BVA Data Factory’s Post

3 years ago, I was grading papers and teaching high school math. It’s been a challenging but rewarding journey. Tips for those who are considering a switch to data science: 1. Leverage Your Transferable Skills Your existing skills are more relevant than you might think. Utilize them as you pivot into data science. 2. Embrace Continuous Learning The field of data science is always changing. To be successful, prioritize learning and growing. 3. Build a Strong Network Network with other data scientists to gain guidance, support, and opportunities for a successful career transition. ✨It's the destination that matters, not the starting point. P.S. What’s one key lesson your past experiences have taught you? #DataSistah ♻️Reshare and help others.

Exciting News 💃🏾💃🏾💃🏾. I’ve Just Completed My Data Science Bootcamp! I'm excited to announce that l've successfully completed an intensive Data Science Bootcamp organized by Digitaley Drive which has been a truly transformative experience. Over the past few months, l've gained invaluable skills and insights to tackle real-world data challenges with confidence. I have learned to explore, prepare and clean raw data by leveraging Python. I explored the depths of machine learning algorithms, including supervised and unsupervised learning techniques. I built and fine-tuned models to solve complex problems, improving my understanding of feature engineering and model evaluation. I'm excited to share my capstone project, which serves as a culmination of everything l've learned. The project involved developing a predictive model to classify weather types based on various meteorological features. You can find my project submission attached to this post! Shoutouts to Ruby Ihekweme, AAT for her passion to educate & empower women in tech and I am incredibly grateful to the very talented instructor Ayo Atunrase who guided us with his expertise and to my fellow bootcamp participants Olonade Salwa, Nokuthula Nyembe we did it! This bootcamp has ignited my enthusiasm for data science even further, and I'm eager to apply these skills in real-world scenarios. I'm now looking forward to new opportunities where I can leverage my skills to make data-driven decisions and drive impactful results. Feel free to check out my capstone project attached, and don't hesitate to reach out if you're interested in discussing data science, potential collaborations, or just connecting. #DataScience #Bootcamp #MachineLearning #BigData #Digitaleydriveng #DataVisualization #CareerGrowth

🎓 Excited to share that I've recently earned my Data Science certificate! 📊💻 After weeks of intensive study and hands-on projects, I'm thrilled to announce that I've completed Data science for beginners . This journey has been incredibly rewarding, and I'm excited to leverage my newfound skills in the ever-evolving field of data science. 🔍 What I've learned: Data visualisation techniques, Machine learning, Artificial Intelligence, Algorithms 💼 How it benefits my career: With this certificate, I'm equipped to Data visualisation techniques, Machine learning, Artificial Intelligence, Algorithms I'm excited to apply my expertise in Machine learning and Artificial Intelligence 🙌 Gratitude: Huge thanks to NASSCOM and Future skills prime for providing such comprehensive and valuable learning resources. Grateful for the support of [mention anyone who supported you during your learning journey, such as mentors, colleagues, or friends]. 📈 What's next: I'm eager to continue growing and expanding my skills in data science. Open to new opportunities and collaborations in the field. Let's connect if you're interested in discussing how we can work together! 📩 Feel free to reach out if you have any questions about my experience or if you'd like to connect and discuss data science further. #DataScience #Certificate #CareerGrowth #DataAnalytics #MachineLearning #LinkedInLearning #NewOpportunities

🎓✨ I am thrilled to announce that I have successfully completed a transformative 6-month Data Science Bootcamp at OdinSchool, marking a significant milestone in my professional journey. This intensive program has been an exhilarating learning experience, and I am deeply grateful for the unwavering guidance of my remarkable mentors. 🙌 A special thanks to: 🌟 Nikhil Garg (Statistics) 🌟 Amit Goyal (SQL) 🌟 Barakha Patowary (Python) 🌟 Shaik Mujeeb (EDA & ML) 🌟 Neha Chiluka (Power BI) 🌟 Chitranjan Upadhayay (ML) 🌟 Kavitha Acharya (SQL & Python) Your expertise and support have been instrumental in shaping my journey in data science. Thank you for your invaluable mentorship. Key Skills Developed: SQL: Mastery in querying databases and extracting actionable insights. Power BI: Skilled in creating dynamic visualizations to elucidate complex data patterns. Python: Proficient in data manipulation, analysis, and implementing machine learning algorithms. EDA (Exploratory Data Analysis): Adept at uncovering trends and patterns within datasets. Machine Learning: Competent in deploying ML algorithms for predictive modeling and data-driven decision-making. I am enthusiastic about applying these skills in real-world contexts and contributing to the dynamic landscape of data science. 🌐✨ I am open to new opportunities, collaborations, and meaningful conversations. Let’s connect and explore the boundless possibilities that data presents! 🤝📊 #DataScience #Analytics #AI #CareerGrowth #Appreciation #DataAnalysis #Python #SQL #PowerBI #EDA #MachineLearning #DataJobs #Opportunity #ProfessionalDevelopment

