Data Science with R  Data Analyst must be flexible with Coding in Python or R-language. Statistical and mathematical problem solver with data analyzing skills will be an added advantage. Data Science Course in Bangalore designed by Saag Technologies for students and professionals who want to build their career as a Data Analyst or Data Scientist. Data Science is one of the trending course in the present day. There a massive demand for Data Analyst or Data Scientist. Every company may be a start-up or Mnc’s looking for a Data Analyzer. Pre-requisites: You will need at least a bachelor's degree in data science or computer-related field to get your foot in the door as an entry level data scientist, although most data science careers will require a master's degree. Minimum System Requirements: CPU: Intel Core i5 (8th Gen), RAM: 8GB Storage: 256GB SSD Display: 13.3-inch FHD (1920 x 1080) FOR Data Science with R FULL COURSE CONTENT   Download

  CRM CONCEPTS What is CRM? Common business issues faced by companies today How CRM can help? What CRM brings to business? Evolution of CRM Business value of CRM What CRM means to you as a user? Customers benefiting from CRM A view of available of CRM products from IT industry Compare Salesforce.com CRM with other CRM products SALESFORCEAdministration Sales Cloud Concepts Home page, Tabs, Apps, Tab Home Pages, Record, Detail Page, Related lists and Sidebar Understanding Leads and Opportunities Adding A Lead Adding An Account Edit An Account Record Adding A Product To An Opportunity Sales ID Adding A Task Connect To Microsoft Outlook Web to lead Web to case Assignment Rules Auto response Rules Sales automation Converting A Lead Team Contacts Adding An Opportunity Adding A Contact Creating A View Activity History Standard SFDC Applications Salesforce CRM Content Chatter Salesforce Knowledge Entitlements & Service Contracts Salesforce Answers Salesforce Mobile com Sites Sales force.co

Azure Data Engineer The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. Purpose: Azure Data Engineer should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. Responsibilities: Helping stakeholders understand the data through exploration, building and maintaining secure and compliant data processing pipelines by using different tools and techniques. Azure data engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. An Azure data engineer also designs, implements, monitors, and optimizes data platforms to meet the data pipeline needs. Prerequisites: Must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and the

  Power BI is a business intelligence tool. It provide interactive visualizations and business intelligence capabilities. It is a part of microsoft power platform. It is used to create the reports and dashboards with interface simple enough to end users. Prerequisites Knowledge on Microsoft Excel Softwares: Power BI tool Platforms: Windows FOR Power BI FULL COURSE CONTENT   Download

  Installing & Running Python Installing Python 3.6 on different Platforms Python folder structure Python third party modules and installation Python Interpreter and Python Interactive Shell Python IDE Introduction Why do we need Python? Python Features Areas of Application of Python Program structure Writing First Python Program Interactive Mode Programming Script Mode Programming Int and help commands Variables, Keywords and Operators Identifiers Operators and Precedence Arithmetic, Relational and Logical operators Reserved Words and Indentation Multi-Line Statements and Comments Command Line Arguments Input and Output statements Basic Data types and Operations Numbers Strings Booleans List Tuple Dictionary Sets Accessing keys and values Indexing ,merging ,sorting and slicing Built in methods Examples Decision Making Statements If statements If else statements If-elif-else statements Nested if else statements Conditional statement Examples Loops While For Break Continue Examples

  CRM CONCEPTS What is CRM? Common business issues faced by companies today How CRM can help? What CRM brings to business? Evolution of CRM Business value of CRM What CRM means to you as a user? Customers benefiting from CRM A view of available of CRM products from IT industry Compare Salesforce.com CRM with other CRM products SALESFORCEAdministration Sales Cloud Concepts Home page, Tabs, Apps, Tab Home Pages, Record, Detail Page, Related lists and Sidebar Understanding Leads and Opportunities Adding A Lead Adding An Account Edit An Account Record Adding A Product To An Opportunity Sales ID Adding A Task Connect To Microsoft Outlook Web to lead Web to case Assignment Rules Auto response Rules Sales automation Converting A Lead Team Contacts Adding An Opportunity Adding A Contact Creating A View Activity History Standard SFDC Applications Salesforce CRM Content Chatter Salesforce Knowledge Entitlements & Service Contracts Salesforce Answers Salesforce Mobile com Sites Sales force.co