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Data Analysis & Analytics training and placement program will empower you to gain the knowledge and skills required to conduct robust data analysis and analytics and help you convert large sets of raw data into meaningful information.

The exponential growth in data has transformed all verticals such as finance, healthcare, manufacturing, retail, telecom, energy, etc. With the advent of huge sets of data created every second, organizations find it difficult to translate this huge amount of raw data into actionable insights.

This has eventually created a huge demand for professionals who can turn this raw data into meaningful information. In Skillcubator’s Data Analysis & Analytics training program, you can complete the course with an impressive professional portfolio and technical skills needed to solve real-world data problems.

Are you a creative, curious, and ambitious professional looking to join the data revolution? Or if any of the following describes your situation, then enrolling in our Data Analytics training and placement program could be a smart career move.

  • You want to switch to the IT field and start your career in data analysis, data analytics or business intelligence areas
  • You are currently a professional working with data but are looking to advance your career by building technical skills
  • You are a manager or professional in a business where data can be used to boost your company’s bottom line
  • You have interests in visualizing data to gain better insights, determine trends or any hidden patterns or correlation across huge data sets

Anyone aspiring to become a data analyst. NO PRIOR IT EXPERIENCE IS REQUIRED.

Introduction to Data Analysis/Data Analytics

  • Introduction
  • Data Analytics Overview
  • Dealing with Different Types of Data
  • Data Visualization for Decision-making
  • Data Analysis, Data Analytics, and Business Intelligence
  • Data Analytics in Different Sectors
  • Analytics Framework and Latest Trends

Business Analytics with MS Excel

  • Microsoft Excel 101 (Learn All Basic Features of Microsoft Excel)
  • Formatting Conditional Formatting and Important Functions (Statistical, Financial, Logical, etc.)
  • Using VLOOKUP and HLOOKUP Functions 
  • Creating Pivot Tables and Analyzing Data with Pivot Tables
  • Creating Charts (Pie, Bar, Histogram, Line, Area, Scatter, etc.)
  • How to Create and Manage a Dashboard
  • Explore Data Using Conditional Formatting for Categorization and Analysis

SQL Training

  • Fundamentals SQL Statements
  • Restore and Back-up
  • Selection Commands: Filtering
  • Selection Commands: Ordering
  • Alias
  • Aggregate Commands
  • Group By Commands
  • Conditional Statement
  • Joins (Inner, Outer, Left, and Right), and Unions
  • Subqueries
  • Views and Index
  • String Functions
  • Mathematical Functions
  • Date and Time Functions
  • Pattern (String) Matching
  • User Access Control Functions


  • Getting Started with Tableau
  • Core Tableau in Topics
  • Creating Charts in Tableau
  • Working with Metadata
  • Filters in Tableau
  • Applying Analytics to the Worksheet
  • Dashboard in Tableau
  • Apply Visual Analytics Best Practices and Design Interactive Dashboards with Parameters, Advanced Filters, and Layout Containers
  • Learn Data Narratives by Creating Stories in Tableau to Illustrate Data-driven Decisions
  • Modifications to Data Connections
  • Introduction to Level of Details in Tableau (LODS)
  • Training program as per latest industry demands
  • IIBA Endorsed Education Provider
  • Access to Learning Management System (LMS)
  • Free PSM-1 and PSPO-1 training
  • 35 PDUs/CDUs
  • IIBA certified instructors with 20+ years of experience
  • Plenty of case studies, in-class exercises, quizzes, and take-home assignments



  • 10+ industry-standard tools
  • Personalized resume, LinkedIn Profile makeover, and cover letter
  • Course aligned to IIBA’s BABOK 3.0 and PMI’s body of knowledge
  • Comprehensive Capstone project
  • Experiential learning through case studies
  • Microsoft Office (Word, Excel, PowerPoint)
  • Microsoft Visio, Gliffy, Lucidchart
  • Oracle
  • Jira
  • Confluence
  • Tableau, Power BI

Data Analysis tools

Yes. Data Analysis/Analytics is all about extracting raw data and using the tools and techniques, converting that raw data into meaningful information for organizations to make important decisions. Whereas, Business Analysis is geared toward bringing change within an organization through strategic and operation solutions. Oftentimes, Business Analysis entails building Information Technology solutions.

No. You do not need to learn a programming language for a Data Analyst/Data Analytics role.

While the main goal of our training is to train a candidate for a Data Analyst / Data Analytics professional role and also help a candidate to clear the Data Analyst certification, offered by IIBA. Please read more on that by clicking on https://www.iiba.org/business-analysis-certifications/business-data-analytics-certification/

Absolutely yes. We can help you transition into a Data Analyst/Data Analytics role irrespective of your past experience, knowledge or skills. As long as you have (a) decent communication skills (b) Reasonable logical reasoning skills and (c) basic understanding of computers, we guarantee that you will be transformed into a Data Analyst/Data Analytics role, equipped with all the required knowledge, skills, and expertise.

