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Home / Data Analytics & Business Intelligence / Data Analyst Course in Vadodara
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Join our Data Analytics course in Vadodara to master essential tools and techniques. Over 3 months, engage in hands-on projects, receive expert mentorship, and benefit from comprehensive job assistance for career advancement.
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Data Scientist
Programmer Analyst
96% of participants who met the conditions got placed
98% Program Satisfaction
98% Program Completion Rate
In terms of providing cognitive approaches and consulting services, SUNY is a pioneer.
SUNY invests $6 billion yearly in development and research and has long-standing expertise in data sciences and artificial intelligence.
The goal of 360DigiTMG's partnership with SUNY is to help introduce learners in order integrated blended educational experiences with the aid of our well designed, globally recognised curriculum.
Specialist trainers – highly experienced industry experts and professors from premier engineering and B-schools.
Reputed institute – carries a legacy of training 20,000+ professionals and 10,000+ students from across the globe.
Certifications demonstrate your commitment to the profession and motivation to learn. Instill employer’s confidence in you and catch the attention of recruiters with these certificates.
Virtual Instructor-led Training (VILT)
Next Batch: 8th January: Weekday
INR 65,000 INR 45,000
Employee Upskilling
360DigiTMG offers the best Data Analytics certification courses in Vadodara. The training program equips you with an apt understanding of data processing tools like Excel, SQL/NoSQL, and Data Visualization tools like Tableau and Power BI. While SQL/NoSQL is used to work with the data stored in the Database Management software, Tableau and Power BI are used in analyzing it and presenting visual stories to end-users. Concepts such as Data Preparation, Data Cleansing, and Exploratory Data Analysis are explored in detail. Influential concepts like Data Mining of Structured (RDBMS) and Unstructured (Big Data) data, with the aid of real-life examples, are illustrated. Advanced Excel aids in data proficiency Concepts and it will help to reduce reduces working hours. What is Power BI? Power BI is the perfect tool to convert unrelated sources of data into coherent, visually immersive, and interactive insights. It uses a collection of software services, connectors, and apps to get the work done. Whether your data be an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses. With Power BI it gets easy to connect to different data sources, visualize and understand what is vital, and share. Power BI has numerous elements that all work together, but the below three points are the basic ones. - Power BI Desktop: As the name suggests is a Power BI application for Windows Desktop. - Power BI Service: An online SaaS service - Power BI Mobiles apps: This is an app special for Windows, iOS, and Android devices. What is Tableau? Tableau is a very famous and most used Data Visualization tool, and it helps in understanding the trends, insights, and patterns to other connections in Dataset. Its major task is to connect and extract the data from different stored places. Tableau specializes in pulling data from any platform or database. After the initial launch of Tableau, the ready data connectors will allow you to connect to any database. Data extracted by the above process will be connected to the data engine, Tableau desktop. Dashboards are created by Data Analysts or Data Engineer’s using the extracted data and are shared with users in the form of static files. With the help of the Tableau Server, the end-user can access files from all locations. What is No SQL? Not only SQL (No SQL) is a form of non-tabular databases that store data differently than traditional data storing databases. The databases change with respective data models. Key-value, wide-column, and graph are popular documents. It provides flexible schemas and scales easily with bigger datasets. No SQL database is used actively with - Fast-paced agile development - Storage of structured and semi-structured data - Huge volumes of data - Requirements of scale-out architecture - Application paradigms like microservices and real-time streaming What is SQL? If you are dealing with Relational Databases, then SQL is the standard language. It can be used to insert, update, delete and search database records. We can also optimize and maintain the databases with the help of SQL. There are five types of SQL queries that are widely used: Data Definition Language (DDL), Data Manipulation Language (DML), Data Control Language (DCL), Transaction Control Language (TCL), Data Query Language (DQL) With the help of SQL users can: - Access data in RBDMS systems - Describing data - It gives you access to manipulate specific data in the database. - Creating databases and tables - You can monitor who can use, see and alter the tables. What is Advance Excel? Knowledge in Excel means processing the ability to use spreadsheets, calculations, automation, and tables efficiently to process huge data for businesses. Advance Excel will make this task easier by solving complex things in Excel. For example, it can manage high amounts of data using advanced level functions and excel features like power query, advanced data filters, asap features, power map. Advance Excel aids in data proficiency and reduces working hours.
The main aim of the course is to give you an outlook towards the various techniques used in handling huge data sets via Data Analytics. Learners get to assess the applications of these technologies that are used in storing and processing huge amounts of data. This module instructs the student on the various techniques used to analyze structured and unstructured data, building visual stories using Tableau and or Power BI capabilities. This is the ideal course for professionals who want to acquire in-depth knowledge of daily used Data frameworks. The three-month Data Analytics training in Vadodara will cover the essential tools like SQL, NoSQL, Tableau, Power BI, and Advanced Excel concepts. Students will learn to store, retrieve, manipulate, and analyze large datasets stored in Database management systems like relational database management systems or document-based database systems. They will also be introduced to various concepts to represent the data on the serving layer to show results in easier and readily consumable visual formats. The course contains multiple applied case studies that enable the participants to solve complex business problems improving profitability in their companies.
Block Your Time
132+ hours
Classroom Sessions
80+ hours
Assignments
Projects
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