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Corporate Served- Data Analytics refers to the science of analyzing raw data to make conclusions about the information. Moreover, data analytics procedures get automated into the mechanical process. It helps out in the consumption of mechanical processes through the help of data. Moreover, data analytics compasses a diverse set of data analyses. As a result of these factors demand Data Analytics Training Institute in Delhi increasing.
- However, data analytics can reduce the bottlenecks in the production units of the organization. Gaming companies use data analytics set out the reward schedule for the players who are competing in the market. Content companies also use the tantrums of data analytics for keeping, checking as well as re-organizing. Resultantly, the demand for Data Analytics Training in Delhi getting out the acceleration in demand.
Data Analytics Training in Delhi
- The course offers an overview of Big Data and helps out the candidates in assisting with different complicated procedures. Moreover, emphasizes a variety of Analytics things needed to make out organization efficient. Additionally, Data Analyst Training in Delhi increasing its demand;
Gathering out the user-relevant data for handling processes.
Conducting the data analytics using scientific methods.
Learning the techniques of quantitative analysis.
Adapting out to the real-life problems in Data Analytics.
Handling out the large amount of data related to organizational success.
- After completing the Data Analyst Online course the salary gets out in the range of Rs 1.8 lakh to Rs 11.9 lakh. Moreover, as per the reports of the ambition box, the average salary gets struck out at the rate of 15 lakh per annum.
- Getting out of a job in Data Analytics is the first step in growing out of the career in the domain of Data Analytics. In case you have no previous experience in this domain then you can go through the below-mentioned course prospects after Data Analytics Online Training;
The financial analyst is the first position that encompasses all the core components of data analytics. Moreover, this type of role can also include business analysts, investment managers, etc.
According to the latest research by the Bureau of Labor Classification, the salary expectations of a data analyst are so high in the market. As of 2020, the job category shows an average salary wage of $ 31.64.
With the evolving business world, the demand for data technology, machine learning as well as machine learning is seeking momentum. Moreover, these types of tech get integrated with the data analysis.
Overall the data analysts have multiple sets of skills as they are good at working with the numbers & reports. Moreover, they use strong presentation skills which can easily appease the customers.
Technology companies change out rapidly with the organizational procedures taking place. Departments are constantly adapting to the new changes which are taking place inside the industrial verticals.
- Undoubtedly, everyone heard about Data Analytics in modern businesses because they are responsible for handling organizational functions. Simply, data analytics is critical to handling organizational projects. As the Data Analyst training in Delhi gets completed you have to overcome the reasons behind its popularity:
The first step is the business understanding whenever any type of data comes out in front of data analysts they analyze the business situation & act according to the need of the hour.
Data analytics helps out in the exploration of data from different perspectives. Moreover, the data which gets collected from various sources need to be accessed accurately for future analysis.
Evaluating the analytic process for the further development as well as deployment functions in the organization. Moreover, we get to produce the final report & review it accordingly.
Big Data is the hottest topic going across the industrial scenario; the main reason behind it is that a huge amount of data is generated regularly. With increasing the competition in the market more & more companies are going through data analytics.
Almost every organization can adopt the new technologies which are trending in the market. Organizations have seen amazing growth due to the use of data analytics technologies.
- Data analysts are the professionals who get responsible for the senior leadership in the organization who make out strategic decisions. After completing the course from the Data Analytics training institute in Delhi you have to follow the below-mentioned primary duties:
Evaluation of business proceedings, anticipating out requirements as well as others.
Leading out the ongoing business operations for improving automation techniques.
Prioritization of new business requirements.
Effectively communicating the new insights of business to consumers & stakeholders.
Providing business solutions to the new enterprises.
- After completing the Data Analyst training in Delhi multiple organizations will get to hire out from the pool of candidates. If we talk regarding the organizations then it is Infogain Solutions Pvt Ltd, PubMatic, Serving Skill, Reliance Retail, Huquo Consulting Pvt Ltd, Wipro, CBRE, etc.
- While completing the Data Analytics Course in Delhi you get out personalized training with specialized faculty members. Moreover, you also get out 100% globally recognized training certificate which will boost the chances of getting a job in a competitive market.
