DA DS traning.pptx. Data Science is marking its graph on a high note by expanding its width in creating great career opportunities currently. It is one of the most happening fields in business today.

Data Science is marking its graph on a high note by expanding its width in creating great career opportunities currently. It is one of the most happening fields in business today.

1. DATA KG Microcollege Product training SCIENCE & ANALYTICS

2. ELIGIBILITY M.Sc and B.Sc in relevant firld Good knowledge in Satistics Mathamatics Computer Science Passed out year 2022 - 2024

3. DATA SCIENCE Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.

4. DATA ANALYTICS Data analytics is the process of analysing raw data to find trends and answer questions. It has a broad scope across the field. This process includes many different techniques and goals that can shift from industry to industry.

5. Use of data science in modern day:- Data science helps businesses understand the market, develop new products, and make better decisions. It also enables the automation of routine tasks so employees can focus on important tasks requiring critical thinking. Many companies have already witnessed the power of data science. One such example is Netflix.

6. Use of data analytics in modern day:- Data analytics is used to turn raw data into useful information that helps businesses make better decisions and grow. It can be used in many industries, including marketing, product development, content creation, customer service, finance, logistics, and more.

7. SYLLABUS Data science Business Analytics Machine learning Advanced Data Analysis Capstone

8. Data Science Statistics: It refers to the branch of mathematics that deals with collecting, analyzing , interpreting, and presenting data. Python: It refers to a programming language that is widely used for data analysis, machine learning, and scientific computing. Data wrangling: It refers to the process of gathering, cleaning, transforming, and organizing raw data into a format that is suitable for analysis.

9. Business Analytics Tableau: It refers to a powerful data visualization software that allows users to create interactive and shareable dashboards, reports, and visualizations from various data sources. Data Warehouse: It is a central repository that stores and integrates data from various sources within an organization. Business Intelligence: BI refers to the process of collecting, analysing, and presenting data to help organizations make informed decisions.

10. Machine Learning Learning Techniques: It refer to the methods and algorithms used to train a model to recognize patterns, make predictions, or perform tasks based on data. Supervised and unsupervised machine learning: These are two main approaches used to train models and make predictions based on data

11. Advanced Data Analysis Exploratory Data Analysis: It is a crucial step in understanding and analyzing a dataset before applying any formal statistical techniques or machine learning algorithms Time Series Analysis: It is a statistical technique used to analyze and model data that is collected or recorded over time. Time series data consists of observations over period of time. Natural Language processing: It is a branch of artificial intelligence (AI) that deals with the interaction between computers and human language. Recommendation System: It is a type of information filtering system that predicts and suggests items or products that a user might be interested in based on their preferences, behavior , or past interactions.

12. Capstone Real world projects: It refers to a project that addresses a genuine problem or challenge faced by individuals, organizations, or communities in the real world Interpretation of findings networking opportunities: It refers to the process of analyzing and making sense of the results obtained from data analysis or research.

13. TOOLS Tableau: Tableau is a powerful data visualization tool used for creating interactive and shareable dashboards . user-friendly interface , which allows both technical and non-technical users to create visually appealing and insightful dashboards without requiring extensive programming knowledge . Advance SQL: Advanced SQL, or Structured Query Language , refers to the more complex and sophisticated techniques and functionalities used in manipulating and querying databases . Basic SQL helps you keep track of what items you have in stock and where they are located in your warehouse. Advance Excel A dvanced Excel skills enable users to perform more complex data analysis, modeling, and automation tasks. Power BI Power BI is a business analytics tool developed by Microsoft that helps organizations visualize and analyze their data . It allows users to connect to various data sources, both internal and external, and then transform that data into interactive visualizations and reports.

14. JOB ROLLS Data Scientist (must have great experience) Data Analytics Business analytics Machine Learning Engineer Financial Analyst Research Analyst

15. Other Points Duration : 6 months Fees : 93,000 – with interest – 1,20,000 Salary – Minimum – 2 LPA Maximum – 4 LPA

16. Certification :