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Excel for Data Analytics LIVE Classes (45+ hrs+ Live Sessions) -Total Fee: ₹10,000
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Power BI Advanced Analystmate

4-month live training, 6 hours per weekend (3 hours each on Saturday and Sunday)
Training mode: Fully Interactive Live Online class with class recording

With the help of our Power BI Advanced Analystmate course, realise the complete potential of your data. Explore the depths of analytics, data visualisation, and business intelligence. Our extensive programme will improve your Power BI skills regardless of your degree of expertise as an analyst.

With the help of our extensive Power BI Advanced Analystmate course, unleash the power of data. Learn about advanced data modelling, DAX functions, and Power Query in this programme to improve your analytics skills. Our knowledgeable educators lead you through real-world projects so you may get practical experience creating powerful dashboards and reports.

Requirement

Participate in discussion boards, network with colleagues, and engage in a collaborative learning environment. Get ongoing assistance and remain current on Power BI trends. Whether you're a novice or an experienced analyst, our Power BI Advanced Analystmate course will help you advance your career with its comprehensive insights.

MICROSOFT EXCEL 365 ONLINE TRAINING COURSE
(BASIC TO ADVANCED)

This course is designed to take you from a beginner to an advanced user of Power BI.

Whether you are aspiring Data analyst, Power BI Developer looking to unlock the power of data, this course will provide you with the skills needed to create impactful reports and dashboards.

We designed our training sessions carefully to be super-efficient. Your time is precious, and so is ours. Our aim is to get you job ready in the quickest time possible

Prerequisite: Prior knowledge of Excel is beneficial for learning Power BI but not strictly needed.

Section 1: Introduction to Power Bi

Section 2: Data Sources and Connectors

Section 4: Power BI Basics: Power Query, Modeling, and DAX

Section 5: Power BI Visuals

Section 6: Power Query: Transforming & Shaping Data

Section 6.1: Transforming & Shaping Data

Section 6.1.1: Transform Table

Section 6.1.2: Transform Columns

Section 6.1.3: Combine Data

Section 6.1.4: Split Columns

Section 6.1.5: Text Formatting Functions

Section 6.1.6: Extracting Text

Section 7: Data modeling in Power BI

Section 8: Data Analysis using DAX Functions

Section 8.1: Introduction to (DAX)

Section 8.2: DAX Aggregate Functions

Section 8.3: Counting Function Dax

Section 8.4: Logical Functions

Section 8.5: DAX Text Functions

Section 8.6: DAX Date Functions

Section 8.7: Advanced DAX Functions

Section 8.8: Time Intelligence Functions

Section 8.9: Advanced DAX Concepts

Section 8.10: CALCULATE and CALCULATETABLE Functions

Section 8.12: Filter Functions (context modification in DAX)

Section 8.13: Table Functions

Section 9: Introducing Power Bi Service

Section 9.1: Connecting to Data

Section 9.2: Administering the Power BI Service

Section 9.3: Refresh Schedules & Content administration

Section 9.4: Sharing Administration

Section 9.14: Building Paginated Reports

Section 10: Integrating AI and Machine Learning with Power BI

Section 11: dax query

Section 12: Power Bi Hands-on Real-World Projects list

Section 13: Power Bi Interview Essentials.

SECTION 1: INTRODUCTION TO POWER BI

Introduction to Power BI - Need, Importance

History - Power View, Power Query, Power Pivot

Power BI Installation and Cloud Account

Power BI Cloud and Power BI Service

Power BI Architecture and Data Access

Power BI Desktop - Instillation, Usage

Take a quick tour of the Power BI interface.