- Related Courses to Data Analytics Training in Delhi
Why should you learn Data Analytics?
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Plenary for Data Analytics Certification Training
| Track | Week Days | Weekends | Fast Track |
|---|---|---|---|
| Course Duration | 40-45 Days | 7 Weekends | 8 Days |
| Hours | 1 Hrs. Per Day | 2 Hrs. Per Day | 6+ Hrs. Per Day |
| Training Mode | Classroom/Online | Classroom/Online | Classroom/Online |
Program Core Credentials
Trainer Profiles
Industry Experts
Trained Students
10000+
Success Ratio
100%
Corporate Training
For India & Abroad
Job Assistance
100%
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CURRICULUM & PROJECTS
Data Analytics Certification Training
- With our AZ-900 “Microsoft Azure fundamentals” certification Training you will learn foundational knowledge of cloud services and how those services are provided with Microsoft Azure. The exam is intended for candidates who are just beginning to work with cloud-based solutions and services or are new to Azure.
- Things you will learn:
Python Statistics for Data Science
Data Analytics Overview
Statistics Essentials For Analytics
SQL For Data Analytics
Analytics with Excel
Analytics with Tableau
Data Analytics with Power BI
- Introduction To Python:
Installation and Working with Python
Understanding Python variables
Python basic Operators
Understanding the Python blocks.
- Introduction To Variables:
Variables, expression condition and function
Global and Local Variables in Python
Packing and Unpacking Arguments
Type Casting in Python
Byte objects vs. string in Python
Variable Scope
- Python Data Type:
Declaring and usingNumeric data types
Using stringdata type and string operations
Understanding Non-numeric data types
Understanding the concept of Casting and Boolean.
Strings
List
Tuples
Dictionary
Sets
- Introduction Keywords and Identifiers and Operators
Python Keyword and Identifiers
Python Comments, Multiline Comments.
Python Indentation
Understating the concepts of Operators
- Data Structure
- What is List.
- List Creation
- List Length
- List Append
- List Insert
- List Remove
- List Append & Extend using “+” and Keyword
- List Delete
- List related Keyword in Python
- List Revers
- List Sorting
- List having Multiple Reference
- String Split to create a List
- List Indexing
- List Slicing
- List count and Looping
- List Comprehension and Nested Comprehension
- Dict Creation
- Dict Access (Accessing Dict Values)
- Dict Get Method
- Dict Add or Modify Elements
- Dict Copy
- Dict From Keys.
- Dict Items
- Dict Keys (Updating, Removing and Iterating)
- Dict Values
- Dict Comprehension
- Default Dictionaries
- Ordered Dictionaries
- Looping Dictionaries
- Dict useful methods (Pop, Pop Item, Str , Update etc.)
List
Dictionary
- Sets, Tuples and Looping Programming
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
- What is Tuple
- Tuple Creation
- Accessing Elements in Tuple
- Changinga Tuple
- TupleDeletion
- Tuple Count
- Tuple Index
- TupleMembership
- TupleBuilt in Function (Length, Sort)
- Loops
- Loops and Control Statements (Continue, Break and Pass).
- Looping techniques in Python
- How to use Range function in Loop
- Programs for printing Patterns in Python
- How to use if and else with Loop
- Use of Switch Function in Loop
- Elegant way of Python Iteration
- Generator in Python
- How to use nested IF and Else in Python
- How to use nested Loop in Python
- Use If and Else in for and While Loop
- Examples of Looping with Break and Continue Statements
- How to use IN or NOTkeywordin Python Loop.
Sets
Tuple
Control Flow
- Exception and File Handling, Module, Function and Packages
- Python Errors and Built-in-Exceptions
- Exception handing Try, Except and Finally
- Catching Exceptions in Python
- Catching Specific Exception in Python
- Raising Exception
- Try and Finally
- Opening a File
- Python File Modes
- Closing File
- Writing to a File
- Reading from a File
- Renaming and Deleting Files in Python
- Python Directory and File Management
- List Directories and Files
- Making New Directory
- Changing Directory
- Python Syntax
- Function Call
- Return Statement
- Write an Empty Function in Python –pass statement.
