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

Easy way to IT Job

Business Intelligence and Data Analytics Training

(1987)
Live Online & Classroom Training
EMI
0% Interest

Our Business Intelligence and Data Analytics Training will make students learn some of the most in-demand concepts in Business Intelligence and Data Analytics such as – Core Python, Power BI, Power Query, M Language, DAX 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 Business Intelligence 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.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
January 2025
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
January 2025
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 Training

The primary objective of our Business Intelligence and Data Analytics Course 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 Business Intelligence 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 objectives and concepts of the syllabus are discussed below:

  • To make students experts in the fundamental concepts such as – Core Python – Color coding schemes, Salient features & flavors, String handling management; Power BI – Data Visualization, Reporting Business Intelligence (BI) etc. 
  • Also, to make students well-versed in the topics such as – M Language – PIVOT Operation and Table. Pivot (), List Functions Using Parameters with M Language, Data Modeling – Data Modeling Introduction Relationship, Need of Relationship Relationship Types, Cardinality, AutoDetect the relationship etc.
  • Finally to make students experts in topics like –  Date and Time Functions, Text Functions, Logical Functions, Visualization – Visualization types, Visualization Data; Advanced Pandas Function – converting CSV files to dataframes, converting dataframes to CSV files, converting dataframes to excel file and more. 

Future Scope for Business Intelligence and Data Analytics Training

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

  • Advanced Analytics and Predictive Modeling: There is a growing emphasis on sophisticated analytics and predictive modeling to anticipate trends, enhance operational efficiency, and guide strategic decisions.
  • Integration of Artificial Intelligence (AI) and Machine Learning (ML): The integration of AI and ML with BI tools is set to advance, automating data analysis processes, improving predictive accuracy, and uncovering deeper insights.
  • Big Data Analytics: The role of big data technologies is expanding to manage and analyze extensive datasets, offering more precise and comprehensive insights.
  • Cloud-Based BI Solutions: Adoption of cloud-based BI platforms is increasing, providing scalable data storage, processing capabilities, and real-time analytics, enhancing flexibility and cost-effectiveness.

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Business Intelligence and Data Analytics Course Syllabus

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SLA Institute’s Business Intelligence and Data Analytics Course Syllabus comes with 100% placement support so students will be guaranteed a placement in an esteemed organization. In addition to that the Business Intelligence and Data Analytics Course Syllabus is also carefully curated with the help of leading professionals and experts from the IT industry with so many hours invested in it. So, everything that our students learn in the Business Intelligence and Data Analytics course is fully up-to-date to the current trends in the IT industry, which increases their chances of getting employed.

