Executive Development Programme in Data Analytics: Practical Applications
-- ViewingNowThe Executive Development Programme in Data Analytics: Practical Applications is a certificate course designed to empower professionals with essential data analytics skills. With the exponential growth of data, there's an increasing demand for experts who can interpret and apply data-driven insights in strategic decision-making.
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โข Introduction to Data Analytics: Understanding Data Analytics, its importance, and applications. Data Collection, Data Preparation, Data Analysis, and Data Visualization. Big Data and its significance.
โข Data Analysis Tools and Technologies: Overview of popular Data Analysis tools like Excel, Tableau, Power BI, and programming languages like Python, R, and SQL. Hands-on experience with data manipulation, cleaning, and analysis.
โข Data Visualization and Storytelling: Creating interactive and dynamic data visualizations. Storytelling through Data. Identifying patterns, trends, and correlations. Communicating results to non-technical audiences.
โข Predictive Analytics and Machine Learning: Introduction to Predictive Analytics and Machine Learning. Supervised and Unsupervised Learning. Regression, Classification, and Clustering techniques. Time Series Analysis and Forecasting. Real-world applications.
โข Big Data Analytics: Understanding Big Data and its sources. Big Data Analytics tools and technologies. Hadoop, Spark, and NoSQL databases. Analyzing large datasets and extracting valuable insights. Real-world applications.
โข Data Privacy and Ethics: Data Privacy regulations and compliance. Ethical considerations in Data Analytics. Balancing data privacy and utilization.
โข Data-Driven Decision Making: Using Data Analytics for strategic decision making. Building a data-driven culture. Overcoming challenges in implementing data-driven decisions.
โข Case Studies and Practical Applications: Applying Data Analytics concepts and techniques to real-world scenarios. Identifying business problems and proposing data-driven solutions. Capstone project.
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