- Lamda/ Anonymous Function
- *argsand **kwargs
- Help function in Python
- Scope and Life Time of Variable in Python Function
- Nested Loop in Python Function
- Recursive Function and Its Advantage and Disadvantage
- Organizing python codes using functions
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Programming using functions, modules & external packages
- Map, Filter and Reduce function with Lambda Function
- More example of Python Function
Python Exception Handling
Python File Handling
Python Function, Modules and Packages
- Data Automation (Excel, SQL, PDF etc)
- Concept of Class, Object and Instances
- Constructor, Class attributes and Destructors
- Real time use of class in live projects
- Inheritance, Overlapping and Overloading operators
- Adding and retrieving dynamic attributes of classes
- Programming using Oops support
- SQL Database connection using
- Creating and searching tables
- Reading and Storing configinformation on database
- Programming using database connections
- Reading an excel file usingPython
- Writing toan excel sheet using Python
- Python| Reading an excel file
- Python | Writing an excel file
- Adjusting Rows and Column using Python
- ArithmeticOperation in Excel file.
- Plotting Pie Charts
- Plotting Area Charts
- Plotting Bar or Column Charts using Python.
- Plotting Doughnut Chartslusing Python.
- Consolidationof Excel File using Python
- Split of Excel File Using Python.
- Play with Workbook, Sheets and Cells in Excel using Python
- Creating and Removing Sheets
- Formatting the Excel File Data
- More example of Python Function
- Extracting Text from PDFs
- Creating PDFs
- Copy Pages
- Split PDF
- Combining pages from many PDFs
- Rotating PDF’s Pages
- Check Dirs. (exist or not)
- How to split path and extension
- How to get user profile detail
- Get the path of Desktop, Documents, Downloads etc.
- Handle the File System Organization using OS
- How to get any files and folder’s details using OS
Python Object Oriented Programming—Oops
Python Database Interaction
Reading an excel
Working with PDF and MS Word using Python
Complete Understanding of OS Module of Python
- Data Analysis & Visualization
- Read data from Excel File using Pandas More Plotting, Date Time Indexing and writing to files
- How to get record specific records Using Pandas Adding & Resetting Columns, Mapping with function
- Using the Excel File class to read multiple sheets More Mapping, Filling Nonvalue’s
- Exploring the Data Plotting, Correlations, and Histograms
- Getting statistical information about the data Analysis Concepts, Handle the None Values
- Reading files with no header and skipping records Cumulative Sums and Value Counts, Ranking etc
- Reading a subset of columns Data Maintenance, Adding/Removing Cols and Rows
- Applying formulas on the columns Basic Grouping, Concepts of Aggregate Function
- Complete Understanding of Pivot Table Data Slicing using iLocand Locproperty (Setting Indices)
- Under sting the Properties of Pivot Table in Pandas Advanced Reading CSVs/HTML, Binning, Categorical Data
- Exporting the results to Excel Joins:
- Python | Pandas Data Frame Inner Join
- Under sting the properties of Data Frame Left Join (Left Outer Join)
- Indexing and Selecting Data with Pandas Right Join (Right Outer Join)
- Pandas | Merging, Joining and Concatenating Full Join (Full Outer Join)
- Pandas | Find Missing Data and Fill and Drop NA Appending DataFrameand Data
- Pandas | How to Group Data How to apply Lambda / Function on Data Frame
- Other Very Useful concepts of Pandas in Python Data Time Property in Pandas (More and More)
- Introduction to NumPy: Numerical Python
- Importing NumPy and Its Properties
- NumPy Arrays
- Creating an Array from a CSV
- Operations an Array from aCSV
- Operations with NumPy Arrays
- Two-Dimensional Array
- Selecting Elements from 1-D Array
- Selecting Elements from 2-D Array
- Logical Operation with Arrays
- Indexing NumPy elements using conditionals
- NumPy’sMean and Axis
- NumPy’sMode, Median and Sum Function
- NumPy’sSort Function and More
- Bar Chart using Python MatPlotLib
- Column Chart using Python MatPlotLib
- Pie Chart using Python MatPlotLib
- Area Chart using Python MatPlotLib
- Scatter Plot Chart using Python MatPlotLib
- Play with Charts Properties Using MatPlotLib
- Export the Chart as Image
- Understanding plt. subplots () notation
- Legend Alignment of Chart using MatPlotLib
- Create Charts as Image
- Other Useful Properties of Charts.
