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Data Analyst Masters Program Training Course

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This Data Analyst Master’s program in collaboration with IBM will make you an expert in data analytics. In this Data Analyst certification course, you’ll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

 
  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students
  • Exclusive Hackathons and Live interaction with Certified expertIncludes live Master Classes and Ask me anything sessions
  • 220+ hours of live interactive learningLive Online classes by industry experts
  • Capstone and 13+ real-life projectsBuilt on Credit Scoring, Malicious Detection and etc.
  • LearnoVita Job Assist™Get noticed by the top hiring companies
For Business

Customized learning paths, 4x outcomes & completion rates; award-winning client support.

Online Classroom Batches Preferred

02-08-2021
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

04-08-2021
Thursday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

07-08-2021
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

07-08-2021
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹12400 ₹62000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Data Analyst Masters Program Training Overview

This Data Analyst Master’s program unitedly with IBM can make you skilled in knowledge analysis. During this Data Analyst certification course, you may learn analytics tools and techniques, the way to work with SQL databases, the languages of R and Python, the way to produce data visualizations, and the way to use statistics and prophetical analytics during business surroundings. Upon finishing this course, you may have all the abilities needed to become a roaring data Analyst.

Data Analyst Masters Program Training will:

  • Data Analyst Master's program developed unitedly with IBM can offer you in-depth experience within the booming knowledge analytics field.
  • This Data Analyst certification course can teach you the way to master descriptive and inferential statistics, hypothesis testing, multivariate analysis, knowledge mixing, knowledge extracts, and prediction.
  • Through this training, you may additionally gain experience in understanding visual image techniques mistreatment Tableau and Power metallic element, learning the way to organize knowledge and style dashboards.
  • Data Analytics Masters Program makes you to proficient in tools and systems utilized by data Analytics Professionals. It includes in-depth training on Statistics, knowledge Analytics with R, and Tableau.
  • This learning expertise blends the information of data Analytics with hands-on demos and comes via CloudLab.
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Skills You Will Gain
  • Core JSP and Servlets
  • J2EE , Struts, Spring
  • Hibernate, JDBC, Web Services
  • Advanced JSP and Servlets
  • EJB, JDO, JSF
  • Android Development
  • Servlets

Android App Developer Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Android App Developer Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

A data analyst is a person who examines data using data analysis software. By finding facts and trends, the results they extract from raw data assist their employers or clients in making vital decisions. Data analysts will collect and organize data. The work of data analysts differs based on the type of data they are dealing with Experts get benefited from substantial pay raises, as shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 3.15L
    Min
  • 6.2L
    Average
  • 12.05L
    Max
  • 4.40L
    Min
  • 8.0L
    Average
  • 14.80L
    Max
  • 4.0L
    Min
  • 7.2L
    Average
  • 14.5L
    Max
  • 5.24L
    Min
  • 9.0L
    Average
  • 12.0L
    Max

Training Options

Class Room Training

Talk to Placement Support

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Next Batch Schedule

02-08-2021 (Weekdays Regular)

04-08-2021 (Weekdays Regular)

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Online Training

₹12400₹ 62000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
25000 ₹14000

Data Analyst Masters Program Course Curriculam

Trainers Profile

Trainers are certified professionals with 13+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Analyst Masters Program Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

  • Working knowledge of Windows, Web sites and browsers & Client/server environment.
  • There are no prerequisites to attend this course but knowledge of performance testing will help.
  • Any software tester / developer, mobile application testers / developers and IT professionals can learn loadrunner performance testing.

