Data Analyst Masters Program Training Course - ACTE Technologies update2024 | Updated 2025
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Data Analyst Masters Program Training Course

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1,200+ Enrolled

Rated #1 Recoginized as the No.1 Institute for Data Analyst master program training

Kickstart your career as a Data Analyst with our comprehensive Data Analyst master program training, expertly crafted to equip you with the industry-leading skills you need to excel in the field.

By enrolling in our Data Analyst master program course, you’ll develop a deep understanding of data analysis techniques and tools used in the real world. Our Data Analyst master program training is designed to make you job-ready, with expert-led training focused on the most relevant industry skills.

  • Master key tools and technologies like Excel, SQL, Python, and Power BI
  • Gain insights from industry veterans with years of experience.
  • Affordable pricing with career guidance, resume building, and interview prep
  • 100% Data Analyst training with over 500+ hiring clients offering attractive job opportunities
  • Get practical experience through Data Analyst master program training with placement
  • Work on Data Analyst master program certification projects and gain hands-on experience
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Download Syllabus

  • Course 1

    MS Excel

  • Course 2

    Tableu

  • Course 3

    Power BI

  • Course 4

    Python

  • View 5 more courses

  • Course 5

    Data Science With R

  • Course 6

    Data Science Capstone

  • Course 7

    Data Visualization & SQL for Data Analytics

  • Hands-on Project

    (Data Cleaning, Data Visualization, SQL Queries)

  • Add On

    (Recorded Video, Group Discussion, 1-on-1 Sessions)

  • Job Preparation

    (Aptitude, Resume Preparation, Mock Interview)

  • Master’s Certificate

    *Distinct certificates awarded for each course.

Upcoming Batches

17-Mar-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

19-Mar-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

22-Mar-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

23-Mar-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Have Cracked Their Dream Job in Top MNC Companies

    Outline of Data Analyst Masters Program Training

    • We train students for interviews and Offer Placements in corporate companies
    • Suitable for Graduates and Experienced Candidates from any Technical Background
    • Trainers have more than 11+ years of experience in the Data Analyst Master Programming domain
    • Outstanding Lab Facility and Infrastructure
    • We Exhibitions Students to Industry best practices with Aptitude & SoftSkills
    • Guidance for Resume & Interviews Preparation
    • We act as recruiting partners to provide Qualified candidates for top corporates in the Market Industry
    • Learning Concepts: MS Excel, Tableau, Power BI, Python, Datascience with R programming, Data Science Capstone.
    • BEGIN YOUR CAREER WITH DATA ANALYST MASTER PROGRAM THAT GETS YOU A JOB OFFER UPTO 8 LACS IN JUST 60 DAYS!
    • Classroom Batch Training
    • One To One Training
    • Online Training
    • Customized Training
    • Enroll Now

    About Data Analyst Master Program Course

    We try to cover all the topics related to Data analyst Master Programming technology. It would be your unique destination to be a Master in Data Analyst Technologies.

    Learning Data Analyst Masters Program can help open up many opportunities for your career. It is a great skill-set to have as many roles in the job market requires proficiency in Data Analyst Masters. This Data Analyst Masters Program can help you grab opportunities in top MNC Companies like Paypal, Capgemini, Accenture, Mphasis, CTS, and MindLabs all are hiring Data Analysts.

    This course will focus on the core concepts with many more advanced topics. This course is going to be one of the most comprehensive online programs on ACTE. MS Excel, Python, advanced topics Big Data Analytics Essentials; THERE IS NO PROBLEM. Every Topic will be covered.

    Best Job Oriented Topics Covered

    • MS Excel

      Python

      Getting and Transforming Data with Power BI Desktop

    • Tableau

      Datascience with R programming

      Power BI Service Visualisation Tools

    • Power BI

      Data Science Capstone

      Concepts of Excel Elements to Power BI

    A Data Analyst is someone who can handle all the data cleaning, data visualization operations. To begin a career as a Data Analyst who data analytics tools such as Hadoop, Cassandra, etc.

    A Masters Program certified Data Engineers work with multiple technologies on handling data cleaning, data visualization. They can handle more aspects of a project than average analysts. They cut costs for companies because they can do the work of many specialists alone.

    A Data analyst should be proficient in one language and have a working knowledge of R and SAS. They use the programming languages such as R and SAS for data gathering, data cleaning, statistical analysis, and data visualization, etc.

    We are happy and proud to say that we have a strong relationship with over 800+ small, mid-sized, and MNCs. Many of these companies have openings for Data Analyst. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.

    It is that being a Data analyst plays an efficient role in handling the data in an impactful way by using the tools. You need to recognize, understand, prioritize concepts of data usage using AI Algorithms. It's something any motivated engineer can do.

