Palin Analytics : #1 Training institute for Data Science & Machine Learning
New Announcement! Upcoming batch of Data Science from 25th Aug at 10:00 AM.
Master In Power BI
Unlock the power of data analytics with our PowerBI and SQL Training in Delhi Gurgaon! This comprehensive course is designed for data enthusiasts and professionals seeking in-depth training in PowerBI and SQL. Dive into the world of data visualization, harnessing the capabilities of PowerBI, and mastering SQL for seamless data analysis.
Learn to leverage industry-leading tools such as SQL, Power BI understand how to extract actionable insights from complex datasets.
- English
- English, Hindi
Upcoming Batch !!!
Starting from Upcoming Saturday
10:00 am – 2:00 pm
- 90 Hours Online Classroom Sessions
- 11 Module 04 Projects 5 MCQ Test
- 6 Months Complete Access
- Access on Mobile and laptop
- Certificate of completion
65,000 Students Enrolled
What we will learn
- Connection, Navigation, Data Sources
- Data Extraction, Data Prep
- Data Pre-Processing
- Exploratory Data Analytics
- Data Wrangling
- Data Cleansing
- Data Munging
- Statistics For Business Analytics
- Data Analytics
- Strategic Decisions Making
- Data Visualization
Exploring Master in Power BI Training in Gurgaon?
Learning both Power BI and SQL can significantly enhance your skills as a data analyst and Business Analyst, as they serve complementary roles in the data analysis process, training imparted by Palin Analytics Gurgaon will be the best fit as It is a powerful data visualization tool that allows you to create interactive and dynamic visualizations from your data. Power BI makes it easy to explore and present insights in a visually compelling manner. It excels in visual analytics, enabling you to create a wide range of charts, dashboards, and reports. Power BI strength lies in its ability to convey complex insights through interactive visualizations.
In summary, learning PowerBI and SQL equips you with a comprehensive skill set for data analysis. SQL helps you manage and manipulate data efficiently, while PowerBI empowers you to visually communicate insights, making you a well-rounded and effective data analyst.
Who can go for this?
PowerBI training is designed to be accessible to individuals with varying levels of technical expertise, from beginners to advanced users. The training typically covers the basics of using PowerBI, as well as advanced features for creating complex visualizations and dashboards. Whether you are looking to advance your career, enhance your analytical skills, or simply explore the world of data visualization, PowerBI training can be a valuable investment.
Want to discuss your roadmap to be a Data Analyst?
Are you interested in pursuing a career as a data analyst, it’s essential to create a roadmap that outlines the key steps and milestones along the way. Becoming a data analyst using PowerBI and SQL involves acquiring a combination of technical and analytical skills. Join us for an inspiring conversation in our head office which is in gurgaon where we will deep dive into your own journey and discuss the clear cut roadmap to become a business analyst. Let’s start the journey to be a data scientist in the exciting world of data science together!
Advantages
Countless Batch Access
Learn from anywhere
Industry Endorsed Curriculum
Industry Expret Trainers
Career Transition Guidance
Interview Preparation Techniques
Shareable Certificate
Real-Time Projects
Class recordings
Course Mentor
aRYAN
- 10 + Batches
- 4.8 Star Rating
- 159 Students Trained
- 130+ Successfully Placed
Hi I am Aryan and I am super excited that you are reading this.
I’m thrilled to reach out to you as the lead trainer for our upcoming Business Analytics Mastery course. As someone passionate about the transformative power of data, I believe this program will not only enhance your skills but also open new doors to exciting opportunities in the world of business analytics.
From this course you will get to know how I combine my working knowledge, experience and qualification background in computer science to deliver training step by step.
Course Content
| LESSONS | LECTURES | DURATION |
|---|
Module 1: Introduction to Excel for Analytics
Overview of Excel as an analytics tool
Importance of Excel in data analysis
Excel interface and basic navigation
Module 2: Essential Excel Functions for Data Analysis
Understanding and using basic functions (SUM, AVERAGE, COUNT)
Working with mathematical and statistical functions
Text functions for data cleaning and manipulation
Logical functions (IF, AND, OR)
Module 3: Data Import and Cleaning in Excel
Importing data from various sources (CSV, Excel, databases)
Data cleaning techniques and best practices
Handling missing data
Module 4: Data Visualization in Excel
Creating basic charts (bar charts, line charts, pie charts)
Formatting and customizing charts
Using sparklines for trend analysis
Module 5: PivotTables and PivotCharts
Introduction to PivotTables
Creating PivotTables for data summarization
Building PivotCharts for visual analysis
Module 6: Advanced Excel Functions for Analytics
VLOOKUP and HLOOKUP for data retrieval
INDEX and MATCH functions
Advanced IF statements and nested functions
Using array formulas
Module 7: Data Analysis with Excel Tables
Introduction to Excel Tables
Sorting and filtering data in tables
Using structured references
Module 1: Introduction to Databases and SQL
Understanding Databases
Definition and types of databases
Relational databases
Non-relational databases
Introduction to SQL
What is SQL?