- Complete Understanding of Histograms
- Plotting Different Charts, Labels, and Labels Alignment etc.
- Introduction to Seaborn
- Making a scatter plot with lists
- Making a count plot with a list
- Using Pandas with seaborn
- Tidy vs Untidy data
- Making a count plot with a Dataframe
- Adding a third variable with hue
- Hue and scattera plots
- Hue and count plots
- Introduction to relational plots and subplots
- Creating subplots with col and row
- Customizing scatters plots
- Changing the size of scatter plot points
- Changing the style of scatter plot points
- Introduction to line plots
- Interpreting line plots
- Visualizing standard deviation with line plots
- Plotting subgroups in line plots
- Current plots and bar plots
- Count plots
- Bar plot with percentages
- Customizing bar plots
- Box plots
- Create and interpret a box plot
- Omitting outliers
- Adjusting the whiskers
- Point plots
- Customizing points plots
- Point plot with subgroups
- Changing plot style and colour
- Changing style and palette
- Changing the scale
- Using a custom palette
- Adding titles and labels: Part 1
- Face Grids vs. Axes Subplots
- Adding a title to a face Grid object
- Adding title and labels: Part 2
- Adding a title and axis labels
- Rotating x-tics labels
- Putting it all together
- Box plot with subgroups
- Bar plot with subgroups and subplots
Pandas
NumPy
MatPlotLib
Introduction to Seaborn
Visualizing Two Quantitative Variables
Visualizing a Categorical and a Quantitative Variable
Customizing Seaborn Plots
- Data Analytics Overview
Dealing with Different Types of Data
Data Visualization for Decision making
Data Science, Data Analytics, and Machine Learning
Data Science Methodology
Data Analytics in Different Sectors
Analytics Framework and Latest trends
- Introduction to Statistics for Analytics
Sample or Population Data
The Fundamentals of Descriptive Statistics
Measures of Central Tendency, Asymmetry, and Variability
Practical Example: Descriptive Statistics
- Distributions
Estimators and Estimates
Confidence Intervals: Advanced Topics
Practical Example: Inferential Statistics
- Hypothesis Testing
Introduction
Hypothesis Testing: Let’s Start Testing!
Practical Example: Hypothesis Testing
- The Fundamentals of Regression Analysis
Subtleties of Regression Analysis
Assumptions for Linear Regression Analysis
Dealing with Categorical Data
Practical Example: Regression Analysis
- Introduction
Overview of Oracle Database 11g and related products
Overview of relational database management concepts and terminologies
Introduction to SQL and its development environments
The HR schema and the tables used in this course
Oracle Database documentation and additional resources
- Retrieve Data using the SQL SELECT Statement
List the capabilities of SQL SELECT statements
Generate a report of data from the output of a basic SELECT statement
Use arithmetic expressions and NULL values in the SELECT statement
Invoke Column aliases
Concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword
Display the table structure using the DESCRIBE command
- Usage of Single-Row Functions to Customize Output
List the differences between single row and multiple row functions
Manipulate strings using character functions
Manipulate numbers with the ROUND, TRUNC, and MOD functions
Perform arithmetic with date data
Manipulate dates with the DATE functions
- Conversion Functions and Conditional Expressions
Describe implicit and explicit data type conversion
Describe the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
Nesting multiple functions
Apply the NVL, NULLIF, and COALESCE functions to data
Usage of conditional IF THEN ELSE logic in a SELECT statement
- Aggregated Data Using the Group Functions
Usage of the aggregation functions in SELECT statements to produce meaningful reports