CORE PYTHON
  • Python Introduction & history
  • Color coding schemes
  • Salient features & flavors
  • String handling management
  • Native data types
  • Decision making statements
  • Looping statements
  • Function types
  • OOPs
  • Exception handling
POWER BI INTRODUCTION
  • Data Visualization
  • Reporting Business Intelligence (BI)
  • Traditional BI
  • Self-Serviced BI Cloud Based BI
  • On Premise BI
  • Power BI Products
  • Power BI Desktop (Power Query, Power Pivot Power View)
  • Flow of Work in Power BI Desktop
  • Power BI Report Server
  • Power BI Service, Power BI Mobile
  • Power BI Architecture
  • A Brief History of Power BI
POWER QUERY
  • Data Transformation
  • Benefits of Data Transformation
  • Shape or Transform Data using Power Query
  • Overview of Power Query / Query Editor
  • Query Editor User Interface
  • The Queries Pane
  • The Data View / Results Pane
  • The Query Settings Pane, Formula
  • Bar Saving the Work
  • Data types
  • Keep Errors Remove Top Rows
  • Remove Bottom Rows
  • Remove Alternative Rows
  • Remove Duplicates, Remove Blank Rows
  • Remove Errors Group Rows / Group By
M LANGUAGE
  • IF..ELSE Conditions
  • TransformColumn()
  • RemoveColumns()
  • SplitColumns()
  • ReplaceValue()
  • Table.Distinct() Options and GROUP BY Options
  • Table.Group()
  • Table.Sort() with Type Conversions
  • PIVOT Operation and Table.Pivot ().
  • List Functions Using Parameters with M Language
DATA MODELING
  • Data Modeling Introduction Relationship
  • Need of Relationship Relationship Types
  • Cardinality
  • AutoDetect the relationship
  • Create a new relationship
  • Edit existing relationships
  • Make Relationship Active or Inactive
  • Delete a relationship
DAX
  • What is DAX
  • Calculated Column, Measures
  • DAX Table and Column Name Syntax
  • Creating Calculated Columns
  • Creating Measures
  • Calculated Columns Vs Measures
  • DAX Syntax & Operators
DAX FUNCTIONS TYPES
  • Date and Time Functions
  • Text Functions
  • Logical Functions
  • Math & Statistical Functions
VISUALIZATIONS
  • Visualizing Data
  • Why Visualizations
  • Visualization types
  • Create and Format Bar and Column Charts
  • Create and Format Stacked Bar Chart Stacked Column Chart
  • Create and Format Clustered Bar Chart
  • Clustered Column Chart
  • Create and Format 100% Stacked Bar Chart 100%
  • Stacked Column Chart
  • Create and Format Pie and Donut Charts
  • Create and Format Scatter Charts
  • Create and Format Table Visual
  • Matrix Visualization
  • Line and Area Charts
  • Create and Format Line Chart, Area Chart
  • Stacked Area Chart Combo Charts
ADVANCED PANDAS FUNCTIONS
  • Group by()
  • Pivot tables()
  • Multi-indexing()
  • merge()
  • concatenate()
  • join()
  • data transformation using apply()
  • map()
  • query()
  • Resampling time series functionality
  • excel writer()
  • pipe()
  • creating dataframes
  • reading CSV files with intrinsic index
  • converting CSV files to dataframes
  • converting dataframes to CSV files
  • converting dataframes to excel file

Project Practices on Business Intelligence and Data Analytics Training

Project 1Sales Performance Dashboard

Sales Performance Dashboard: Create a dashboard to visualize sales metrics, track KPIs, and identify trends and anomalies.

Project 2Customer Segmentation

Perform clustering analysis to group customers based on buying habits and demographics to improve marketing efforts.

Project 3Financial Forecasting

Build a model to predict financial metrics like revenue, expenses, and profits using historical data.

Project 4Marketing Campaign Analysis

Marketing Campaign Analysis: Evaluate the impact of marketing campaigns on sales and customer engagement to suggest improvements.

Prerequisites for learning Business Intelligence and Data Analytics Course 

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:

  • Fundamental Programming Skills: A basic understanding of programming concepts, especially in languages like Python or R, is crucial for manipulating and analyzing data.
  • Knowledge of Databases and SQL: Familiarity with relational databases and proficiency in SQL are essential for querying and managing data effectively.
  • Proficiency in Statistics and Mathematics: A strong grasp of statistical and mathematical principles, such as probability, distributions, and hypothesis testing, is necessary for analyzing data.
  • Skills in Data Visualization: Experience with tools and techniques for creating charts and graphs is important for effectively conveying data insights.

