Data Analytics with AI
Learn Data Analytics using AI powered tools
Data Analytics is the process of collecting, cleaning, analyzing, and interpreting large sets of data to uncover meaningful insights, trends, and patterns that support better decision-making.
The use of Artificial Intelligence (AI) to automatically analyze and interpret large datasets, uncover patterns, make predictions, and support decision-making.
Duration
7/8 Months
Hours
1 Hr Daily : Monday to Friday
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Future Scope of Data Analytics
1. High Demand Across Industries : Every sector—healthcare, finance, retail, logistics, education—is integrating analytics for smarter decision-making.
Organizations will increasingly rely on data-driven culture to remain competitive.
2. Real-Time and Predictive Analytics : Traditional analytics is giving way to real-time and predictive models that enable instant decision-making.
Tools like Apache Kafka, Spark, and cloud analytics platforms will grow in use.
3. Cloud-Based Analytics : Cloud platforms (AWS, Azure, Google Cloud) are making data analytics more scalable, accessible, and cost-effective.
4. Growth in Data Governance & Ethics : With increasing data usage comes the need for data privacy, ethics, and governance.
Top Career Roles in Data Analytics
Data Analyst : Interpret data, identify trends, and support decision-making.
Business Analyst : Bridge the gap between data insights and business needs.
Data Engineer : Build and manage the infrastructure and pipelines for data generation and usage.
Quantitative Analyst (Quant) : Analyze numerical data for risk modeling, primarily in finance.
Risk Analyst : Identify and analyze areas of potential risk in business operations or investments.
Marketing Analyst : Use analytics to evaluate marketing performance and consumer behavior.
Healthcare Data Analyst : Analyze clinical data to improve healthcare delivery and policy.
Operations Analyst : Optimize organizational processes through performance data analysis.
Product Analyst : Track product performance and user behavior to guide product development.