests, hobbies and passions. Somehow I had this idea that DS would make it possible for me to pair my SWE skills with passion for maths, and I was really looking forward to lots of technical growth and exciting projects. Hey learners! I have curated some of the best data science resources and created a curriculum out of them. To get basic ideas: Book: The fundamentals of Data Engineering Course: DataClubTalks Data Engineering Zoomcamp After that I would go deeper in Think about removing the organisational bottlenecks: this requires mentoring, this requires documenting the data, data provenance, processes around the data, and how data in the database affects the business decisions. Jan 29, 2024 · Grow Data Skills Reviews: Analytics Jobs offers an in-depth review of Grow Data Skills, covering essential aspects such as career tracks, course content, learning modes, fees, and comprehensive feedback including reviews, ratings, and alumni placements. Getting into data analysis seems to be quite difficult. I have a Geography/GIS background but minimal experience with statistics/programming. I’m looking to curate a list of the most valuable and highly sought after data engineering technical/hard skills. . Tools: Power BI, Tableau, Plotly . When analysing any business try to gain an understanding constitutes "value" for that business and identify the data that affects it. Plus Topics: Duration: 7 days Let’s not forget the cutting-edge 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. We would like to show you a description here but the site won’t allow us. One off link backs and chatter will be regularly deleted. You need to think of yourself as an engineer, somebody that looks for solutions to problems. Some people/companies get it, some don't. Does anyone have ideas for challenging Affordable, Industry-Oriented Courses | Master In-Demand Data Skills | Learn from Experts at Leading Tech Companies | Grow Your Data Career | Join the Top 1% of Data Professionals with Practical, Job-Ready Training. With the increase in integration of data science into business problems, business skills are most in-demand in this field. For business intelligence, I’d suggest you learn about Affordable, Industry-Oriented Courses | Master In-Demand Data Skills | Learn from Experts at Leading Tech Companies | Grow Your Data Career | Join the Top 1% of Data Professionals with Practical, Job-Ready Training. Like throughout the tutorials that I followed DS skills aren’t necessary for data engineering, but to be fair, a unicorn hire for data teams is a senior data engineer who is also a senior data scientist. ChatGPT is your AI chatbot for everyday use. Researching on Reddit is bullshit and a lot of this sub is the blind leading the blind. This might be a repetitive post on the sub, sorry if it is. What I’d consider absolutely required are SQL, data modeling, a scripting language, and basic bash. Here’s our essential guide for developing your skills and reaching the next stage of your career. It’s great for creating interactive dashboards. I want to know what are the must-have skills for a Data Scientist and if are there any books/courses/videos that I can refer to make sure I am not Aug 14, 2023 · Has anyone bought/ done the HRCI Certificate in Diversity and Inclusion in HR Management? I already have my PHR, but I’m looking to gain more knowledge/skills and beef up my resume. Finally, practice transformations using SQL or Pandas. So now I am augmenting those skills in a more formal way. This uses some lite DE skills to help you demonstrate the Data Science skills in a full form factor. Chat with the most advanced AI to explore ideas, solve problems, and learn faster. I am already familiar with all the basic concepts of bigdata ecosystem like spark,hadoop etc. Explore how to gain entry-level data analysis skills to help you start a new career and develop skills that can help you advance to new roles. Learn software engineering from software engineers. Enjoy! We would like to show you a description here but the site won’t allow us. Mar 23, 2025 · I’m currently not in a data engineering role but really motivated to sharpen my skills. Ask the software engineer colleagues whose skills you respect the most to do some code reviews and help you identify your weaknesses. All Anons will be allowed to submit notable buns and only full buns will be accepted. I have a bachelor's in creative marketing and can't find any jobs. This review is tailored for individuals considering Grow Data Skills for their career development in data analytics and related fields. : r/learnmachinelearning     Go to learnmachinelearning r/learnmachinelearning r/learnmachinelearning A subreddit dedicated to learning machine learning MembersOnline • Tamock ADMIN MOD Affordable, Industry-Oriented Courses | Master In-Demand Data Skills | Learn from Experts at Leading Tech Companies | Grow Your Data Career | Join the Top 1% of Data Professionals with Practical, Job-Ready Training. Best way to gain technical skills needed for analytics career? I currently work as a mid-level business analyst for a healthcare company, mainly using Excel and PowerPoint. Welcome to r/flashing. Tools, languages, and courses recommended! Learn "data storytelling" from science communication researchers. Sep 3, 2024 · By following this roadmap and consistently working on projects, you'll build the skills needed to succeed in this rapidly growing field. Learn how to aggregate data (group by), join data, filter data, perform calculations (avg, min, max), window functions (partition by). Day 4-7: Then, we’ll explore tools like Tableau and Plotly for more advanced visualizations. Keep in mind though, what makes a good data analyst is their ability to apply those skills. I have a good understanding of Excel as well. I am an aspiring data analyst (also a career shifter) and been in this learning journey since the start of the year. I ended up going with the best (in my personal opinion) data engineering bootcamp. So I wouldn't worry about it too much. Is it worth doing? The course is $239 and you get 12 Recert credits with it. The key is being proactive and genuine in your networking approach: Join LinkedIn groups focused on data analytics and actively participate in discussions Engage with online communities like Reddit’s data analysis forums and relevant Discord servers Share your We would like to show you a description here but the site won’t allow us. What skills should I focus on learning to land a job as a Data Analyst? Hi, I am a 29 year old looking to start a career in Data and have been learning SQL and I am beginning to be proficient in querying. What are the most important/must-have skills for a mid/senior data engineer (tech skills-programming languages, frameworks, platforms and soft skills)? Data analyst Bootcamp Assignments. I have more or less knowledge about the tools to use, but I figured my analytical thinking and insight discovery skills need improvement. I am literally stating the fact that if you acquire these rudimentary skills, your ability to put together your own models for arbitrary "data science" problems will skyrocket and you will therefore be more impressive to employers (whether prospective or current). If NLP is needed get familiar with modern transformers quickly as they are the standard now. data analyst or data scientist) and change the shape of that data to something the end user would want. Agentic AI in 2026: Meaning, Tools, Use Cases, and Skills You Must Learn Explore top agentic AI tools, frameworks, and enterprise platforms, plus the essential skills needed to design and manage intelligent AI agents. com/course-data-engineering I am considering it just for AWS and projects. Then you can see which tools & technologies are important, as well the domain knowledge. Yes, there might be many applicants for certain positions, but there's still a high demand for skilled data analysts, especially those who can demonstrate proficiency in tools like Power BI and SQL. Speaking from my relevant experience interacting with data science but we also have a day engineering department. growdataskills has 17 repositories available. I really want to work in FAANG or good product based companies as a data engineer. Is the Google data analytics course a good Hey all! This is my first post in this sub, but I have been on here for a good while trying to gain as much information as I possibly can for my own data analysis journey. That’s sorta it for a traditional DS Hello everyone. vrfnijs syg kgdaxsw zhle yvcf omz clsz rfkft twqct kekve