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Summary: Leveraging data skills for Financial Analysts explores how Financial Analysts can harness data skills to enhance their roles. It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and datavisualization. appeared first on Pickl.AI.
Basic knowledge of statistics is essential for data science. Statistics is broadly categorized into two types – Descriptive statistics – Descriptive statistics is describing the data. Visual graphs are the core of descriptive statistics. Communication is one of the key tenets of data science positions.
I have presented a seminar to introduce the new features and enhancements the other day. Project Search, Time Series Clustering, Multiple Excel / CSV Files Import, & more! I’m super excited to announce Exploratory v6.5! ??? link] If you prefer to read I’m going to highlight some of the most exciting ones here.
Experimental Design: Plan and execute experiments, ensuring proper randomization and control groups to gather meaningful data. DataVisualization: Create clear and informative data visualisations, such as graphs and charts, to communicate findings to non-technical stakeholders.
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