    • Basics of MS-Excel.
    • Guidance for Tableau Training.
    • Hands on Knowledge about Power BI.
    • Datascience with R programming
    • Data Science Capstone Concepts.

    Well, Data Engineers or Data Analyst requires basics of Coding like Python and R-Programming should know at least any one of programming knowledge of various programming technologies.

    Our courseware Program gives a hands-on approach to the students in Data Analyst Masters Program. This course deals with theory classes that teach the basics of modules followed by high intensity, Practical Sessions reflecting the current challenges that fulfill the Industrial Needs and data tools like Hadoop and Cassandra, etc.

    Yes, well-knowledged and Certified Data Analysts are in the market that exists. However, you have to be careful when assessing the skills of a Data Analyst. Being an impactful Data Engineer is not about familiarity; it's about a deep understanding of data handling tools.

    Three-Four months is long enough to learn a considerable amount of the Data Analyst Master Program. If you are already able to handle the data using AI Algorithms, then 2 months would be a generous amount of time to learn enough Data Analyst Master Program to meaningfully contribute in a professional capacity.

    Top reasons to consider a career in Data Analyst Master Program?

    • Better Productivity.
    • High Demand. The demand for Data Analyst Master Program is high.
    • Great Pay. The average salary of Data Analyst in India is around 8 LPA.
    • Creative Flexibility. You know about multiple handling of datas.
    Show More

    Key Features

    ACTE offers Data Analyst Masters Program Training in more than 27+ branches with expert trainers. Here are the key features,