Syllabus of Data Analyst Masters Program Online Course Download syllabus

  • Customizing common options in Excel
  • Absolute and relative cells
  • Protecting and un-protecting worksheets and cells
  • Writing conditional expressions (using IF)
  • Using logical functions (AND, OR, NOT)
  • Using lookup and reference functions (VLOOKUP, HLOOKUP, MATCH, INDEX)
  • VlookUP with Exact Match, Approximate Match
  • Nested VlookUP with Exact Match
  • VlookUP with Tables, Dynamic Ranges
  • Nested VlookUP with Exact Match
  • Using VLookUP to consolidate Data from Multiple Sheets
  • Specifying a valid range of values for a cell
  • Specifying a list of valid values for a cell
  • Specifying custom validations based on formula for a cell
  • Designing the structure of a template
  • Using templates for standardization of worksheets
  • Sorting tables
  • Using multiple-level sorting
  • Using custom sorting
  • Filtering data for selected view (AutoFilter)
  • Using advanced filter options
  • Creating subtotals
  • Multiple-level subtotals
  • Creating Pivot tables
  • Formatting and customizing Pivot tables
  • Using advanced options of Pivot tables
  • Pivot charts
  • Consolidating data from multiple sheets and files using Pivot tables
  • Using external data sources
  • Using data consolidation feature to consolidate data
  • Show Value As ( % of Row, % of Column, Running Total, Compare with Specific Field)
  • Viewing Subtotal under Pivot
  • Creating Slicers ( Version 2010 & Above)
  • Date and time functions
  • Text functions
  • Database functions
  • Power Functions (CountIf, CountIFS, SumIF, SumIfS)
  • Using auto formatting option for worksheets
  • Using conditional formatting option for rows, columns and cells
  • Relative & Absolute Macros
  • Editing Macro's
  • Goal Seek
  • Data Tables
  • Scenario Manager
  • Using Charts
  • Formatting Charts
  • Using 3D Graphs
  • Using Bar and Line Chart together
  • Using Secondary Axis in Graphs
  • Sharing Charts with PowerPoint / MS Word, Dynamically
  • (Data Modified in Excel, Chart would automatically get updated)
  • Sparklines, Inline Charts, data Charts
  • Overview of all the new features
  • Start Page
  • Show Me
  • Connecting to Excel Files
  • Connecting to Text Files
  • Connect to Microsoft SQL Server
  • Connecting to Microsoft Analysis Services
  • Creating and Removing Hierarchies
  • Bins
  • Joining Tables
  • Data Blending
  • Parameters
  • Grouping Example 1
  • Grouping Example 2
  • Edit Groups
  • Set
  • Combined Sets
  • Creating a First Report
  • Data Labels
  • Create Folders
  • Sorting Data
  • Add Totals, Sub Totals and Grand Totals to Report
  • Area Chart
  • Bar Chart
  • Box Plot
  • Bubble Chart
  • Bump Chart
  • Bullet Graph
  • Circle Views
  • Dual Combination Chart
  • Dual Lines Chart
  • Funnel Chart
  • Traditional Funnel Charts
  • Gantt Chart
  • Grouped Bar or Side by Side Bars Chart
  • Heatmap
  • Highlight Table
  • Histogram
  • Cumulative Histogram
  • Line Chart
  • Lollipop Chart
  • Pareto Chart
  • Pie Chart
  • Scatter Plot
  • Stacked Bar Chart
  • Text Label
  • Tree Map
  • Word Cloud
  • Waterfall Chart
  • Dual Axis Reports
  • Blended Axis
  • Individual Axis
  • Add Reference Lines
  • Reference Bands
  • Reference Distributions
  • Basic Maps
  • Symbol Map
  • Use Google Maps
  • Mapbox Maps as a Background Map
  • WMS Server Map as a Background Map
  • Calculated Fields
  • Basic Approach to Calculate Rank
  • Advanced Approach to Calculate Ra
  • Calculating Running Total
  • Filters Introduction
  • Quick Filters
  • Filters on Dimensions
  • Conditional Filters
  • Top and Bottom Filters
  • Filters on Measures
  • Context Filters
  • Slicing Fliters
  • Data Source Filters
  • Extract Filters
  • Create a Dashboard
  • Format Dashboard Layou
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story
  • Tableau online.
  • Overview of Tableau Server.
  • Publishing Tableau objects and scheduling/subscription.
  • 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
  • Recap and What's Next
  • Introduction to Power BI Desktop
  • Getting Data: Excel vs Power BI Desktop & Service
  • Data Structure for Q&A
  • DirectQuery vs Import Data
  • Recap and What's Next
  • Introduction to Modeling
  • Setup and Manage Relationships
  • Cardinality and Cross Filtering
  • Default Summarization & Sort by
  • Creating Calculated Columns
  • Creating Measures & Quick Measures
  • Recap and What's Next
  • Creating Visualisations
  • Color Formatting
  • Setting Sort Order
  • Scatter & Bubble Charts & Play Axis
  • Tooltips
  • Slicers, Timeline Slicers & Sync Slicers
  • Cross Filtering and Highlighting
  • Visual, Page and Report Level Filters
  • Drill Down/Up
  • Hierarchies
  • Reference/Constant Lines
  • Tables, Matrices & Conditional Formatting
  • KPI's, Cards & Gauges
  • Map Visualizations
  • Custom Visuals
  • Managing and Arranging
  • Drillthrough
  • Custom Report Themes
  • Grouping and Binning
  • Selection Pane, Bookmarks & Buttons
  • Recap and What's Next
  • ntroduction
  • Standalone Tiles
  • Data Driven Alerts
  • Quick and Related Insights
  • custom Q&A questions
  • Introduction
  • Sharing Options Overview
  • Publish from Power BI Desktop x
  • Publish to Web
  • Share Dashboard with Power BI Service
  • Workspaces and Apps (Power BI Pro)
  • Content Packs (Power BI Pro)
  • Print or Save as PDF