Understanding Power BI Report Designer

Report Canvas, Report Pages: Creation, Renames, View Options: Full, Fit Page, Width Scale

Report Visuals, Fields and UI Options, Focus Mode, Explore and Export Settings

Power BI Cloud Account Configuration

Course Plan - Power BI Online Training

SECTION 2: DATA SOURCES AND CONNECTORS

Explore various data connectors and their types

Connect to a variety of data sources, databases, Excel files, and cloud storage services

Direct Query Options and Real-time (LIVE) Data Access Connecting to SharePoint folders

SECTION 4: POWER BI BASICS: POWER QUERY, MODELING, AND DAX

Create and use calculated columns and measures

Basic data transformation using power query

CALCULATE Fundamental function for context modification

SECTION 5: POWER BI VISUALS

Work with advanced features like drill-through, bookmarks, and custom tooltips

Create a variety of charts and graphs, including bar charts, line charts, pie charts, and more

Explore themes for report design

Manage roles, apply conditional formatting, and configure small multiples

Visual-Level Filters and Format Options

Page Level Filters and Report Level Filters

Page-Level Filters and Column Formatting, Filters

Report Fields, Formats and Analytics

SECTION 6: POWER QUERY: TRANSFORMING & SHAPING DATA

Authentication with a data source and Manage connections

Get data in Power BI Desktop

SECTION 6.1: TRANSFORMING & SHAPING DATA

Promote or demote column headers

SECTION 6.1.1: TRANSFORM TABLE

Choose or remove columns

Filter a table (Text Filter, Number Filter and by row position)

Pivot and Unpivot columns

Grouping or summarizing rows

Data types in Power Query Dealing with errors in Power Query

Transpose a table and Reverse rows

SECTION 6.1.2: TRANSFORM COLUMNS

Working with duplicate values

Sort columns and Rename columns

Fill values in a column

Replace values and errors

Move columns

Add an index column

Add a column from examples

Add a conditional column

Add a custom column

Append queries

SECTION 6.1.3: COMBINE DATA

Merge queries

Combine Files

SECTION 6.1.5: TEXT FORMATTING FUNCTIONS

SECTION 6.1.4: SPLIT COLUMNS

SECTION 6.1.6: EXTRACTING TEXT

SECTION 7: DATA MODELING IN POWER BI

Modeling view user interface

Hide table and column form Data model

Display Folder

Understanding Of Dimension table & Fact table

Star schema data models

Types of cardinalities Managing relationships in Power BI

SECTION 8: DATA ANALYSIS USING DAX FUNCTIONS

SECTION 8.1: INTRODUCTION TO (DAX)

Overview of Data Analysis Expressions (DAX)