Truly speaking there are absolutely no prerequisites to become a successful Data Analyst/Data Analytics professional. But it would be nice to have the following, prior to the training

  • Familiar with Microsoft Excel basic features
  • Decent communication skills (verbal and writing in English)
  • Comfortable playing around with data

Total cost of the training program is 1500 USD + 5.3% Sales Tax, which includes study material, training tools, access to the Learning Management System (LMS), three certifications, resume preparation, cover letter, LinkedIn profile, mock interview preparation, placement, and post-placement support.

You will receive the following

  • Certificate of Completion issued by Skillcubator Training Institute with IIBA endorsement
  • Professional Scrum Master (PSM) Level-1 from Scrum.org (Optional)
  • Professional Scrum Product Owner (PSPO) Level-1 from Scrum.org (Optional)

[Please Note: Trainees must pay the exam fees directly to Scrum.org for PSM-1 and PSPO-1 exams. Training for both these exams is included in our ‘Data Analysis/Data Analytics’ training and placement Program and we guarantee 95% or more grades in both these exams in the very first attempt. Otherwise Skillcubator will reimburse your exam fees, which you paid to Scrum.org]

Yes. You will be required to use industry-standard tools, which are usually used by Data Analyst/Data Analytics professionals around the world. However, there is no additional cost for using these tools. There are approximately 10 different industry-standard tools that we use during the course of training.

[Please Note: Instructor reserves the right to make changes to the suite of tools depending on the current industry demand]

  • What are the different tools I will learn during the course of the training?

For business analysis training, we use more than 12 industry-standard tools. Please see the following

  • Microsoft Office (World, Excel, and PowerPoint): For general purposes like creating requirements documents, presentations, in-class exercises, and data analysis
  • Microsoft Visio, Draw.io, Gliffy, Lucidchart: For creating various types of models and diagrams
  • Balsamiq and Mockflow: For wireframes and mockups
  • Jira: Project tracking purposes
  • Confluence: Content repository
  • Tableau and Power BI: Data visualization, creating dashboards, reports, etc.
  • Tortoise SVN: Configuration and change management
  • Oracle: Structured Query Language (SQL)

[Please Note: Instructor reserves the right to make changes to the above-mentioned suite of tools depending on the current industry demand]

Yes. Our course is aligned with IIBA’s BABOK version 3.0 and PMI PBA body of knowledge.

Yes. Our ‘Data Analysis/Data Analytics’ training is recognized by IIBA and you can also claim 35 PDUs/CDUs.

IIBA(International Institute of Business Analysis) is a not-for-profit organization geared towards the advancement of the business analysis discipline. You can find more on IIBA by clicking the following URL https://www.iiba.org/about-iiba/

BABOK (Business Analysis Body of Knowledge) is a guide about business analysis issued by the International Institute of Business Analysis (IIBA), attempting to reflect current best practices and to provide a framework that describes the areas of knowledge with associated activities, tasks, and techniques required.

PMI(Project Management Institute) is a not-for-profit organization that aims to promote and standardize the project management discipline.

The concepts, principles, tools, and techniques taught are domain agnostic. Means, it can be applied irrespective of any domain. But if you have any specific domain in mind, please let us know. We will work with you to give you additional training in that particular domain.

Yes. We provide training in the following business domains

  • Electronic Payment Processing
  • Healthcare
  • Insurance
  • Investment Banking
  • Primary Mortgage
  • Secondary Mortgage
  • Retain Banking

Please click on the following link to view the detailed course outline


“PMI®“, “PMBOK®“, “PMP®“, “PMI-RMP®“, “CAPM®” and “PMI-ACP®” are registered marks of the Project Management Institute, Inc.

IIBA®, the IIBA® logo, BABOK® and Business Analysis Body of Knowledge® are registered trademarks owned by International Institute of Business Analysis.CBAP® is a registered certification mark owned by International Institute of Business Analysis. Certified Business Analysis Professionalisa trademark owned by International Institute of Business Analysis.

Certified CBAP, PMP and BPM instructor will be leading this course.
1500 USD +5.3% Sales Tax
  • Live Online
  • In-person
  • Private Team Training
Even though there are no prerequisites to take our Data Analysis & Analytics training program, it would be nice to have basic computing skills (MS Office like Word, Excel, and PowerPoint), decent communication skills (verbal and writing in English) and feel comfortable playing around with data.
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