Describe the AVG, SUM, MIN, and MAX function
How to handle Null Values in a group function
Divide the data in groups by using the GROUP BY clause
Exclude groups of date by using the HAVING clause
- Display Data from Multiple Tables
Write SELECT statements to access data from more than one table
Join Tables Using SQL:1999 Syntax
View data that does not meet a join condition by using outer joins
Join a table to itself by using a self join
Create Cross Joins
- Usage of Sub-queries to Solve Queries
Use a Sub-query to Solve a Problem
Single-Row Sub-queries
Group Functions in a Sub-query
Multiple-Row Sub-queries
Use the ANY and ALL Operator in Multiple-Row Sub-queries
Use the EXISTS Operator
- SET Operators
Describe the SET operators
Use a SET operator to combine multiple queries into a single query
Describe the UNION, UNION ALL, INTERSECT, and MINUS Operators
Use the ORDER BY Clause in Set Operations
- Data Manipulation
Add New Rows to a Table
Change the Data in a Table
Use the DELETE and TRUNCATE Statements
How to save and discard changes with the COMMIT and ROLLBACK statements
Implement Read Consistency
Describe the FOR UPDATE Clause
- Ms Excel Basic
Creation of Excel Sheet Data
Range Name, Format Painter
Conditional Formatting, Wrap Text, Merge & Centre
Sort, Filter, Advance Filter
Different type of Chart Creations
Auditing, (Trace Precedents, Trace Dependents)Print Area
Data Validations, Consolidate, Subtotal
What if Analysis (Data Table, Goal Seek, Scenario)
Solver, Freeze Panes
Various Simple Functions in Excel(Sum, Average, Max, Min)
Real Life Assignment work
- Ms Excel Advance
- Lookup
- VLookup
- HLookup
- Column Wise
- Row Wise
- Auto Filter
- Advance Filter
- Goal Seek
- Scenario Manager
- Advance use of Data Tables in Excel
- Reporting and Information Representation
- Pivot Chat
- Slicer with Pivot Table & Chart
- Advance Functions of Excel
- Math & Trig Functions
Advance Data Sorting
Multi-level sorting
Restoring data to original order after performing sorting
Sort by icons
Sort by colours
Lookup Functions
Subtotal, Multi-Level Subtotal
Grouping Features
Consolidation With Several Worksheets
Filter
Printing of Raw & Column Heading on Each Page
Workbook Protection and Worksheet Protection
Specified Range Protection in Worksheet
Excel Data Analysis
Data Table
Pivot Table
Generating MIS Report In Excel
Text Functions
Lookup & Reference Function
Logical Functions & Date and Time Functions
Database Functions
Statistical Functions
Financial Functions
Functions for Calculation Depreciation
- MIS Reporting & Dash Board
- Reporting Analyst
- Indian Print Media Reporting
- Costing Budgeting Mis Reporting
- MIS Report For Manufacturing Company
- MIS Reporting For Store And Billing
Dashboard Background
Dashboard Elements
Interactive Dashboards
Type of Reporting In India
Audit Report
Accounting MIS Reports
HR Mis Reports
MIS Report Preparation Supplier, Exporter
Data Analysis
Product Performance Report
Member Performance Report
Customer-Wise Sales Report
Collections Report
Channel Stock Report
Prospect Analysis Report
Calling Reports
Expenses Report
Stock Controller MIS Reporting
Inventory Statement
Payroll Report
Salary Slip
Loan Assumption Sheet
Invoice Creation
- Introduction to Tableau2018
What is Tableau
Features of Tableau
Top Chart Types in Tableau
Introduction to the various File Types
Quick Introduction to the User Interface in Tableau
How to Create Data Visualization Using Tableau feature “Show Me”
Reorder & Remove Visualization Fields
How to Sort & Filter Data
How to Create a Calculated Field
How to Perform Operations using Cross-Tab
Working with Workbook Data & Worksheets
How to Create a Packaged Workbook
- Tableau Architecture & User Interface
Architecture of Tableau
Installation of Tableau Desktop
The interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane etc.)