Create and use calculated columns and measures

Understanding the Importance of Data Modeling and Data Visualization

Filter Context & Row Context

SECTION 8.2: DAX AGGREGATE FUNCTIONS

Introduction to DAX Aggregate Functions

CALCULATE Fundamental function for context modification

SUM, SUMX, MIN, MAX, and AVERAGE Functions

SECTION 8.3: COUNTING FUNCTION DAX

COUNT, COUNTA, COUNTAX, COUNTROWS, COUNTX, COUNTBLANK & DISTINCTCOUNT

SECTION 8.4: LOGICAL FUNCTIONS

Introduction to Logical Functions: AND, OR, NOT, IF, IFERROR, TRUE, False

SECTION 8.5: DAX TEXT FUNCTIONS

Text Functions: COMBINEVALUES, SEARCH, FIND, EXACT, and TRIM

CONCATENATE, REPLACE, LEFT, RIGHT, MID, LEN, SUBSTITUTE, FIXED, and FORMAT

SECTION 8.6: DAX DATE FUNCTIONS

Date Functions: MINUTE, HOUR, DAY, MONTH, QUARTER, YEAR, EDate, EOMonth

WEEKDAY, WEEKNUM, DATE, TODAY, NOW, CALENDAR, and CALENDAR AUTO

SECTION 8.7: ADVANCED DAX FUNCTIONS

MAX, MAXA, MAXX

FIRSTNONBLANKVALUE, LASTNONBLANKVALUE

GENERATESERIES, EXCEPT, All, ALLEXCEPT ALLSELECTED, SELECTEDVALUE, VALUE, ERROR, IN, UPPER, LOWER

PARENT, CHILD, PARALLELPERIOD, TopN, GROUPBY

SECTION 8.8: TIME INTELLIGENCE FUNCTIONS

TOTALYTD, TOTALQTD, TOTALMTD

DATESYTD, DATESQTD, DATESMTD

SAMEPERIODLASTYEAR, PARALLELPERIOD, PREVIOUSMONTH, NEXTMONTH

DATEDIFF, DATESBETWEEN, DATESINPERIOD, DATEADD

SECTION 8.9: ADVANCED DAX CONCEPTS

Dynamic URLs and Dynamic Data

DAX CONTAINSSTRING & CONTAINSSTRINGEXACT

DAX IN, DAX CONTAINSROW, and Overview of DAX Operators

FILTER Context in Power BI

CROSSFILTERING and Relationship Management

SECTION 8.10: CALCULATE AND CALCULATETABLE FUNCTIONS

Understanding DAX CALCULATE and DAX CALCULATETABLE

Counting Working Days between Two Dates

Lookup for Multiple Values in a Table

SECTION 8.12: FILTER FUNCTIONS (CONTEXT MODIFICATION IN DAX)

ALL, ALLEXCEPT, ALLSELECTED, KEEPFILTERS, REMOVEFILTERS, CALCULATE

VALUES, DISTINCT, RELATEDTABLE

USERELATIONSHIP, EARLIER, FILTER

SECTION 8.13: TABLE FUNCTIONS

SUMMARIZE, SUMMARIZECOLUMNS

RELATED, RELATEDTABLE.

SECTION 9: INTRODUCING POWER BI SERVICE

Introducing Power BI Service

Quick Tour of the Interface

Building Blocks of PBI Service

SECTION 9.1: CONNECTING TO DATA

Data Connecting Options

Loading Local Data to a Workspace

Centralizing Data Cleansing with Dataflows

Centralizing Data with Shared Datasets

SECTION 9.2: ADMINISTERING THE POWER BI SERVICE

Overview of Workspace Administration

Designing Workspace Structures

Workspace Creation

Workspace Settings

Assigning Workspace Roles

Using Deployment Pipelines

Understanding Data Gateways

Granting Access to Datasets

SECTION 9.3: REFRESH SCHEDULES & CONTENT ADMINISTRATION

Creating Refresh Schedules

Implementing Incremental Refresh

Creating Subscriptions

Configuring Data Alerts

On premises gateway configuration SECTION 9.4: SHARING ADMINISTRATION

Publishing & Updating App

Using Publish to Web

Giving Access to External Users

Allowing Users to Export Reports

SECTION 9.14: BUILDING PAGINATED REPORTS

Installing Power BI Report Builder

Create a blank report

Configure the report header

Create a data source and dataset

Configure the report parameter

Add textboxes to report header region

Add a table to the report

Format the table data region

Finalize the report design

SECTION 10: INTEGRATING AI AND MACHINE LEARNING WITH POWER BI

Explore features such as anomaly detection, smart narratives, Q&A visuals, and the decomposition tree

Learn how to use AI and machine learning to create more powerful and insightful reports and dashboards.

SECTION 11: DAX QUERY

DEFINE: Specify a concept or term within a context

EVALUATE: Assess the performance or significance of a process or data

MEASURE: Quantify the extent or value of a specific attribute

ORDER BY: Command to sort data in a specified sequence

START AT: Indicate the initial position within a sequence or process

VAR: Declare, assign, or manipulate a variable

COLUMN: Vertical arrangement of data in a table or spreadsheet

TABLE: Define or reference a structured set of data.

SECTION 12: POWER BI HANDS-ON REAL-WORLD

PROJECTS LIST

Sales and Revenue Analysis

Human Resources Analytics

Social Media Analytics.

SECTION 13: POWER BI INTERVIEW ESSENTIALS

Common Interview Questions: Prepare for typical Power BI interview queries

Resume Building: Learn strategies to highlight Power BI ability on your resume effectively

Career Path Exploration: Explore various Power BI career paths for informed professional decisions

Networking Strategies: Develop effective networking skills within the Power BI community.

Portfolio Development: Create a compelling Power BI portfolio to highlight practical skills and accomplishments.

Customer Reviews

Based on 3 reviews

Images

Sanjay Kapoor

Good

"Best Teacher. Lavdeep made PowerBI understandable. Great learning experience and insightful tips. Highly appreciate the guidance."

Images

Pragati Mishra

Good

"Excel Guru. Lavdeep saved me multiple times with quick and helpful solutions to Excel formula queries."

