Anita Sachdeva’s Post

Thrilled to share a sneak peek into our upcoming podcast episode on Wisdom Whispers with Abhishek Mittal! 🌟 In this episode, we had the honor of hosting Anita Sachdeva, a distinguished leader in the realm of data sciences, boasting an impressive two decades of corporate experience in data analytics. 📊 Anita graciously shared invaluable insights during our discussion, shedding light on the essential mantras to excel as a data science professional, as well as unveiling the 4-5 crucial skills required for success in this dynamic field. Curious to delve into the world of data science alongside Anita? Tune in to our show and join us in uncovering the secrets to success in this ever-evolving domain. Don't forget to like, share, and subscribe to our channel (link in the comments) to stay updated on this insightful episode and more captivating content! 📲 Let's embark on this enlightening journey together! #DataScience #WisdomWhispers #Podcast #DataAnalytics #College #Campus #CareerGrowth #Development #Professionals #GenZ #Analytics #Python #SQL

🎙️ #Podcast Alert: Power Up Your Business with #DataScience & #AI Excited to share my recent conversation with Vibrant Publishers, where we discussed how #DataScience and #AI are revolutionizing business success. In this conversation with Leah Monteiro, we explored the essentials of Data Science, from foundational principles to advanced strategies. If you're curious about how data-driven insights can transform your business, this one's for you! Key Highlights from the conversation: 1. The Critical Role of Data Science in Business Transformation 2. Building a Successful Data Journey: Tools & Techniques 3. From Raw Data to Smart Decisions: Real-World Insights 4. Busting Common Myths About Data Science 5. Emerging Trends Shaping the Future of AI 🎧 Tune in on YouTube: https://lnkd.in/gB6yBW6H Special Thanks to Deep U. and Leah Monteiro for making this happen. #Podcast #AIStrategy #DataDrivenDecisionMaking #FutureOfAI #Innovation #DataSciencePodcast #Podcasts

💡𝐈𝐬 𝐃𝐚𝐭𝐚 𝐭𝐡𝐞 𝐍𝐞𝐰 𝐎𝐢𝐥 𝐟𝐨𝐫 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬? In this insightful episode, data science expert Karthik C shares the fundamentals of data science, real-world applications, and actionable steps to get started with data science at any level. 🚀 📊 Whether you’re new to data or a seasoned professional, this conversation offers insights that’ll keep you and your business ahead in today’s data-driven world. 📈💡 🎧 𝐓𝐮𝐧𝐞 𝐢𝐧 𝐚𝐧𝐝 𝐥𝐞𝐚𝐫𝐧 𝐡𝐨𝐰 𝐝𝐚𝐭𝐚 𝐜𝐚𝐧 𝐩𝐨𝐰𝐞𝐫 𝐮𝐩 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬! https://lnkd.in/dhdmkb4X #VibrantPublishers #DataScience #BusinessStrategy #AI #Podcast #Innovation #TechTransformation #Python #DataPrivacy #DataEthics

Data science can mean something completely different depending on who you talk to. That’s why the Data Neighbors Podcast is sitting down with data professionals across the field to hear their stories - what data science means to them and how they’ve landed where they are today. From industry to industry, company to company, team to team, and even year to year, data science shifts and evolves. It’s a wide (and sometimes ambiguous) spectrum, but understanding it can go a long way in making you more effective in your role - whether you’re a data professional or someone working alongside one. I’ve got my own opinions on what data science is (and isn’t, for that matter), but my perspective is just one of many. 🎙️ 𝐍𝐞𝐰 𝐞𝐩𝐢𝐬𝐨𝐝𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐍𝐞𝐢𝐠𝐡𝐛𝐨𝐫𝐬 𝐏𝐨𝐝𝐜𝐚𝐬𝐭 𝐝𝐫𝐨𝐩𝐩𝐢𝐧𝐠 𝐭𝐡𝐢𝐬 𝐓𝐡𝐮𝐫𝐬𝐝𝐚𝐲! 𝐈𝐧 𝐭𝐡𝐞 𝐦𝐞𝐚𝐧𝐭𝐢𝐦𝐞, 𝐜𝐚𝐭𝐜𝐡 𝐮𝐩 𝐨𝐧 𝐨𝐮𝐫 𝐟𝐢𝐫𝐬𝐭 𝐟𝐨𝐮𝐫 𝐞𝐩𝐢𝐬𝐨𝐝𝐞𝐬. 💬 And let me know in the comment: what does data science mean to you?