    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    Authorized Partners

    ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

    Data Analyst Masters Program Course Content

    Syllabus of Microsoft Advanced Excel Course
    Module 1: Overview of the Basics of Excel
    • Customizing common options in Excel
    • Absolute and relative cells
    • Protecting and un-protecting worksheets and cells
    Module 2: Working with Functions
    • 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
    Module 3: Data Validations
    • 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
    Module 4: Working with Templates
    • Designing the structure of a template
    • Using templates for standardization of worksheets
    Module 5: Sorting and Filtering Data
    • Sorting tables
    • Using multiple-level sorting
    • Using custom sorting
    • Filtering data for selected view (AutoFilter)
    • Using advanced filter options
    Module 6: Working with Reports
    • 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)
    Module 7: More Functions
    • Date and time functions
    • Text functions
    • Database functions
    • Power Functions (CountIf, CountIFS, SumIF, SumIfS)
    Module 8: Formatting
    • Using auto formatting option for worksheets
    • Using conditional formatting option for rows, columns and cells
    Module 9: Macros
    • Relative & Absolute Macros
    • Editing Macro's
    Module 10: WhatIf Analysis
    • Goal Seek
    • Data Tables
    • Scenario Manager
    Module 11: Charts
    • 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)
    Module 12: New Features Of Excel
    • Sparklines, Inline Charts, data Charts
    • Overview of all the new features
    Syllabus of Tableau Course
    Module 1: Tableau Course Material
    • 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
    Module 2: Learn Tableau Basic Reports
    • 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
    Module 3: Learn Tableau Charts
    • 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
    Module 4: Learn Tableau Advanced Reports
    • 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
    Module 5: Learn Tableau Calculations & Filters
    • Calculated Fields
    • Basic Approach to Calculate Rank
    • Advanced Approach to Calculate Rank
    • 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
    Module 6: Learn Tableau Dashboards
    • Create a Dashboard
    • Format Dashboard Layou
    • Create a Device Preview of a Dashboard
    • Create Filters on Dashboard
    • Dashboard Objects
    • Create a Story
    Module 7: Server
    • Tableau online.
    • Overview of Tableau Server.
    • Publishing Tableau objects and scheduling/subscription
    Syllabus of Power BI Course
    Module 1: Quick Start Power BI Service
    • 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
    Module 2: Getting and Transforming Data with Power BI Desktop
    • 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
    Module 3: Modeling with Power BI
    • 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
    Module 4: Power BI Desktop Visualisations
    • 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
    Module 5: Power BI Service Visualisation Tools
    • Introduction
    • Standalone Tiles
    • Data Driven Alerts
    • Quick and Related Insights
    • Custom Q&A questions
    Module 6: Publishing and Sharing
    • 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
    Module 7: Refreshing Datasets
    • Understanding Data Refresh
    • Personal Gateway (Power BI Pro and 64-bit Windows)
    • Replacing a Dataset
    • Troubleshooting Refreshing
    Module 8: Power BI and Excel Together
    • 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
    Syllabus of Python Course
    Module 1: An Introduction to Python
    • What can Python do?
    • Why Python?
    • Good to know
    • Python Syntax compared to other programming languages
    • Python Install
    Module 2 : Beginning Python Basics
    • The print statement
    • Comments
    • Python Data Structures & Data Types
    • String Operations in Python
    • Simple Input & Output
    • Simple Output Formatting
    • Operators in python
    Module 3: Python Program Flow
    • 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
    Module 4: Functions& Modules
    • Create your own functions
    • Functions Parameters
    • Variable Arguments
    • Scope of a Function
    • Function Documentations
    • Lambda Functions& map
    • Exercise with functions
    • Create a Module
    • Standard Modules
    Module 5: Exceptions Handling
    • Errors
    • Exception handling with try
    • Handling Multiple Exceptions
    • Writing your own Exception
    Module 6: File Handling
    • File handling Modes
    • Reading Files
    • Writing& Appending to Files
    • Handling File Exceptions
    • The with statement
    Module 7: Classes In Python
    • New Style Classes
    • Creating Classes
    • Instance Methods
    • Inheritance
    • Polymorphism
    • Exception Classes & Custom Exceptions
    Module 8: Generators and iterators
    • Iterators
    • Generators
    • The Functions any and all
    • With Statement
    • Data Compression
    Module 9: Data Structures
    • List Comprehensions
    • Nested List Comprehensions
    • Dictionary Comprehensions
    • Functions
    • Default Parameters
    • Variable Arguments
    • Specialized Sorts
    Module 10: Collections
    • Namedtuple
    • Deque
    • ChainMap
    • Counter
    • OrderedDict
    • Defaultdict
    • UserDict
    • UserList
    • UserString
    Module 11: Writing GUIs in Python
    • Introduction
    • Components and Events
    • An Example GUI
    • The root Component
    • Adding a Button
    • Entry Widgets
    • Text Widgets
    • Check buttons
    Module 12: Python SQL Database Access
    • Introduction
    • Installation
    • DB Connection
    • Creating DB Table
    • INSERT, READ, UPDATE, DELETE operations
    • COMMIT & ROLLBACK operation
    • Handling Errors
    Module 13: Network Programming
    • Introduction
    • A Daytime Server
    • Clients and Servers
    • The Client Program
    • The Server Program
    Module 14: Date and Time
    • Sleep
    • Program execution time
    • More methods on date/time
    Module 15: Few more topics in-detailed
    • Filter
    • Map
    • Reduce
    • Decorators
    • Frozen set
    • Collections
    Module 16: Regular expression
    • Split
    • Working with special characters, date, emails
    • Quantifiers
    • Match and find all
    • Character sequence and substitute
    • Search method
    Module 17: Threads ESSENTIAL
    • Class and threads
    • Multi-threading
    • Synchronization
    • Treads Life cycle
    • Use cases
    Module 18: Accessing
    • Introduction
    • Facebook Messenger
    • Openweather
    Module 19: DJANGO ESSENTIAL
    Syllabus of Data Science with R Course
    Module 1: Introduction to Data Science Methodologies
    • Data Types
    • Introduction to Data Science Tools
    • Statistics
    • Approach to Business Problems
    • Numerical Categorical
    • R, Python, WEKA, RapidMiner
    Module 2 : Correlation / AssociationRegressionCategorical variables
    • 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
    Module 3:Data Preparation
    • 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
    Module 4:Logistic Regression
    • Introduction to Logistic Regression
    • Logit Function
    • Training-Validation approach
    • Lift charts
    • Decile Analysis
    • Using UCI ML repository dataset or Built-in R dataset
    Module 5:Cluster AnalysisClassification Models
    • 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
    Module 6: Introduction and to Forecasting Techniques
    • 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
    Module 7:Advanced Time Series Modeling
    • 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
    Module 8: Stock market prediction
    • Live example/ live project
    • Using client given stock prices / taking stock price data
    Module 9:Pharmaceuticals
    • Case Study with the Data
    • Based on open set data
    Module 10:Market Research
    • Case Study with the Data
    • Based on open set data
    Module 11: Machine Learning
    • Supervised Learning Techniques
    • Conceptual Overview
    • Unsupervised Learning Techniques
    • Association Rule Mining Segmentation
    Module 12: Fraud Analytics
    • Fraud Identification Process in Parts procuring
    • Sample data from online
    • Text Analytics
    Module 13: Text Analytics
    • Sample text from online
    Module 14:Social Media Analytics
    • Social Media Analytics
    • Sample text from online
    Syllabus of Data Science Capstone Course
    Module 1:
    • Ignite Talk
    • Statement of work
    Module 2:
    • Milestone #1 Presentation
    • Summary Report + technical report
    • Self-/peer- evaluation
    • Review another group's reports
    • Code (runs as advertised)
    Module 3:
    • Milestone #2 Presentation ("Midterm")
    • Summary Report + technical report
    • Self-/peer- evaluation
    • Review another group's reports
    • Code (runs as advertised)
    Module 4:
    • Milestone #3 Presentation
    • Summary Report + technical report
    • Self-/peer- evaluation
    • Review another group's reports
    • Code (runs as advertised)
    Module 5:
    • Final Presentation to class
    • Final write-up via blog
    • Poster and video recording
    • Self-/peer- evaluation
    • Code (runs, is organized and readable)
    Syllabus of Data Visualization Course
    Module 1: Basics of Data Visualization
    • The Importance of Visualization
    • Principles of Effective Data Visualization
    Module 2: Tableau Fundamentals
    • Connecting to Data Sources
    • Creating Basic Visuals: Bar Charts, Line Graphs, Pie Charts
    Module 3: Advanced Tableau Techniques
    • Using Calculated Fields
    • Utilizing Parameters and Filters
    • Developing Dashboards and Stories
    Module 4: Essentials of Power BI
    • Data Import and Transformation Techniques
    • Crafting Reports and Dashboards
    • DAX for Data Modeling
    Syllabus of SQL for Data Analytics Course
    Module 1: SQL Basics
    • Introduction to Databases
    • Understanding Data Types and SQL Syntax
    Module 2: Querying Data
    • Writing SELECT Statements
    • Filtering Data with WHERE Clauses
    Module 3: Advanced SQL Queries
    • Using Joins and Subqueries
    • Aggregation and Grouping Techniques
    Module 4: Data Manipulation with SQL
    • Performing INSERT, UPDATE, DELETE Operations
    • Indexing and Query Optimization
    Syllabus of Machine Learning Fundamentals Course
    Module 1: Introduction to Machine Learning
    • Supervised vs. Unsupervised Learning
    • The Machine Learning Process: Data Preparation, Model Training, Evaluation
    Module 2: Supervised Learning
    • Understanding Linear Regression
    • Exploring Decision Trees
    • Classification Algorithms: SVM, Naive Bayes
    Module 3: Unsupervised Learning
    • Clustering Techniques: K-Means, Hierarchical Clustering
    • Dimensionality Reduction: PCA
    Module 4: Model Evaluation and Tuning
    • Cross-Validation Methods
    • Hyperparameter Tuning
    • Managing Overfitting and Underfitting
    Syllabus of Data Wrangling and Preparation Course
    Module 1:Data Cleaning Techniques
    • Addressing Missing Data
    • Managing Outliers
    Module 2:Data Transformation
    • Normalizing and Standardizing Data
    • Feature Engineering
    Module 3: Data Integration
    • Merging and Joining Datasets
    • Handling Inconsistent Data
    Module 4: Preparing Data for Modeling
    • Splitting Data: Train-Test Split
    • Feature Selection Techniques
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    Need customized curriculum?

