Palin Analytics : #1 Training institute for Data Science & Machine Learning



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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.

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₹65,000.00

₹30,000.00

 

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

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

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

TOTAL28 LECTURES84:20:00

What Our Students Say About Us

Vishal KumarVishal Kumar
09:41 15 Dec 23
Palin Analytics provides excellent support and resources throughout the Data Science Training. From comprehensive study materials to a responsive support team, I always felt well-equipped to tackle each module. The platform was user-friendly, enhancing the overall learning experience. I enrolled in Data Science course in Gurgaon location, my overall experience was awesome.
ramprakash kushwaharamprakash kushwaha
09:37 15 Dec 23
Palin Analytics’ Data Science training is a fantastic choice for anyone looking to enter or advance in the field. The comprehensive curriculum, coupled with expert instruction and practical applications, equips participants with the skills needed in today’s data-driven world. I highly recommend Palin Analytics Gurgaon for anyone serious about pursuing a career in Data Science.
Bijendra SinghBijendra Singh
09:32 15 Dec 23
I highly recommend Palin Analytics for anyone seeking top-notch data engineering training in gurgaon location. The dedication to providing quality education is evident throughout the program. The instructors at Palin Analytics are true industry experts. Their deep understanding of data engineering, coupled with their passion for teaching, creates an engaging and enriching learning experience. They are not just instructors but mentors who guide you every step of the way.The interactive nature of the classes fosters an environment of collaboration and knowledge sharing. The peer-to-peer interactions, group discussions, and collaborative projects added immense value to the learning process. It truly feels like a community of learners all striving for excellence.
Neha KashyapNeha Kashyap
08:37 15 Dec 23
The course content was exceptionally well-structured, covering all essential aspects of SAP FICO training in gurugram. From fundamentals to advanced topics, each module was presented with clarity and depth, making complex concepts easy to grasp. The hands-on exercises and real-world scenarios further enhanced my understanding.
MaddyMaddy
16:53 25 Nov 23
I am thrilled to share my profound satisfaction with the Data Engineering training program at Palin Analytics. This experience has been nothing short of exceptional, and I am genuinely grateful for the depth of knowledge and skills I’ve gained.Palin Analytics has crafted a curriculum that not only covers the fundamentals of data engineering but delves into advanced topics, ensuring a comprehensive understanding of the field. The inclusion of emerging technologies and industry-relevant tools demonstrates a commitment to staying at the forefront of the rapidly evolving data landscape.
KAVITA karnKAVITA karn
07:01 25 Nov 23
Palin Analytics goes beyond just providing education; they facilitate networking opportunities within the data engineering community. The connections I’ve made with fellow learners and industry professionals have been invaluable, opening doors to new insights and potential collaborations.As a result of this program, I feel confident in my ability to tackle complex data engineering challenges in a professional setting. The practical skills gained are directly applicable, and I can see the immediate impact on my work.
Manish KumarManish Kumar
06:48 25 Nov 23
I recently completed the Data Engineering training program with Palin Analytics, and I cannot express how impressed I am with the quality of the course and the expertise of the instructors.The course covers a wide range of topics, providing a thorough understanding of data engineering concepts and tools.Palin Analytics has built a supportive community of learners. The peer interactions and networking opportunities were enriching.I highly recommend Palin Analytics for anyone seeking top-notch data engineering training. The dedication to providing quality education is evident throughout the program.
Vardhaman KanodiaVardhaman Kanodia
06:27 25 Nov 23
I recently had the privilege of completing the Data Engineering training program at Palin Analytics, and the journey has been nothing short of transformative.The course content is exceptionally well-structured, covering a comprehensive range of data engineering principles and cutting-edge technologies. From foundational concepts to advanced techniques, the curriculum is designed to provide a holistic understanding of the field.What sets Palin Analytics apart is their commitment to practical application. The hands-on projects were instrumental in solidifying theoretical knowledge, and the real-world scenarios presented challenged me to think critically and creatively. The emphasis on practical skills ensures that graduates are not only knowledgeable but also industry-ready.
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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

4.5 OUT OF 5
4.1/5

Deepika

5/5
1 year ago

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

5/5
1 year ago

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…

Add Reviews about your experience with us.

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:

  1. 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.

  2. 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.

  3. 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.

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