Images

Aman Gupta

Good

"Excel Formula Expert. Lavdeep solved my Excel formula issue in just 10 minutes. Great job!"

Register now

This Course is for you If You

  • 📈 Career Boost: Aiming for a significant salary increase (50%-200%) by transitioning to a high-demand IT field, specifically Data or Business Analyst.
  • 💼 Zero-to-Hero Path: Want to become a "Data Analyst or Business Analyst "without prior data analytics experience."
  • 💡 Live Mentor Access : Seek personalized guidance and master Excel concepts through live Q&A sessions with industry experts live Q&A sessions with industry experts.
  • 🌐 Wishing to transition into the field of Data Science, particularly as a Data Analyst, to stay relevant and competitive in the evolving tech landscape.
  • 🖐️ Master advanced Excel : Want to gain hands-on experience using Excel Start by exploring the different features available, such as functions, formulas, and charts.
  • 🌟 Aim to build a Data Analytics -Job ready professional profile that opens doors to lucrative career opportunities in the IT sector

Meet your coach

LAVDEEP SHARMA

Lavdeep, the Chief Mentor at Analystmate Academy, Situated in Greater Noida, Analystmate Academy offers comprehensive online training in data analytics, business intelligence, and data visualization.

He brings industry expertise honed at top corporations like Adobe, Info Edge, Mankind, Tata (TTSL), and Chrome DM.With nearly 9 years of industry experience and a proven track record of success, Lavdeep has helped over 100 people switch from non-IT careers to data analytics jobs.

Lavdeep is passionate about sharing his knowledge and empowering others with data skills. He spends his weekends conducting online Power BI and Excel training sessions, designed to be super-efficient and get you job-ready in the quickest time possible.

He is certified by Microsoft in Excel, Power BI, Azure, and Power Platform. He has also worked as a data analyst, MIS executive, business analyst, and Data Engineer, giving him a deep understanding of the data analytics field.

Lavdeep has received more than 100+ positive reviews across many learning platforms like Superprof, Urbanpro, and Teacheron.

Don't wait any longer to start your data analytics journey. Contact Lavdeep today for a free consultation!.

Our Testimonials

What Students say about us ?

"Best Teacher. Lavdeep made PowerBI understandable. Great learning experience and insightful tips. Highly appreciate the guidance."

Sanjay Kapoor
Student

"Excel Guru. Lavdeep saved me multiple times with quick and helpful solutions to Excel formula queries."

Pragati Mishra
Student

"Excel Formula Expert. Lavdeep solved my Excel formula issue in just 10 minutes. Great job!"

Aman Gupta
Student

"Amazing Teacher. Lavdeep provided a quick and right solution to my job project. Grateful for finding a platform for work-related problems."

Prafull Pandey
Student

"Best Teacher for Advanced Excel. Lavdeep is an analytic mind, excellent for Business Intelligence analysis. Highly recommend his logical and understandable teaching approach."

Rohini Goyal
Student

"Data Ninja & Excel Expert. Thanks to Lavdeep for making me proficient in Microsoft Excel & Power BI. A valuable addition to my skill set."

Azam Khan
Student

Once you complete the course, you'll experience

Hands-On Practical Learning: Dive into case studies and projects mirroring real-world scenarios used by top companies.

Industry-Aligned Content: The course covers industry-relevant content, preparing students for the demands of the data analytics job market.

Extensive Learning Toolkit: 40 hours of Live Classes with Recordings, 150+ Quizzes, 100+ Excel Assignments,.

Personalized Doubt Clearing Sessions: Individualized assistance for addressing queries

Mock Interviews: Practice with industry experts for valuable feedback.

ATS-Compliant Resumes and Profile Optimization: Learn to create job market-friendly resumes and enhance online visibility.

FREQUENTLY ASKED QUESTIONS

What is the duration of the course?

Course duration is 90 Days having all Live sessions. Every week 2 sessions.

What is the duration of the course?

Course duration is 90 Days having all Live sessions. Every week 2 sessions.

What is the duration of the course?

Course duration is 90 Days having all Live sessions. Every week 2 sessions.

What is the duration of the course?

Course duration is 90 Days having all Live sessions. Every week 2 sessions.