Azure Machine Learning Webinar 
User Pilot
JULY 14, 2024
As you advance to this position, you can also choose to transition into a data analyst or BI consultant role depending on your interest: Data Scientist : If you’re passionate about statistics, machine learning, and predictive modeling, you may transition into a data scientist role. Consider courses on DataCamp or Codecademy.
User Pilot
JULY 25, 2024
To excel, leverage resources like books (e.g., “Naked Statistics”), webinars (Userpilot Events, BrightTALK), blogs (Userpilot Blog, Kaggle), and podcasts (The Analytics Power Hour). Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis.
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User Pilot
JULY 25, 2024
To excel, leverage resources like books (e.g., “Python for Data Analysis”), webinars (Data Science Salon, BrightTALK), blogs (Data Science Central, KD Nuggets), podcasts (Lex Fridman Podcast, Data Skeptic), and certifications (Senior Data Scientist (SDS), Microsoft Certified: Azure Data Scientist Associate, etc.).
User Pilot
JULY 21, 2024
However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets.
User Pilot
JULY 21, 2024
Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. You should deepen your technical skills in programming languages (Python, R) and data analysis tools (SQL, machine learning libraries) or contribute to data science projects alongside senior data scientists.
User Pilot
JULY 24, 2024
To excel, leverage resources like books (e.g., “Data Analytics Made Accessible”), webinars (Userpilot, BrightTALK), blogs (Userpilot Blog, Mode Analytics), podcasts (The Data Chief Podcast), and certifications (Certified Analytics Professional (CAP), Microsoft Certified: Power BI Data Analyst Associate).
User Pilot
JULY 28, 2024
However, with the rise of cloud storage and machine learning trends, you may need to handle tasks specific to certain tools, such as: Apply machine learning algorithms to develop predictive models, automate data analysis tasks, and gain deeper insights from complex datasets. How much does a data analyst make?
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