Softlogic Systems Business Intelligence and Data Analytics Course Syllabus is specifically designed for College Students, Freshers, and Job Seekers. Our Business Intelligence and Data Analytics Course Syllabus covers the BI concepts, data warehousing, ETL processes, visualization tools, predictive analytics, and reporting techniques. Our Business Intelligence and Data Analytics Course Content helps you learn Business Intelligence and Data Analytics Step by Step with real-time projects and Interview Preparations.
Business Intelligence and Data Analytics Developer Course Syllabus
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Syllabus for The Business Intelligence and Data Analytics Course
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
Conclusion
The Business Intelligence and Data Analytics Developer Course Syllabus above is for college students, people who have just graduated, and those looking for a job. Our Softlogic Systems provides a syllabus about Business Intelligence and Data Analytics Developer, including BI concepts, data warehousing, ETL processes, visualization tools, predictive analytics, and reporting techniques. After completing this syllabus, you will do projects, prepare for job interviews, and apply for jobs. By learning step by step, Business Intelligence and Data Analytics Developer will help students get a job placement. The goal is to make students learn Business Intelligence and Data Analytics Developer in a way that helps them get a job.
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FAQs
What does a business intelligence role do?
The BI analyst examines intricate data sets inside an organization to generate suggestions for expansion and enhancement. Effective data collection and interpretation techniques can make a big difference in a company’s ability to succeed. Jumpstart your career with our business intelligence courses, with placement support.
Is business intelligence a good course?
Yes, business intelligence is a great course as it equips you with skills to analyze data, make informed decisions, and drive business success. It opens up various career opportunities in data analytics, reporting, and strategic planning.
What is the scope of data analytics and business intelligence?
Data analytics and business intelligence cover a wide range of tasks, such as analyzing data to make better decisions, track performance, and spot trends. They help businesses run more smoothly, understand the market, and make smart choices for growth.
What is the scope of data analytics and business intelligence?
Data analytics and business intelligence help organizations make better decisions, improve efficiency, and plan strategically. They provide insights, predict trends, and optimize processes, leading to better results and a competitive edge in various industries.
What is data analysis useful for?
A business may increase profitability, optimize performance, and make more strategically sound decisions with the use of data analytics. Enroll for the best data analytics training in Chennai at SLA to obtain amazing careers in this tech era.
Is business analytics a high paying job?
Yes, business analytics is often a high-paying job. Professionals in this field can earn competitive salaries due to their expertise in analyzing data to drive business decisions and strategies.
Is business intelligence and analytics a good career?
Yes, business intelligence and analytics is a great career choice. It offers strong job prospects, high salaries, and the opportunity to work on impactful projects that help businesses make smarter decisions and drive growth.
Is business intelligence a good course?
Yes, business intelligence is a good course. It teaches you how to analyze data and make smart decisions, which is useful in many jobs and can lead to great career opportunities.
Is business intelligence and data analytics a good career?
Yes, business intelligence and data analytics are great careers. They offer good job opportunities, high salaries, and are in demand. Professionals in these fields help companies make smart decisions using data, making their jobs important and fulfilling.
Is business intelligence an IT job?
Business intelligence (BI) is closely related to IT but is not strictly an IT job. It involves using data and analytics to help businesses make informed decisions. While it requires technical skills and tools, it also focuses on data analysis, reporting, and strategic insights.
How is data analytics related to Power BI?
To gather, purify, transform, visualize, and analyze data to provide insightful findings and defensible judgments, a data analyst employs Power BI. Our Power BI course in Chennai helps you understand the complete concepts of data analytics.
Does business intelligence involve coding?
Business intelligence often involves some coding, especially when working with data analysis tools and writing queries. However, the level of coding required can vary depending on the specific role and tools used.
What is the scope of data analytics and business intelligence?
Data analytics and business intelligence help understand and use data to make better decisions. They are used in many industries to find patterns, improve operations, and support business growth. This field offers many job opportunities and plays a key role in business success.
Is business intelligence an IT job?
Yes, business intelligence is an IT job. It uses technology and data analysis tools to help companies make better decisions. It involves technical skills and understanding business to manage and analyze data effectively.
Is business intelligence in demand?
Yes, business intelligence is in high demand. Companies rely on BI to make data-driven decisions, improve efficiency, and gain competitive advantages, leading to strong job prospects in this field.
How is Python used for data analytics and BI?
Though there is no shortage of computer languages, Python is the language of choice for most data analysts and BI analysts. Although some data analysts utilize other programming languages, such as MATLAB, Scala, and Javascript, Python continues to be the most popular option because of its remarkable library selection, scalability, and flexibility. Our data analytics certification in Chennai is useful for all BI aspirants.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading Business Intelligence and Data Analytics course in OMR, featuring placement support.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading Business Intelligence and Data Analytics online course, featuring placement support.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading Business Intelligence and Data Analytics course in Chennai, featuring placement support.
Is SQL and PL/SQL required for business intelligence and data analytics?
All that separates a proficient SQL or PL/SQL developer from a mere data analyst is this. A data analyst’s role is to comprehend and become an expert in relational and non-relational data designs, as well as how to manipulate them using a variety of tools and platforms.





