Marketing dollars power loads of industries that surround our lives. In this episode we talk with Eric Ramos who is the Director of Data Analytics at Business Online, a B2B marketing firm, about how combining data from disparate sources leads to greater marketing insights and ultimately sales for their clients. How to Connect with Eric Ramos: - TWITTER:   / eramos42   - LINKEDIN:   / eramos42   - COMPANY WEBSITE: https://www.businessol.com / https://www.kudoz.io/ Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT CHAPTERS: 0:00:00 Intro 0:01:13 What does a Director of Data Analytics do? 0:04:12 Eric's background 0:19:35 What are the key steps do deliver insights with marketing analytics? 0:25:14 How to implement marketing intelligence 0:32:48 What is the difference between Marketing and Branding? 0:44:56 How cross-channel targeting works 0:50:19 How data is being shared among marketing vendors 0:57:10 How to optimize web pages while still collecting marketing dasta 0:59:55 How marketers can work with customer service to deliver better user experiences 1:02:50 How to act upon marketing intelligence 1:04:55 What is A/B Testing? 1:10:13 Are you ever done marketing? 1:12:07 How does AI help marketing? 1:15:57 What is the next for Machine Learning and Marketing? 1:21:37 What are the different roles in Marketing Analytics? 1:27:15 What are the key skills for Marketing Analysts? 1:29:41 Outro

Being able to see and understand your data is at the heart of Tableau's mission. Since they're debut Tableau has upended the data analytics industry with these principles and their easy to use self-service analytics software. On today's episode we hear from Tableau Evangelist, data veteran, and former magician, Andy Cotgreave on the keys to success in data as well as how Tableau software enables you to succeed. How to Connect with Andy: - TWITTER:   / acotgreave   - LINKEDIN:   / acotgreave   - COMPANY WEBSITE: https://www.tableau.com/ - https://www.interaction-design.org/li... Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT CHAPTERS: 0:00:00 Intro 0:01:04 Andy's Background 0:08:36 What Skills Should Data Analysts Learn? 0:12:40 What type of design skills should a Data Pro learn? 0:16:42 What are some pitfalls to avoid when designing dashboards? 0:27:56 How to present with data 0:36:50 What can we learn from journalism as a data analyst? 0:41:15 What's the difference between exploratory and explanatory dashboards? 0:43:31 How does Tableau enable data analysis? 0:49:10 How does Tableau help you become a better designer 0:52:13 Do I need Tableau desktop to create analytics? 0:53:25 Outro

Building trust into the metrics your company use to guide their decision making is a difficult task. Former Facebook and AirBnB Data Product Manager James Mayfield shares his insights into why focusing on the metrics is the right path to take to enable trust in your companies data. How to Connect with James: - COMPANY WEBSITE: https://transform.co/ - EMAIL: james@transform.co Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT CHAPTERS: 0:00:00 Intro 0:01:11 Working at Facebook in the Early Days 0:12:29 Developing Big Data Tools at Facebook 0:16:55 Transitioning to Analytics from Project Management 0:21:33 Building Data Tools at Facebook 0:24:42 How to chart your career path in data 0:29:52 Building Data Products at AirBnB 0:33:45 Why Metrics Should be the Focus 0:43:55 Where does Transform's Platform fit in to the modern data architecture 0:45:15 How to visualize the key metrics using Transform 0:47:13 How to version control your Metric definitions 0:50:16 Links for James

