Software Training Institute in Chennai with 100% Placements – SLA Institute

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Business Intelligence and Data Analytics Course in OMR

(5489)
Live Online & Classroom Training
EMI
0% Interest

Our Business Intelligence and Data Analytics Training in OMR will make students learn some of the most in-demand concepts in Business Intelligence and Data Analytics like –  Core Python, Power BI Introduction, Power Query, M Language, Data Modeling etc. This curriculum will surely make students experts in the concept of Business Intelligence and Data Analytics in a shorter span of time. Our Business Intelligence and Data Analytics Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Business Intelligence and Data Analytics Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in a high-paying Data Analyst and other Business Intelligence and Data Analytics related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Business Intelligence and Data Analytics covers all topics that are guaranteed to give you a complete understanding of the Business Intelligence and Data Analytics Course in OMR.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
December 2024
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
December 2024
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Business Intelligence and Data Analytics Course in OMR

The primary objective of our Business Intelligence and Data Analytics Course in OMR is to make enrolled candidates experts in Business Intelligence and Data Analytics. This Business Intelligence and Data Analytics Course will make students grow into successful and most in-demand Data Analysts, and more. SLA Institute’s Business Intelligence and Data Analytics Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Business Intelligence and Data Analytics. So, some of those concepts are discussed below:

  • To make students well versed in fundamental concepts of Business Intelligence and Data Analytics like – Python Introduction & history, Color coding schemes, Data Visualization, Reporting Business Intelligence (BI), Query Editor User Interface, The Queries Pane etc.
  • To make students familiar with more Business Intelligence and Data Analytics like – List Functions Using Parameters with M Language, Cardinality, AutoDetect the relationship, Create a new relationship, Creating Calculated Columns, Creating Measures etc.
  • To make students knowledgeable in advanced topics as well such as – Date and Time Functions, Text Functions, Why Visualizations, Visualization types, reading CSV files with intrinsic index, converting CSV files to data frames etc.

Future Scope for Business Intelligence and Data Analytics Course in OMR

The following are the scopes available in the future for the Business Intelligence and Data Analytics Course:

  • Cloud Computing and Data Warehousing: Leveraging cloud platforms for scalable storage and computing power for data analytics.
  • Self-Service BI: Empowering non-technical users to perform data analysis and create their own reports and dashboards.
  • Data Democratization: Making data and insights accessible to all levels within an organization to promote data-driven decision-making.
  • Enhanced Data Visualization: Creating more interactive and insightful visual representations of data.

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SLA builds your future with comprehensive coursework and unparalleled placement support.
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Project Practices on Business Intelligence and Data Analytics Training

Project 1Customer Churn Analysis

Analyze customer churn to identify factors leading to attrition in a subscription-based model.

Project 2Operational Efficiency Dashboard

Create a dashboard to monitor and enhance operational efficiency metrics such as production rates, downtime, and resource utilization.

Project 3Healthcare Data Analysis

Examine healthcare data to uncover trends related to patient outcomes, treatment effectiveness, or disease prevalence.

Project 4Social Media Sentiment Analysis

Perform sentiment analysis on social media data to assess public opinions about brands, products, or events.

Prerequisites for learning Business Intelligence and Data Analytics Course in OMR

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Business Intelligence and Data Analytics better, However it is completely optional:

  • SQL Knowledge: Basic SQL skills for querying and managing data (e.g., SELECT, INSERT, UPDATE, DELETE).
  • Business and Analytical Insight: Ability to understand and interpret business processes and objectives.
  • Familiarity with BI Tools: Basic experience with BI tools such as Tableau, Power BI, or QlikView can be advantageous.
  • Data Literacy: Basic ability to read, interpret, and analyze data.

Our Business Intelligence and Data Analytics Course Course in OMR is fit for:

  • Students eager to excel in Business Intelligence and Data Analytics
  • Professionals considering transitioning to Business Intelligence and Data Analytics Course careers
  • IT professionals aspiring to enhance their Business Intelligence and Data Analytics Course skills
  • Data Analysts who are enthusiastic about expanding their expertise.
  • Individuals seeking opportunities in the Business Intelligence and Data Analytics Course field.