How to Start with Tableau
- Data Preparation
Connecting to Different Data Sources
Excel
CSV
Microsoft Access
SQL server
Google Sheets
Live vs. Extract Connection
Creating Extract
Refreshing Extract
Incremental Extract
Refreshing Live
Data Source Editor
Managing Metadata and Extracts
Pivoting & Splitting
Data Interpreter : Clean dirty data
TWB vs. TWBX
- Data Visualization Principles
What is Data Visualization
Why Visualization came into the picture
Importance of Visualizing Data
Poor Visualizations versus Perfect Visualizations
Principles of Visualizations
Tufte’s Graphical Integrity Rule
Tufte’s Principles for Analytical Design
Visual Rhetoric
Goal of Data Visualization
Data Interpretation
Pivot Tables
Split Tables
Responsive Tool Tips
Radial & Lasso Selection
Right Click Filtering
Creating Calculated Fields
Logical functions
Case-if functions
ZN function
Else-if function
Ad-Hoc Calculations
Manipulating Text-Left and Right Functions
- Basic Data Visualization
Pivot Table & Heat Map
Highlight Table
Bar Charts
Line Charts
Pie Chart
Scatter Plot
Word Cloud
Tree Map
Blended Axis
Dual Axis
- Managing Your Data
Filters
Types of Filters
Dimension Filters
Measure Filters
Condition based Filters
Advanced filters using wildcards
Top & Bottom N Filtering
Filtering order of operations
Extract Filter
Data Source Filter
Context Filter
Other Filters etc
Sorting
Calculations - String, Basic, Date & Logic
Parameters
Working with Dates
Table Calculation
Discrete vs Continuous measures
Grouping Data
Groups
Sets
Hierarchies
Bins
Combined Fields
- Formatting
Size
Updating Axis
Colors
Borders
Transparency
Chart Lines
Trend Line
Forecasting
Reference Line
Mark Labels
Annotations
- Dashboard Design
Canvas Selection & Adjusting Sizes
Tiled Objects
Floating Objects
Pixel Perfect Alignment
Summary Box
Chart Titles & Captions
Adding Images & Text
Adding Background Color
Adding Shading
Adding Separator Lines
Dynamic Chart Titles
Information Icons
Creating a Story
- Advanced Data Preparation
Join
Inner
Left
Right
Full
Complex Joins
Union
Data Blending & when it is required
- Advance Data Visualization
Bar Chart
Stack Bar Chart
Bar in Bar Chart
Combo Chart
Line Chart
Single Axis
Blended Axis
Dual Axis
Dual Axis Chart
Line
Bar
Lollipop Chart
Donut
Pareto Chart
Motion Charts
Other Advanced Charts
- Advanced Filtering & Actions
Action Filters
Action Jumps
- Sharing Your Dashboards
Publishing to PDF
Exporting to Pivot Tables and Images
Exporting Packaged Workbooks
Publishing to Tableau Server
- Introduction to Power BI
Overview of BI concepts
Why we need BI
Introduction to SSBI
SSBI Tools
Why Power BI
What is Power BI
Building Blocks of Power BI
Getting started with Power BI Desktop
Get Power BI Tools
Introduction to Tools and Terminology
Dashboard in Minutes
Refreshing Power BI Service Data
Interacting with your Dashboards
Sharing Dashboards and Reports
- Power BI Desktop
Power BI Desktop
Extracting data from various sources
Workspaces in Power BI
Data Transformation
Measures and Calculated Columns
Query Editor
- Modelling with Power BI
Introduction to Modelling
Modelling Data
Manage Data Relationship
Optimize Data Models
Cardinality and Cross Filtering
Default Summarization & Sort by
Creating Calculated Columns
Creating Measures & Quick Measures
- Data Analysis Expressions (DAX)
What is DAX
Data Types in DAX
Calculation Types
Syntax, Functions, Context Options
DAX Functions
Date and Time
Time Intelligence
Information
Logical
Mathematical
Statistical
Text and Aggregate
Measures in DAX
ROW Context and Filter Context in DAX
Operators in DAX - Real-time Usage
Quick Measures in DAX - Auto validations
Power Pivot x Velocity & Vertipaq Store
In-Memory Processing: DAX Performance
- Modelling with Power BI
Introduction to Modelling
Optimize Data Models
Setup and Manage Relationships
Cardinality and Cross Filtering
Default Summarization & Sort by
Creating Calculated Columns
Creating Measures & Quick Measures
- Power BI Desktop Visualisations
How to use Visual in Power BI
What Are Custom Visuals
Creating Visualisations and Colour Formatting
Setting Sort Order
Scatter & Bubble Charts & Play Axis
Tooltips and Slicers, Timeline Slicers & Sync Slicers
Cross Filtering and Highlighting
Visual, Page and Report Level Filters