  • Row Level Security (Power BI Pro)
  • Export Data from a Visualization
  • Publishing for Mobile Apps
  • Export to PowerPoint
  • Sharing Options Summary
  • Understanding Data Refresh
  • Personal Gateway (Power BI Pro and 64-bit Windows)
  • Replacing a Dataset
  • Troubleshooting Refreshing
  • Options for Publishing from Excel
  • Pin Excel Elements to Power BI
  • connect to Data using Power BI Publisher/Analyze in Excel
  • Excel 2016 Publish: Upload and Export to Power BI
  • Sharing Published Excel Dashboards
  • What can Python do?
  • Why Python?
  • Good to know
  • Python Syntax compared to other programming languages
  • Python Install
  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Operators in python
  • Indentation
  • The If statement and its’ related statement
  • An example with if and it’s related statement
  • The while loop
  • The for loop
  • The range statement
  • Break &Continue
  • Assert
  • Examples for looping
  • Create your own functions
  • Functions Parameters
  • Variable Arguments
  • Scope of a Function
  • Function Documentations
  • Lambda Functions& map
  • n Exercise with functions
  • Create a Module
  • Standard Modules
  • Errors
  • Exception handling with try
  • handling Multiple Exceptions
  • Writing your own Exception
  • File handling Modes
  • Reading Files
  • Writing& Appending to Files
  • Handling File Exceptions
  • The with statement
  • New Style Classes
  • Creating Classes
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Exception Classes & Custom Exceptions
  • Iterators
  • Generators
  • The Functions any and all
  • With Statement
  • Data Compression
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Default Parameters
  • Variable Arguments
  • Specialized Sorts
  • namedtuple()
  • deque
  • ChainMap
  • Counter
  • OrderedDict
  • defaultdict
  • UserDict
  • UserList
  • UserString
  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Adding a Button
  • Entry Widgets
  • Text Widgets
  • Check buttons
  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors
  • Introduction
  • A Daytime Server
  • Clients and Servers
  • The Client Program
  • The Server Program
  • sleep
  • Program execution time
  • more methods on date/time
  • Filter
  • Map
  • Reduce
  • Decorators
  • Frozen set
  • Collections
  • Split
  • Working with special characters, date, emails
  • Quantifiers
  • Match and find all
  • character sequence and substitute
  • Search method
  • Class and threads
  • Multi-threading
  • Synchronization
  • Treads Life cycle
  • use cases
  • Introduction
  • Facebook Messenger
  • Openweather
  • Data Types
  • Introduction to Data Science Tools
  • Statistics
  • Approach to Business Problems
  • Numerical Categorical
  • R, Python, WEKA, RapidMiner
  • Introduction to Correlation Spearman Rank Correlation
  • OLS Regression – Simple and Multiple Dummy variables
  • Multiple regression
  • Assumptions violation – MLE estimates
  • Using UCI ML repository dataset or Built-in R dataset
  • Data preparation & Variable identification
  • Advanced regression
  • Parameter Estimation / Interpretation
  • Robust Regression
  • Accuracy in Parameter Estimation
  • Using UCI ML repository dataset or Built-in R dataset
  • Introduction to Logistic Regression
  • Logit Function
  • Training-Validation approach
  • Lift charts
  • Decile Analysis
  • Using UCI ML repository dataset or Built-in R dataset
  • Introduction to Cluster Techniques
  • Distance Methodologies
  • Hierarchical and Non-Hierarchical Procedure
  • K-Means clustering
  • Introduction to decision trees/segmentation with Case Study
  • Using UCI ML repository dataset or Built-in R dataset
  • Introduction to Time Series
  • Data and Analysis
  • Decomposition of Time Series
  • Trend and Seasonality detection and forecasting
  • Exponential Smoothing
  • Building R Dataset
  • Sales forecasting Case Study
  • Box – Jenkins Methodology
  • Introduction to Auto Regression and Moving Averages, ACF, PACF
  • Detecting order of ARIMA processes
  • Seasonal ARIMA Models (P,D,Q)(p,d,q)
  • Introduction to Multivariate Time-series Analysis
  • Using built-in R datasets
  • Live example/ live project
  • Using client given stock prices / taking stock price data
  • Case Study with the Data
  • Based on open set data
  • Case Study with the Data
  • Based on open set data
  • Supervised Learning Techniques
  • Conceptual Overview
  • Unsupervised Learning Techniques
  • Association Rule Mining Segmentation
  • Fraud Identification Process in Parts procuring
  • Sample data from online
  • Text Analytics
  • Sample text from online
  • Social Media Analytics
  • Sample text from online
  • Ignite Talk
  • Statement of work
  • Milestone #1 Presentation
  • Summary Report + technical report
  • Self-/peer- evaluation
  • Review another group's reports
  • Code (runs as advertised)
  • Milestone #2 Presentation ("Midterm")
  • Summary Report + technical report
  • Self-/peer- evaluation
  • Review another group's reports
  • Code (runs as advertised)
  • Milestone #3 Presentation
  • Summary Report + technical report
  • Self-/peer- evaluation
  • Review another group's reports
  • Code (runs as advertised)
  • Final Presentation to class
  • Final write-up via blog
  • Poster and video recording
  • Self-/peer- evaluation
  • Code (runs, is organized and readable)
Need customized curriculum?