Greetings everyone! Hope you're always in a healthy and happy condition right.. So.. Welcome to my first post on LinkedIn. Probably these weeks will going to be quite exciting because about few weeks later, I'll post my progress and what I learn about data science. 🚀 Week One: Kicking Off My Data Science Journey! 🚀 During the first week at @Digital Skola, I've had the opportunity to dive into the fascinating world of Data Science. Here are some key takeaways from my learning: 1. Introduction to Data Science: Understanding what Data Science is and how it blends domain expertise, mathematics/statistics, and computer technology skills. 2. Data Scientist's Deliverables: From classification to recommendation, data scientists play a crucial role in helping organizations make better decisions. 3. Essential Skills: Both hard skills like SQL, Python, and machine learning, and soft skills like data storytelling and critical thinking are essential for a successful data scientist. 4. Data Processing: The steps from data collection to analysis to derive meaningful insights. 5. Predictive Algorithms: The process of building predictive models, from data preparation to model evaluation. Reflecting on my previous experience where I had to analyze data, this new knowledge makes me feel more confident in approaching it with a more structured and scientific method. Why? Because in my last experience when I learn about analyze data or kind of Big Data Field, I have no really mentor that really teach me about the technique of analyzing data. For more detailed information, please check out the slide I've created. Hope you find it useful! #DigitalSkola #LearningProgressReview #DataScience

Hello LinkedIn Connections! I’m thrilled to announce that I have just completed my certification in Data Science Foundations! This certification has provided me with a solid foundation in key areas of data science, including: Data Science Life Cycle : Understanding the comprehensive process of data analysis. Data Mining Tasks : Learning techniques to uncover valuable insights from data. Introduction to Machine Learning : Exploring the basics of machine learning algorithms and their applications. Languages for Data Science : Gaining proficiency in essential programming languages for data analysis. I’m excited to apply these new skills to real-world challenges and contribute to data-driven solutions. A big thank you to everyone who supported me on this journey! Looking forward to connecting with fellow professionals and exploring new opportunities in the data science field. #DataScience #MachineLearning #DataMining #Analytics #ProfessionalGrowth #LifelongLearning

Do you really need a degree to become a data scientist? ⬇️ These days, you don’t always need a formal degree to start a career in data science. If you’re eager to learn, the internet is full of helpful materials. Platforms like LinkedIn offer free articles and community groups. YouTube has countless tutorials on data analysis, machine learning, and coding. Websites like Coursera and edX provide free courses from universities. I personally know many great people who became data scientists without a formal bachelor’s degree in data science. In the end, it’s your passion and hard work that will help you succeed. Don’t let the lack of a degree stop you from pursuing your goals. 💡Sometimes, the best way to learn is by doing. Dive in, start experimenting, and you’ll be surprised at how much you can achieve. #DataScience #SelfLearning #FreeEducation #CareerChange #LearnOnline #DataAnalytics

👩💻 I have been actively pursuing a career in data science, exploring various courses, and seeking guidance from professors. I had the privilege of meeting My Dear Engineer Mona Hatami and participating in a three-month project-oriented data science course. This experience not only complemented my formal education but also provided me with valuable insights into teamwork, ethical considerations, and professional practices. It has given me a strong foundation to enter the professional world of data science. Mona Hatami Teachmeroadmap #datascience 🚀 💻

Exciting News: I’ve Completed My Postgraduate Program in Data Science! After an intensive journey of learning and growth, I’m thrilled to announce that I have completed my postgraduate certification in Data Science. 🎓💡 This program has been a transformative experience, equipping me with a deep understanding of machine learning algorithms, big data analysis, and data visualization techniques. Each module was a step forward in my quest for knowledge, and every challenge faced was an opportunity for growth. I’m grateful for the support of my mentors, friends, peers, and family who encouraged me throughout this demanding but rewarding path. 🙏 As I turn this page, I’m eager to see what is to come! 🚀 #DataScience #MachineLearning #BigData #CareerGrowth #PostgraduateJourney #Personaldevelopment #Lifelonglearning

🚀 First Week Data Science Learning Progress : A Journey into Data Science 🚀 I'm excited to share that I've just completed my first week to learn data science at Digital Skola. Here's a snapshot of what I've learned : 🗃️ The Importance of Data and Data Warehouse : Data plays a crucial role in decision-making, drives innovation, and uncovering valuable insights in various fields. At the core of effectively managing this valuable resource are databases, which efficiently store and organize data. For data scientists, mastering SQL and database management systems (DBMS) is essential. These skills unlock the true potential of data, enabling effective extraction, manipulation, and analysis to driving insightful and transformative outcomes. 🔬 Data Science: The Career Path and Skills Needed : Data science combines both hard skills and soft skills. Data scientists using their statistical knowledge to ask the right questions, their coding skills to gather and analyze data, and applies business understanding to interpret results and guide strategic decisions. It’s this unique combination of skills that makes data science such an exciting career path.   📈 Data Science Methodology : Data science applied several methodologies to address and solve data-driven problems. These methods provide structured frameworks that help systematically explore, analyze, and understand data. A huge shout-out to Team 1 : Radityo Fajar Pamungkas Scudetto Ciano Syam Yayes Kasnanda Bintang Nugroho Wahyu Saputra Rima Fitrianti Azahra Farhad Salim Sungkar for being an incredible support system throughout my data science learning journey! 🔎 Interested in the topic above? Dive into our slides for a deeper information! #DataScience #LearningProgressReview #DigitalSkola