Drill Down/Up
Hierarchies and Reference/Constant Lines
Tables, Matrices & Conditional Formatting
KPI's, Cards & Gauges
Map Visualizations
Custom Visuals
Managing and Arranging
Drill through and Custom Report Themes
Grouping and Binning and Selection Pane, Bookmarks & Buttons
Data Binding and Power BI Report Server
- Introduction to Power BI Q&A and Data Insights
Why Dashboard and Dashboard vs Reports
Creating Dashboards
Configuring a Dashboard: Dashboard Tiles, Pinning Tiles
Quick Insights in Power BI
Power BI embedded and REST API
- Direct Connectivity
Custom Data Gateways
Exploring live connections to data with Power BI
Connecting directly to SQL Azure, HD Spark, and SQL Server Analysis Services/ My SQL
Introduction to Power BI Development API
Excel with Power BI: Connect Excel to Power BI, Power BI Publisher for Excel
Content packs
Update content packs
- BI and Azure ML Integrating Power
Extracting data out of Azure SQL using R
Using R, call the Azure ML web service and send it the un-scored data
Writing the output of the Azure ML model back into SQL
read scored data into Power BI using R
Publishing the Power BI file to the Power BI service
Scheduling a refresh of the data using the Personal Gateway
- Publishing and Sharing
Introduction and Sharing Options Overview
Publish from Power BI Desktop and Publish to Web
Share Dashboard with Power BI Service
Workspaces and Apps (Power BI Pro) and Content Packs (Power BI Pro)
Print or Save as PDF and Row Level Security (Power BI Pro)
Export Data from a Visualization and Publishing for Mobile Apps
- Refreshing Datasets
Understanding Data Refresh
Personal Gateway (Power BI Pro and 64-bit Windows)
Replacing a Dataset and Troubleshooting Refreshing
+ More Lessons
Mock Interviews
Projects
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+919818014543self assessment
Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals
FAQ's
Croma campus is one of the best institutes for the training of IT professional jobs. It is one of the most prestigious and certified organizations that has been associated with the top most MNCs. Croma Campus is really famous for its innovative and technical teaching methods. So, if you want to get linked with Data Analytics then do a Collab with Croma Campus.
Data Analytics is a process of examining datasets to know about the information they contain. There are a lot of works and jobs under Data Analytics. The first thing you need to do is to always keep your profile updated on LinkedIn because they are directly associated with Data Analytics. So, if you get a Data Analytics certificate you can work as Data Analyst.
Data Analytics is nowadays becoming a very important certification that can lead you to get a good job. To get any Data Analyst job you need to get a certification in Data Analytics. There is a list of things after which you can get a certificate that contains in-depth training, many simultaneous exams, live demos, and other industrial projects that can make you a perfect Data Analyst. After all this training, you can get a Data Analytics certification.
Croma Campus India program sizes a powerful training tool that can be applied in classrooms as well as in manufacturing. We offer a wide range of agendas for Live Project Data Analytics Training in Delhi under the leadership of the best industrial experts. We are always awarded for the past 10 years as the Best Data Analytics Training Institute in Delhi.
The ways to connect Croma Campus
- Phone Number: - +91-120-4155255, +91-9711526942
- Email: - info@cromacampus.com
- Address: - G-21, Sector-03, Noida (201301)
- - Build an Impressive Resume
- - Get Tips from Trainer to Clear Interviews
- - Attend Mock-Up Interviews with Experts
- - Get Interviews & Get Hired
If yes, Register today and get impeccable Learning Solutions!
Training Features
Instructor-led Sessions
The most traditional way to learn with increased visibility,monitoring and control over learners with ease to learn at any time from internet-connected devices.
Real-life Case Studies
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Assignment
Adding the scope of improvement and fostering the analytical abilities and skills through the perfect piece of academic work.