Job Profile for Business Intelligence and Data Analytics Course in OMR

After finishing the Business Intelligence and Data Analytics Course in OMR, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Business Intelligence and Data Analytics sector;

  • Business Intelligence Analyst: Business Intelligence and Data Analytics Course will train students into becoming successful Business Intelligence Analysts who will analyze and interpret data to generate actionable insights for decision-making. Create and manage BI reports and dashboards.
  • Data Analyst: Business Intelligence and Data Analytics Course will train students into skilled Data Analysts who will examine and interpret data to support data-driven decisions. 
  • Data Scientist: Business Intelligence and Data Analytics Course will make students into Data Scientist who will build advanced models and algorithms to derive insights from complex datasets. Utilize machine learning and statistical methods to forecast trends and outcomes.
  • BI Developer: The SLA Institute will turn students into skilled BI Developers who will create and maintain BI solutions such as dashboards, reports, and data warehouses. 
  • Data Engineer: The SLA Institute will provide students with enough resources that it will train them into successful Data Engineer who will develop and manage data pipelines and infrastructure. Ensure data quality and integrity and handle data processing.
  • Analytics Consultant: The SLA Institute will make students into Analytics Consultant who will offer expert advice on data strategy and analytics solutions. Collaborate with clients to understand their data needs and implement BI strategies.
  •  Data Architect: Design and oversee data structures and architectures, ensuring scalability, security, and effective integration.
  • Market Research Analyst: Conduct research to gauge consumer preferences and market trends. Analyze data to provide insights on market opportunities and strategies.
  • Financial Analyst: Assess financial data to aid investment decisions, budgeting, and financial planning. Generate financial reports and forecasts.
  • Operations Analyst: Review operational data to enhance business processes and efficiency. Develop reports and recommendations to optimize operations.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Business Intelligence and Data Analytics Course FAQ

How do Business Intelligence (BI) and Data Analytics differ?
  • Business Intelligence (BI): BI centers on gathering, integrating, analyzing, and presenting business data to aid decision-making. It typically involves creating dashboards, reports, and visualizations to track and evaluate business performance and historical trends.
  • Data Analytics: Data Analytics focuses on in-depth analysis and interpretation of data to identify patterns, trends, and insights. It includes methods like statistical analysis, predictive modeling, and machine learning to generate forecasts and recommendations based on data.
What are some popular data visualization tools used in BI, and what are their distinguishing features?
  • Tableau: Renowned for its advanced data visualization capabilities and intuitive interface, Tableau enables users to build interactive and shareable dashboards and reports.
  • Power BI: Developed by Microsoft, Power BI integrates seamlessly with other Microsoft products and offers extensive functionalities for data visualization and reporting, including real-time data updates.
  • QlikView/Qlik Sense: Qlik’s tools offer associative data indexing, which allows users to explore data dynamically and gain insights from various data sources.
  • Excel: Although not a specialized BI tool, Excel is commonly used for basic charts, graphs, and pivot tables, providing a familiar platform for initial data analysis.
What role does SQL play in Data Analytics, and why is it essential?
  • Function of SQL: SQL (Structured Query Language) is utilized for querying and managing relational databases. It enables users to extract, filter, aggregate, and join data from multiple tables.
  • Significance: SQL is crucial for accessing and handling database data, making it a fundamental tool for data retrieval, transformation, and preparation, which are vital for comprehensive data analysis and deriving actionable insights.
What are typical data preprocessing steps in data analytics?
  • Data Cleaning: Involves eliminating duplicates, fixing errors, and addressing missing values to maintain data accuracy and consistency.
  • Data Transformation: Includes processes like normalizing or standardizing data, converting data types, and aggregating data to prepare it for analysis.
  • Data Integration: Merges data from various sources or systems to create a unified view, often involving dataset merging and schema alignment.
  • Feature Engineering: The process of creating new features or modifying existing ones to improve the effectiveness of data models or to enhance the relevance of the data for analysis.
Does the SLA Institute have an EMI option available?

Yes, the SLA Institute offers EMI in payments with 0% interest.

Where is the corporate office of SLA Institute located?

The corporate office of the SLA Institute is located in K.K.Nagar.

Is it easy to learn the Business Intelligence and Data Analytics Course in OMR?

Learning the Business Intelligence and Data Analytics Course in OMR can be made easy by our experienced trainers if the students are willing to commit and give their best in learning.

How long is the Business Intelligence and Data Analytics Course in OMR?

The Business Intelligence and Data Analytics Course in OMR is 3 months.

On Average Students Rated The Business Intelligence and Data Analytics Course 4.80/5.0
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