SQL history and evolution
Importance of SQL in the industry
Module 2: Basic SQL Commands
SELECT statement
Retrieving data from a single table
Filtering data using WHERE clause
Sorting data using ORDER BY clause
INSERT, UPDATE, DELETE statements
Adding, modifying, and deleting data
Data integrity considerations
Module 3: Data Types and Operators
Common SQL data types
Working with text, numeric, and date data
Arithmetic and comparison operators
Module 4: Advanced Querying
JOIN operations
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
Cross join and self-join
Subqueries
Nested queries
Correlated subqueries
Set operations
UNION, INTERSECT, EXCEPT
Module 5: Data Filtering and Aggregation
GROUP BY clause
HAVING clause
Aggregate functions (SUM, AVG, COUNT, MIN, MAX)
Module 6: Data Modification
Transactions
COMMIT and ROLLBACK statements
Constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE, CHECK)
Module 7: Views and Indexes
Creating and managing views
Indexes and their impact on performance
Module 8: Stored Procedures and Functions
Creating stored procedures
Input and output parameters
User-defined functions
Module 9: Database Security
User roles and permissions
GRANT and REVOKE statements
Securing sensitive data
Module 10: Best Practices and Optimization
Writing efficient queries
Indexing strategies
Query optimization techniques
Module 11: Introduction to NoSQL Databases
Overview of NoSQL databases
Contrasting SQL and NoSQL
Module 12: Case Studies and Real-world Applications
Analyzing real-world scenarios
Building practical solutions with SQL
Module 1: Introduction to Power BI
Overview of Power BI
Power BI ecosystem and components
Getting started with Power BI Desktop
Power BI service overview
Module 2: Data Sources and Data Transformation
Connecting to different data sources (Excel, databases, cloud services)
Loading and transforming data using Power Query Editor
Data modeling and relationships
Module 3: Power BI Desktop Essentials
Building and designing reports
Creating visuals (tables, charts, maps, etc.)
Formatting and customizing visuals
Using themes and templates
Module 4: Advanced Data Modeling
DAX (Data Analysis Expressions) fundamentals
Creating calculated columns and measures
Time intelligence functions
Hierarchies and drill-downs
Module 5: Power BI Service and Collaboration
Publishing reports to Power BI service
Creating and sharing dashboards
Setting up and managing workspaces
Collaboration features and sharing options
Module 6: Power BI Data Insights
Creating and using Quick Insights
Analyzing data trends and patterns
Building advanced analytics with AI visuals
Exploring and interpreting data insights
Module 7: Power BI Integration
Integrating Power BI with Excel
Embedding Power BI reports in other applications
Using Power BI REST API for automation
Power BI and Azure integration
Module 8: Power BI Administration and Security
Power BI Gateway setup and configuration
Managing data refresh schedules
Implementing row-level security
Monitoring and managing Power BI workspaces
Module 9: Power BI Best Practices and Optimization
Performance optimization techniques
Designing efficient data models
Report and dashboard optimization
Best practices for data visualization
Module 10: Power BI Certification and Next Steps
Overview of Power BI certifications
Exam preparation tips and resources
Continuing learning paths and resources
| TOTAL | 28 LECTURES | 84:20:00 |
|---|
What Our Students Say About Us
Palin Analytics
We are dedicated to empowering professionals as well as freshers with the skills and knowledge which is needed to upgrade in the field of Data Science. Whether you’re a beginner or a professional, our structured training programs are well designed to handle all levels of expertise.
Are you ready to explore your Data Science adventure? Watch a live recorded demo video now and discover the endless possibilities way of teaching, way of handling queries. Awaiting for you at Palin Analytics!
Student feedback
Deepika
Kushal is a good instructor for Data science. He cover all real world projects. He provided very good study materials and high support provided by him for interview prepration. Overall best online course for Data Science.
Deepak Jaiswal
This is a very good place to jump start on your focus area. I wanted to learn python with a focus on data science and i choose this online course. Kushal who is the faculty, is an accomplished and learned professional. He is a very good trainer. This is a very rare combination to find.
Instructor
Thank you Deepak…
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FAQ's
Business Analytics is a discipline that involves the use of data analysis and statistical methods to make informed business decisions and drive strategic planning. It leverages various techniques, tools, and technologies to extract actionable insights from raw data, enabling organizations to optimize their operations, identify trends, and gain a competitive advantage.
Becoming a data analyst using Tableau and SQL involves acquiring a combination of technical and analytical skills.
Along with the high quality training you will get a chance to work on real time projects as well, with a proven record of high placement support. We Provide one of the best data analytics training.
Its Live interactive training, Ask your quesries on the go, no need to wait for doubt clearing.
you will have access to all the recordings, you can go through the recording as many times as you want.
During the training and after as well we will be on the same slack channel, where trainer and admin team will share study material, data, project, assignment.
SQL (Structured Query Language) is a popular language used for managing and manipulating relational databases. The difficulty of learning SQL depends on your previous experience with programming, databases, and the complexity of the queries you want to create. Here are a few factors that can affect the difficulty of learning SQL:
Prior programming experience: If you have experience with other programming languages, you may find it easier to learn SQL as it shares some similarities with other languages. However, if you are new to programming, it may take you longer to grasp the concepts.
Familiarity with databases: If you are familiar with databases and data modeling concepts, you may find it easier to understand SQL queries. However, if you are new to databases, you may need to spend some time learning the basics.
Complexity of queries: SQL queries can range from simple SELECT statements to complex joins, subqueries, and window functions. The complexity of the queries you want to create can affect how difficult it is to learn SQL.
Overall, SQL is considered to be one of the easier programming languages to learn. It has a straightforward syntax and many resources available for learning, such as online courses, tutorials, and documentation. With some dedication and practice, most people can learn the basics of SQL in a relatively short amount of time.
you can write your questions at info@palin.co.in we will address your questions there.