Data Science Course Online Training - Visualpath - Best Data Science Training.pptx

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1. 91-998 9 971070 www . v isualpath.in Data Science? What are The Benefits And Key Features

2. www.visualpath.in Introduction: What is Data Science? Data Science is an interdisciplinary field that combines statistical analysis, computer science, and domain expertise to extract insights and knowledge from structured and unstructured data. The primary goal of Data Science is to identify patterns, make predictions, and inform decision-making processes. By leveraging techniques such as machine learning, data mining, and big data analytics, Data Science transforms raw data into valuable information.

3. www.visualpath.in Benefits of Data Science Improved Decision Making: Data Science provides organizations with insights that enable data-driven decision making. Operational Efficiency: By analysing data, businesses can streamline operations, reduce costs, and enhance productivity. Enhanced Customer Experience: Data Science helps in understanding customer behaviour, preferences, and feedback, allowing businesses to tailor their products and services to meet customer needs.

4. www.visualpath.in Key Features of Data Science Data Collection : The first step in Data Science is gathering data from various sources, including databases, web scraping, sensors, and social media. Data Cleaning: Raw data often contains noise, missing values, and inconsistencies. Exploratory Data Analysis (EDA): EDA involves summarizing the main characteristics of the data, often using visual methods. This step helps in understanding the data distribution, identifying patterns, and detecting anomalies.

5. www.visualpath.in Feature Engineering : This involves creating new features from existing data to improve the performance of machine learning models. It includes techniques such as scaling, encoding categorical variables, and creating interaction terms. Model Building : Using statistical and machine learning techniques, Data Scientists build models to make predictions or classify data. Common algorithms include regression, decision trees, and neural networks.

6. www.visualpath.in Deployment : The final model is deployed into production to provide real-time insights and predictions. This involves integrating the model into existing systems and monitoring its performance over time. Visualization and Reporting : Data Scientists use visualization tools such as Tableau, Power BI, and matplotlib to create dashboards and reports. These visualizations help stakeholders understand complex data and derive actionable insights.

7. www.visualpath.in Conclusion Data Science is a powerful field that transforms raw data into meaningful insights. Its benefits include improved decision-making, operational efficiency, and enhanced customer experiences. By understanding the key features of Data Science, organizations can harness the power of data to drive innovation and maintain a competitive edge in their industry.

8. CONTACT Flat no: 205, 2nd Floor, NILGIRI Block, Aditya Enclave, Ameerpet, Hyderabad-16 Visit: www.visualpath.in Mobile No: [phone] E-Mail Id :  [email protected] Data Science Course Online Training - Visualpath www.visualpath.in

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