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Ensuring continuous business operations during unexpected system failures is crucial, and AWS DevOps tools are built to address this need. By leveraging automation through services like AWS CloudFormation, CodePipeline, and Lambda, organizations can streamline recovery processes and minimize downtime. To gain expertise in these areas, the AWS Training in Chennai at FITA Academy offers practical, hands-on learning that prepares learners to design fault-tolerant and highly available cloud environments.

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Data Analytics Classes in Pune How Data Analytics Works — Step by Step
Here's how it generally works:
✅ 1. Data Collection
What occurs: Collect data from different sources such as websites, databases, sensors, customer interactions, or social media.
Tools: APIs, SQL, Google Analytics, CRM systems, spreadsheets.
Example: Collecting sales data from an online store.
✅ 2. Data Cleaning (Data Preparation)
What it does: Eliminate errors, complete missing values, and normalize formats. Incomplete or dirty data may result in erroneous conclusions.
Tools: Excel, Python (Pandas), R, Power Query.
Example: Resolving inconsistent date formats or eliminating duplicates within a dataset.
What it does: Understand the feel of the data—summary stats, trends, and correlations.
✅ 4. Data Analysis & Modeling
What is done: Use statistical methods or algorithms to discover patterns, make predictions, or determine relationships.
Types:
Descriptive analytics: What occurred?
Diagnostic analytics: Why did it occur?
Predictive analytics: What will probably occur?
Prescriptive analytics: Data Analytics Course in Pune What must we do?
Tools: Python (Scikit-learn), R, Excel, SPSS, SAS.
Example: Predicting future sales with regression using past data.
✅ 5. Data Visualization
What happens: Display the insights in graphs, charts, and dashboards to ensure they are intuitive to consume.
Example: Building a dashboard to illustrate monthly revenue trends.
✅ 6. Interpretation & Decision-Making
What happens: Convert insights into executable business strategies.
Product pricing
Customer segmentation
Marketing optimization
Operational improvement
Example: Identifying that an advertising campaign is more successful with email targeting and suggesting a change of strategy
Summary:
Data analytics operates by gathering, cleaning, exploring, analyzing, visualizing, and interpreting data to enable intelligent decisions.
It takes raw figures and turns them intoData Analytics Training in Pune actionable knowledge.
Would you prefer a visual infographic or flowchart of this process?

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