🎙️ New Episode: Klaviyo's Data Science Podcast🎙️ https://lnkd.in/gE5UqxeY Wish you could give your younger self some advise? 4 senior members of our data science team sit down to reflect on what they know now and what they wish they'd know earlier in their career: 🎙️ How taking a more scenic or indirect career route can impart valuable experiences 🎙️ The growth and development opportunities that truly unlocked new phases of their careers, and how you can make the most of similar opportunities 🎙️ Why mistakes often make the best learning opportunities

DAY 2 (ACCOUNTABILITY):🧾🧾 Today, I dove into an insightful podcast episode from SuperDataScience on Spotify (EP. 828), where industry experts shared their experiences and practical advice in data science. Every minute of this episode reinforced my passion for this field. Thank you @KeithMccormick for shedding light on Citizen Data Scientist and a big thanks to Jon Krohn. Why Data Science? For me, data science is more than just a career path — it’s a calling. I’ve always been curious about the world and driven to understand it more deeply. Data science feels like a perfect fit because it’s all about exploring, analyzing, and discovering patterns that could change the world. This field fuels my curiosity and gives me a real opportunity to solve meaningful problems. Through data, I believe we can find solutions that matter, and this dream of positively impacting the world keeps pushing me forward. I’ll be continuing to share my daily learnings and growth as I take steps towards achieving my dream. Let’s keep the momentum going! #DataScience #AccountabilityJourney #DreamCareer #ContinuousLearning #CuriosityDriven #SuperDataScience

Part 2 of my discussion on the ScienceForWork podcast is up. In this we discuss the usability of academic research in the workplace, how to make the right trade offs between academic rigor/methodological 'coolness' versus genuine practical value-add in organizations, the challenges of dealing with 'pop psychology' beliefs and the typical pitfalls getting started in evidence-based practice. #analytics #iopsych #peopleanalytics #datascience #rstats #python #data #statistics

Here is my first effort on NotebookLM to make data science easy and fun for myself and for others. This podcast beautifully explains hypothesis testing in a very easy way. I have tried to keep it short and to the point. Do listen to it and give your feedback. Happy learning! More to come.

📢 NEW Substack is online! I was guest in Jon Krohn’s Super Data Science podcast. In my latest Substack post I share some insightful Q&As from our exciting interview on how to learn Data Engineering! Check out the complete blog post here 👉 https://bit.ly/4ahA62V #dataengineer #dataengineering #datascience #bigdata #learndataengineering

🎙️ New Podcast Episode: The Rao-Cramer Inequality—Where Precision Meets Boundaries 🤯 What if mathematics could tell us the ultimate limit of precision in estimation? 📊 Our latest math-heavy podcast episode dives into the Rao-Cramer inequality, a foundational result in statistics that defines the lower bound for the variance of any unbiased estimator. 🔍 What You’ll Learn: 💠 Origins and Insights: Explore the deep connections between information theory and statistical estimation as established in C.R. Rao’s groundbreaking 1945 paper. 🥘 The Role of Fisher Information: Understand how this concept quantifies the information a dataset carries about its parameters and its impact on estimation precision. 🌏 Real-World Applications: From engineering signal processing to optimizing machine learning algorithms, discover how this inequality shapes decision-making and model design. 🌟 Mathematical Breakdown: We break down the inequality’s elegant formulation, explaining why it’s a benchmark for statistical performance. 💡 Whether you’re a data scientist, statistician, or math enthusiast, this episode will challenge you to think critically about what precision means in the context of uncertainty. 🚇 The episode is available on youtube and spotify. 🎤 Daniel A. Nir Regev #Statistics #MathPodcast #RaoCramerInequality #FisherInformation #DataScience