Our Business Intelligence and Data Analytics Course is fit for:

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

Job Profile for Business Intelligence and Data Analytics Training

After finishing the Business Intelligence and Data Analytics Training, 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 placed as in the Business Intelligence and Data Analytics sector; 

  • Business Intelligence Analyst: Business Intelligence and Data Analytics Training will train students into successful Business Intelligence Analyst who Analyzes and interprets complex datasets to generate actionable insights, develop reports, and support business decision-making.
  • Data Analyst: Business Intelligence and Data Analytics Training will turn students into skilled Data Analysts who extracts, processes, and examines data to help organizations understand trends, drive decisions, and enhance performance.
  • Data Scientist: Business Intelligence and Data Analytics Training will make students into a Data Scientist who applies advanced analytics, statistical models, and machine learning techniques to interpret intricate data and guide strategic decisions.
  • BI Developer: The SLA Institute will train students into successful BI Developers who designs and manage BI solutions, including dashboards and reports, to provide insights and support strategic planning.
  • Data Engineer: The SLA Institute will train students into a skilledData Engineer who constructs and maintains data pipelines, integrates data sources, and ensures efficient data storage and retrieval.
  • Analytics Consultant: The SLA Institute creates Analytics Consultant who offers expert guidance on data analysis projects, helping organizations utilize data effectively for business enhancements.
  • Financial Analyst: Analyzes financial data to assist with budgeting, forecasting, and investment decisions, often creating financial models and reports.
  • Market Research Analyst: Examines market conditions to assess potential product or service sales and understand consumer behavior and preferences.
  • Product Analyst: Analyzes data related to product performance, user behavior, and market trends to inform product development and marketing strategies.
  • Operations Analyst: Uses data analysis to enhance operational processes, boost efficiency, and support decision-making in business operations.
  • Customer Insights Analyst: Analyzes customer data to understand behaviors, preferences, and trends, providing insights to improve customer experiences and marketing strategies.
  • Supply Chain Analyst: Examines supply chain data to optimize logistics, manage inventory, and enhance overall supply chain efficiency.

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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

What programming languages are fundamental for Business Intelligence and Data Analytics?

Key programming languages for BI and Data Analytics include Python and R. Python is favored for data manipulation, statistical analysis, and machine learning, thanks to libraries like Pandas, NumPy, and Scikit-Learn. R is well-regarded for statistical tasks and data visualization, utilizing packages like ggplot2 and dplyr. Additionally, SQL is essential for querying and managing data in relational databases.

Which BI tools are important for effective data analysis?

Important BI tools to know are Tableau, Power BI, and QlikView. Tableau and Power BI are renowned for their comprehensive data visualization features and intuitive interfaces, enabling the creation of interactive dashboards and reports. QlikView is recognized for its strong data discovery capabilities and associative data modeling. Proficiency in at least one of these tools is valuable for generating actionable insights from data.

What is the ETL process in BI and Data Analytics?

ETL stands for Extract, Transform, Load, and it consists of three main phases: Extraction, Transformation, and Loading. Extraction involves pulling data from diverse sources such as databases and spreadsheets. Transformation involves cleaning, organizing, and converting the data into a usable format. Loading is the final phase where the transformed data is loaded into a data warehouse or BI tool for subsequent analysis and reporting. Mastering ETL is essential for maintaining data quality and accessibility.

How do structured and unstructured data differ, and how are they handled in analytics?

Structured data is neatly organized and easily searchable, typically found in relational databases and spreadsheets in rows and columns. Unstructured data lacks a specific format and includes text documents, emails, social media content, and multimedia files. Structured data is usually processed with SQL and BI tools, while unstructured data often requires advanced methods such as natural language processing (NLP) and machine learning to derive valuable insights. Effective management of both data types involves using suitable tools and technologies for integration and analysis.

How many branches does the SLA Institute have at the moment?

The SLA Institute has two branches at the moment – one is in K.K.Nagar and another is in OMR, Navalur.

Is there an EMI option in the SLA Institute?

Yes, the SLA Institute has an EMI option available with 0% interest.

Is it hard to learn Business Intelligence and Data Analytics Training?

No, the SLA Institute has several trainers with years of teaching experience and modern infrastructure that will surely make students grasp the concepts effortlessly.

How long is the Business Intelligence and Data Analytics Course?

The Business Intelligence and Data Analytics Training is 3 months long.

On Average Students Rated The Business Intelligence and Data Analytics Course 4.80/5.0
(1987)
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