Computer Vision is a popular field of Artificial Intelligence that enables applications such as facial recognition and self-driving cars. In this episode we hear from Dr. Satya Mallick who has been working in the field since it's birth on all the various aspect of Computer Vision and how you can learn it to break into the field of AI. CHAPTERS: 0:00:00 Intro 0:01:22 Satya's Background 0:02:53 What is Computer Vision? 0:08:02 What is Open CV? 0:12:18 Evolution of Computer Vision Field 0:14:35 What is Artificial Intelligence? 0:18:22 The birth of Machine Learning 0:20:26 The birth of Deep Learning 0:24:48 What is Machine Learning? 0:30:07 What is Unsupervised Learning? 0:34:10 How to keep bias out of AI Algorithms 0:41:59 The Deep Learning Mafia 0:47:09 The evolution of Deep Learning 0:52:26 What is GAIT detection? 0:54:15 What are the areas of Computer Vision? 0:59:30 What Programming Languages Do You Use in Computer Vision? 1:01:49 Where do we learn OpenCV? 1:04:48 How do I get a job in Computer Vision? 1:13:39 What is PyTorch? 1:15:49 Why GPUs are Better for Machine Learning? 1:19:17 How Algorithms Optimize Themselves? 1:26:14 How big are algorithms? 1:28:33 How do you design neural networks? 1:32:57 What Programming Languages do Machine Learning Pros Use? 1:36:03 What are the different Machine Learning Roles? 1:41:14 Deployment Methods for Machine Learning Models 1:47:40 How to share your work and get hired? 1:50:27 How much do AI engineers make? 1:57:28 How Computer Vision Handles Low-Light? 1:59:58 When will we have Self-Driving cars? 2:13:01 Links for Satya How to Connect with Satya: - COMPANY WEBSITE: https://learnopencv.com/ - TWITTER:   / learnopencv   - LINKEDIN:   / satyamallick   - EMAIL: spmalek@opencv.com Links Referenced: https://www.image-net.org/challenges/...https://aipaygrad.es/ Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT

Data engineering has historically involved extracting data from disperate sources, transforming it to a standard layout, and then loading it into a new database for analytics. Usually these data engineering pipeline jobs would run on a schedule such as nightly or weekly. In today's fastpaced high-tech world however the need for data closer to real-time, meaning when it was first generated, is higher than ever. In today's episode we hear from Dustin Vannoy who is a consultant and blogger in the streaming data space about how to use Apache Spark, the most popular streaming analytics platform. How to connect with Dustin: - WEBSITE: https://dustinvannoy.com/ - TWITTER:   / dustinvannoy   - LINKEDIN:   / dustinvannoy   - YOUTUBE:    / @dustinvannoy   Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT Chapters: 0:00:00 Intro 0:01:01 Dustin's Background 0:09:51 Transitioning from legacy databases to Big Data and Streaming 0:13:29 Microbatching vs Streaming 0:18:17 What is Spark and why use it? 0:22:33 Apache Spark vs Data Bricks 0:26:24 Pay for a hosted Spark version or roll your own? 0:28:27 Databricks setup 0:30:25 How Databricks executes queries 0:32:41 Scaling approaches to Spark 0:35:14 Connecting to external databases in databricks 0:37:51 Visualizing data in Databricks 0:39:40 Using Spark for ETL work 0:42:50 What is real-time processing? 0:44:25 How to build a streaming job in Spark using Kafka 0:46:18 Streaming architecture overview 0:49:15 Pulling data from Kafka into Spark streaming 0:51:09 Why apps use Kafka 0:54:33 Why use Spark versus alternatives 0:57:37 What is Confluent? 0:59:38 Ways to learn Spark 1:02:04 How hard is Spark to learn? 1:04:16 Troubleshooting errors in Spark 1:07:03 How hard is it to transition to Spark from traditional databases? 1:11:51 Interviewing for a Spark job 1:15:46 Outro

A key ingredient missing in many organizations today is how to read and understand data. Ben Jones, founder of DataLiteracy.com, shares his insights into what Data Literacy is and how your company can benefit from increasing your level of it. How to Connect with Ben Jones: - TWITTER:   / dataremix   - LINKEDIN:   / benrjones   - COMPANY WEBSITE: https://dataliteracy.com/ References Mentioned in this Week's Episode: - The Visual Display of Quantitative Information https://amzn.to/3eg9nsw - Hans Rosling: The Best Stats You've Ever Seen    • The best stats you've ever seen | Han...   - William Playfair - Christoph Scheiner Chapters: 0:00:00 Intro 0:01:20 Ben Jones' Background 0:05:46 How is DataLiteracy.com helping companies 0:07:25 What is Data Literacy? 0:09:29 Overview of becoming more data literate 0:14:34 What is the state of data literacy today? 0:17:58 How to squeeze value out of your existing data technology 0:21:42 The data literacy framework 0:25:23 Enabling a flow state in analytics 0:27:08 The process for learning Data Literacy 0:30:19 Who benefits the most from becoming Data Literate? 0:33:33 Common charts to understand and ones to avoid 0:37:40 How the Data to Ink ratio impacts chart design 0:43:26 Why use charts in the first place? 0:48:26 Does animating charts help or hurt effectiveness? 0:56:11 Picking the right number of chart attributes 1:01:46 Outro Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT

A Chief Data Officer is an easily misunderstood role. On today's show Peter Nettesheim helps us understand the role of a Chief Data Officer and what they can bring to your organization. How to Connect with Peter: COMPANY WEBSITE - https://www.alignbi.com/ LINKEDIN -   / peternettesheim   EMAIL - petern@alignbi.com CHAPTERS: 0:00:00 Intro 0:01:43 Peter's Background 0:02:53 What Does a Chief Data Officer do? 0:06:21 What is the difference between Risk Management and Data Governance? 0:09:06 How to work with Risk Management team? 0:15:15 Step 1 for a Chief Data Officer - Learn 0:16:19 Step 2 for a Chief Data Officer - Develop a Strategy 0:18:04 Difference between Data Governance Council and Center of Excellence 0:24:45 How to enable innovation and avoid catastrophe 0:26:24 How to deal with data silos? 0:36:24 What is Data Warehousing? 0:43:24 Data Warehouse Alternatives 0:46:25 Using APIs to improve data quality 0:50:19 Who authorizes changes to data structures? 0:52:32 What is real-time analytics? 0:58:39 How to reach Peter / Align BI 0:59:38 How do you define data science? 1:01:19 Outro Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT

The languages you learn as a data scientist are important to the path your career will take. In this interview Eric Stone (head of Data Science at Flipside Crypto) shares his insights into what languages are popular and you should consider for your data science career. Connect with Eric Stone: - TWITTER:   / flipsidecrypto   ,   / theericstone   - COMPANY WEBSITE: https://www.flipsidecrypto.com/ CHAPTERS: 0:00:00 Intro 0:01:11 How to earn crypto by writnig SQL 0:03:07 What is a Crypto protocol? 0:10:54 What problem does Blockchain solve? 0:12:40 How did Eric become a Data Scientist? 0:17:22 What's the difference between Data Science and Data Analytics? 0:21:43 What should new Data Pros focus on? 0:34:17 Advantages of R over Python for Data Visualization 0:38:48 Are Jupyter Notebooks Really Used in Production? 0:41:08 Which database platforms should Data Scientists learn? 0:44:34 What soft skills are important for Data Scientists to learn? 0:46:11 What a Data Science interview is like from a hiring manager 0:49:41 What is Data Science? 0:50:14 Outro Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT

James Mission shares insights on how his new company is providing an analytics platform for crypto currencies and his journey to a director of data analytics Connect with James: COMPANY WEBSITE: https://www.flipsidecrypto.com/ FLIPSIDE CRYPTO VELOCITY APP: https://app.flipsidecrypto.com/velocity FLIPSIDE CRYPTO DISCROD COMMUNITY:   / discord   Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/YT CHAPTERS: 0:00:00 Intro 0:01:23 The interview hack James uses 0:03:30 Transitioning from computer science to data engineering 0:08:30 Developing data presentation skills 0:11:45 Learning the Microsoft BI stack 0:16:43 Building Salesforce Analytics by Hand 0:18:29 How to measure success of data products 0:26:20 Building a Data Culture in a Machine Learning Focused Company 0:29:49 What is Real-Time Analytics? 0:47:38 How to work with cyrptocurreny data 0:49:48 Using Snowflake for Big Data 0:56:30 What Data Platforms to Focus on in 2021 1:02:58 How to Get a Data Engineering Job 1:10:20 Interviewing at Facebook 1:20:22 What is Data Science? 1:21:31 Focus Areas for Data Pros 1:24:39 Outro

Behfar Jahanshahi shares his insights into building one of the most awarded data consulting companies in the world and how they hire differently. Connect with Behfar: LINKEDIN:   / behfar   TWITTER:   / behfarj   COMPANY WEBSITE: https://interworks.com/ Learn data skills at our academy and elevate your career. Start for free at https://ftdacademy.com/yt CHAPTERS: 0:00:00 Intro 0:01:07 What is Interworks 0:03:30 How Interworks structures it's data team 0:06:27 What skills does Interworks look for in a Data Pro? 0:10:07 Standing out in an interview examples 0:12:24 Passing on a candidate despite a stellar resume 0:18:56 How to find your passion 0:24:55 Knowing when to quit your job 0:28:07 How to preserve your company culture as you grow 0:32:33 How to choose which tech to learn 0:37:43 What new data platforms should someone learn? 0:43:39 What is Data Science? 0:50:06 How to get hired in data