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It provides a common platform to share the common people experiences, informations and harrashments all over the world and people can discuss on any topic created by only registered user.

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Employee Management System (EMS)

Create a new system to automate the regulation creation and closure process.

Mock Interviews

  • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
  • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

How Learnovita Mock Interview Works?

Android App Developer Training Objectives

  • Google Data Analytics: Google.
  • IBM Data Analyst: IBM.
  • Data Analysis and Visualization Foundations: IBM.
  • IBM Data Analytics with Excel and R: IBM.
  • IBM Data Science: IBM.
  • Introduction to Data Analytics: IBM.
  • Data Science Fundamentals with Python and SQL: IBM.
  • For graduates, the usual entry point is a degree in statistics, mathematics or a related subject involving maths, such as economics or data science.
  • Other degrees are also acceptable if they include informal training in statistics as part of the course, for instance sociology or informatics.
  • Data Analysis become one of the most high-in-demand jobs around the world.
  • As a result, a Data Analyst salary in India is significantly higher than other software related professionals.
  • R.
  • Python.
  • SQL and NoSQL.
  • It is absolutely possible to become a data analyst, even if you're starting from scratch and don't have any industry experience.
  • Some data analysts do use code in their day-to-day duties but it's typically not required or requires only a basic understanding to help clean and normalize a company's data.
  • Python jibes pretty well with data analysis as well, and therefore, it is touted as one of the most preferred language for data science.
  • Python is also known as a general-purpose programming language.
  • With the help of Python, the engineers are able to use less lines of code to complete the tasks.
  • Yes, you certainly can. If your company has Alteryx, then you will need to know pretty much zero code to pull and analyze data, and also get it into Tableau.
  • Microsoft Excel.
  • Critical Thinking.
  • R or Python–Statistical Programming.
  • Data Visualization.
  • Presentation Skills.
  • Machine Learning.
  • Be able to tell a story, but keep it Simple.
  • Pay attention to Detail.
  • Be Commercially Savvy.
  • Be Creative with Data.
  • Be a People Person.
  • Keep Learning new Tools and Skills.
  • Don't be Afraid to make Mistakes, Learn from Them.
  • Know when to Stop.
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Exam & Certification

At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
  • Participate and Complete One batch of Android App Developer Training Course
  • Successful completion and evaluation of any one of the given projects
Online Self-learning:
  • Complete 85% of the Android App Developer Certification course
  • Successful completion and evaluation of any one of the given projects
Honestly Yes, We Provide 1 Set of Practice test as part of Your Android App Developer Training course. It helps you to prepare for the actual Android App Developer Certification exam. You can try this free Android App Developer Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Android App Developer Certification Path.
  • Oracle Certified Associate (OCA)
  • Oracle Certified Professional (OCP)
  • Oracle Certified Expert (OCE)
  • Oracle Certified Master (OCM)
  • Learn About the Certification Paths.
  • Write Code Daily This will help you develop Coding Reading and Writing ability.
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Android App Developer Developers.

Android App Developer Course FAQ's

LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
  • LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
  • On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
  • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
  • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
  • More than 5400+ students placed in last year in India & Globally.
  • LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
  • LearnoVita Certification is Accredited by all major Global Companies around the World.
  • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
  • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
  • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
  • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
  • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
  • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
  • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
  • View the class presentation and recordings that are available for online viewing.
  • You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Android App Developer batch to 5 or 6 members
Learning Android App Developer can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Android App Developer. Mastering Android App Developer can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average Android App Developer Developer salary in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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