Lifetime Access
Get Unlimited access of the course throughout the life providing the freedom to learn at your own pace.
24 x 7 Expert Support
With no limits to learn and in-depth vision from all-time available support to resolve all your queries related to the course.
Certification
Each certification associated with the program is affiliated with the top universities providing edge to gain epitome in the course.
Training Certification
Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
Video Reviews
Corporate Training at Croma Campus helped our employees in getting all the required skills through an organized method of instructions. It was truly amazing getting associated with Croma campus with the amazing content delivery and constant support.
Manager at Genpact
Batch-2020
Through corporate training at Croma campus, our employees got all capabilities and knowledge that is required to achieve company goals and success. Furthermore, the training also helped in improving teamwork, employee’s satisfaction, retention, and more.
Manager at Tech Mahindra
Batch - 2021
Adding skills and certifications to employers' resume was a wise decision that helped us to increase our revenue by 200 percent and also improved our reputation in terms of quality and on-time delivery.
Manager at hCentive
Batch-2021
Croma Campus is the best place to learn with amazing support and customer services. The team is always ready to help and assist. They helped me to understand all salesforce concept and today I am working as a Salesforce Professional in a leading industry.
Training in Salesforce
Batch-2022
I did complete two courses from Croma Campus. One was web designing and the other was PHP. The mentors are so skillful and knowledgeable. They helped me to learn all concepts with ease without any hassle and I am highly satisfied with my choice.
Training in PHP
Batch-2021
Earlier, I was not sure how online training can help in building a career but the career assistance and mentorship at Croma was so good that I would like to recommend everyone to join the Croma Learning Campus and boost your confidence level too..
Training in Software Testing
Batch-2021
I am a Data Science professional and working with a leading IT industry for more than 15 years. I do have practical exposure to different Data Science services and technologies. I love to teach people having aspiring minds.
Specialization in Data Science
I am a Data Analytics professional with over 10 years of experience. I am associated with Croma campus from last two years. I have trained hundreds of students and guided them towards their career goals and enhancements.
Specialization in Data Analytics
I am a Cloud Computing expert with more than 12 years of experience in an MNC. Till date, I have trained and mentored hundreds of students and professionals globally. Working at Croma is an enriching experience and a wonderful journey too.
Specialization in Cloud Computing
Testimonials & Reviews
I was enrolled for the R programming under the guidance of Mr. Anantha Rao sir. He has a very unique way of teaching and daily presentations by the students were the main highlight of the class. Whatever he taught is actually really he
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Tinish Sharma
TCS R programming
Best training institute for learning Tableau. Anurag Mishra sir is the best trainer for learning Tableau.
Read More...Ishani
Data Analytics
Hi. I have done this course Croma campus. The trainer give the sessions very nicely nd in-depth knowledge. My experience is good throughout the learning program. Management is good. The course helped me in increasing my knowledge and c
Read More...Aadesh
Data Analytics
If you are looking to get a reputed job after SAS certification then you should go for the top which is Croma Campus. I have recently completed my SAS certification and got a placement in a reputed MNC. Moreover, the training offered o
Read More...Aakash
Data Analytics
Hi, my name is Anup Singh and I have recently completed my SAS certification from Croma Campus. I am fully satisfied after getting a world-class experience at affordable costs. Besides offering out the training they also guided me rega
Read More...Anup Singh
Data Analytics
Hi, my name is Manoj Diwakar I have recently completed our Microsoft Excel VBA Certification from Croma Campus Pvt Ltd. It helps out me in clearing the doubts related to training and prepares me for further job interviews.
Read More...Manoj Diwakar
Data Analytics
Croma Campus is a very nice training center. I have taken SPSS training in Croma Campus. They are very experienced and the way of teaching is very good. I got the job based on training; it was my great experience at Croma Campus. All t
Read More...Aanav
Data Analytics
Hi, my name is Neelam. I currently work as a Microsoft Excel at HCL. My interview in this company was scheduled by Croma Campus as I have done 2 months of Microsoft Advance Excel Certification Training course from it. I managed to crac
Read More...Neelam
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