Marketers In Progress’ Post

--- 🎓 **Excited to Share!** 🎓 I am thrilled to share that I have successfully completed a certification in **Research Methodology**! 📚✨ This course has equipped me with essential skills and knowledge in designing, conducting, and analyzing research with rigor and precision. From understanding various research designs to mastering data collection and statistical analysis, I now feel more confident in my ability to contribute to impactful research projects. #ResearchMethodology #ContinuousLearning #ProfessionalDevelopment #Research #DataAnalysis --- 

Just completed a 3-day online research workshop focusing on basic research skills and statistical analysis. Explored crafting research questions, study designs, data collection methods, and statistical tools. Ready to apply newfound knowledge in future research endeavors. Grateful for the insightful learning experience! #ResearchSkills #StatisticalAnalysis 📊📚

Last week I had my first school workshop at Columbia University, in which I chatted with ~60 grad students about the most common pitfalls of aspiring data professionals, and creative ways to overcome them. I'm sharing the recording of this talk in the hopes that it saves other analysts their time and energy (and blood/sweat/tears) as well. From working closely with many students and mentees over the last year, here's what I've observed to be the most common (and critical) mistakes of data applicants in today's competitive market: 1. Resume before experience 2. Portfolio without business relevance 3. Spraying and praying (...you know who you are) 4. Getting lost in translation 5. Over-focusing on technical skills This one's on the longer side, but if you're serious about working in data, stick around till the end for the Q&A of the most pressing questions students had around interviews, projects, sponsorships, and networking! Shoutout to the Applied Analytics Club for organizing and having me! Jiajun Li, Junjie Wang, Wenqing Huang, Wenhan Xu, Yilin Xiao, Emma D. Akue

Very grateful for my doctoral education, as it has equipped me with a comprehensive understanding of data analysis. I often realize that I already know data analysis concepts, just with different terms to describe it. This familiarity makes learning new languages easy and fun! #DataAnalysis #LifelongLearning

Curl up with a cup of coffee and read about the ways PhD candidates used qualitative data analysis software during their research methodology process in a five-year study: dedoose.info/qdasstudy #dissertation #software #data #analysis #highered #academics

Happy Thurs! Last week I had my first school workshop at Columbia University, in which I chatted with ~60 grad students about the most common pitfalls of aspiring data professionals, and creative ways to overcome them. So for this week's vid, I'm sharing the recording of this talk in the hopes that it saves other analysts their time and energy (and blood/sweat/tears) as well! From working closely with many students and mentees over the last year, here's what I've observed to be the most common (and critical) mistakes of data applicants in today's competitive market: 1. Resume before experience 2. Portfolio without business relevance 3. Spraying and praying (...you know who you are) 4. Getting lost in translation 5. Over-focusing on technical skills This one's on the longer side, but if you're serious about working in data, stick around till the end for the Q&A of the most pressing questions students had around interviews, projects, sponsorships, and networking! Shoutout to the Applied Analytics Club for organizing and having me! Vivian Yin Jiajun Li, Junjie Wang, Wenqing Huang, Wenhan Xu, Yilin Xiao, Emma D. Akue

📊💹 100 Days Of Data Analysis Learning Challenge Day 74: Introduction to Statistics Hello, LinkedIn community! 👋 Today's focus was on understanding Variables, delving into the intricacies of categorical and numerical variables. Reflecting on this course, I realized the depth of knowledge gained surpasses many resources available on YouTube. A special thanks to Prof Abiodun Lawal for his dedicated and comprehensive teaching. Your commitment is truly appreciated, sir. To all undergraduates, I urge you to value your lectures as they strive to equip you with the best knowledge.🤗 If you're considering joining this journey, I encourage you to start today. Wishing everyone a restful night. #100daysofdataanalysis #consistency #learningbydoing #Statistics #growth #passion #achievement #beinspired

A poor man once asked his son, "Was it my fault I wasn't rich enough to make your life better?" The son, wise beyond his years, replied, "Father, it's not our circumstances that define us, but our choices. We can choose to blame the past or take charge of our future." What's your choice in life? Are you eager to make a change in your life... Learning new skills and embracing challenges. True wealth comes from knowledge and determination, not just money. Every obstacle was a stepping stone, not a stumbling block. It's a new week... You too can embark on your journey of transformation. Our upcoming data analysis course is designed to equip you with the skills needed to change your narrative and create a brighter future. We are taking in limited students for our upcoming data analysis course. Sign up today. https://lnkd.in/da-eBiVQ For more info... Visit Our Website At: ofriend.io #newweek #dataanalysis #takeaction

"Excited to share that I've completed the Quantitative and Qualitative Research Methods course on edX! 🎓 This experience has equipped me with essential skills in data collection, analysis, and interpretation—key to making informed, evidence-based decisions. Looking forward to applying these insights in my future projects! #LearningNeverStops #Research #DataAnalysis #ContinuousLearning"

"I'm thrilled to share that I've recently completed a short-term course on Statistical Methods and Data Analysis for Life Sciences! Gaining practical skills in data analysis and statistical interpretation has been a game-changer for me. I'm now more confident in my ability to extract insights from complex data sets and drive informed decisions in my field. Thanks to this course, I've enhanced my skills in: - Data visualization and communication - Hypothesis testing and confidence intervals - Regression analysis and modeling - Experimental design and sampling techniques I'm excited to apply these skills to drive impact in my work and continue growing as a professional in the life sciences industry. #DataAnalysis #StatisticalMethods #LifeSciences #ContinuousLearning #ProfessionalDevelopment"