    Hands-on Real Time Projects in Data Analystics

    Project 1
    Credit Scoring System

    This project will help you to get the credit score for each individual.

    Project 2
    Malicious User Detection

    In this project, it leads you calculate the reliability factor of users.

    Project 3
    Electricity Price Forecasting Using Big Data

    This project is explicitly designed to forecast electricity prices by leveraging Data sets.

    Project 4
    Crime Rates Analyzer

    To Predict and analyze the crime rate that will happen in the future.

    Our Top Hiring Partner for Placements

    ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% Data Analyst Masters Program training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Data Analyst Masters Program Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    Be a Certified Expert in Data Analyst Masters Program

    Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

    Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

    Complete Your Course

    a downloadable Certificate in PDF format, immediately available to you when you complete your Course

    Get Certified

    a physical version of your officially branded and security-marked Certificate.

    Get Certified

    About Experienced Java Trainer

    • Our Data Analyst Masters Program Training Course : Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are Data Analyst Masters Program domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Analyst Masters Program training to the students.
    • We have received various prestigious awards for Data Analyst Masters Program Training recognized IT organizations.

    Data Analyst Master Program & Placement Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE 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 Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS
    • The entire Data Analyst Master Program & Placement training has been built around Real Time Implementation
    • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
    • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
    All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
    No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
    We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

    Why Should I Learn Data Analyst Master Program & Placement Course At ACTE?

    • Data Analyst Master Program & Placement Course in ACTE is designed & conducted by Data Analyst Master Program & Placement experts with 10+ years of experience in the Data Analyst Master Program & Placement domain
    • Only institution in India with the right blend of theory & practical sessions
    • In-depth Course coverage for 60+ Hours
    • More than 50,000+ students trust ACTE
    • Affordable fees keeping students and IT working professionals in mind
    • Course timings designed to suit working professionals and students
    • Interview tips and training
    • Resume building support
    • Real-time projects and case studies
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
    You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
    We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
    We at ACTE 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. Therefore, we restrict the size of each Data Analyst Master Program & Placement batch to 5 or 6 members
    Our courseware is designed to give a hands-on approach to the students in Data Analyst Master Program & Placement. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
    You can contact our support number at +91-7669 100 251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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