Business Analysis and Intelligence Internship Training

with Pay After Placement and Guaranteed Job Assistance

Learn Data Science, Data Analysis, Business Analysis, SQL, Power BI, Azure Data Factory, MSBI, Data Warehousing, Informatica, Scrum & more! with Pay After Placement.

Get Placed with a Minimum of 5 LPA

We are not into Income Sharing Agreement (ISA)

Get 6 Months Internship Certificate from OneTruWeb Software Solutions Pvt Ltd


Job Roles for Business Analysis and Intelligence

Follwing are the Industry job roles you will land in after Business Analysis and Intelligence program.

Data Analyst

Business Analyst

Business Intelligence Architect

Business Intelligence Analyst

Business Intelligence Manager

Business Intelligence Engineer

Business Intelligence Developer

Big Data Specialist

Application Process

Application process involves 2 Interview rounds, Click on "Schedule your Interview" under "Interview Round 1" to schedule your Interview or click on Enquire Now" to drop your enquiry. Based on the Interview selection process, you will be allowed to book your seat for the Internship.

Skill Sequel | Pay After Placement

Scheduling an Interview

Soon after you raise your enquiry request, our team will get in touch with you and scheduling an Interview as per your preferred time subjected to the interview slot availability. Click on enquire now below to raise your enquiry.

Skill Sequel | Pay After Placement

Interview Round 1

In this round, career counselors will understand your requirements and suggest you a right career path and explain you in and out of the program. Further you will be moved to 2nd round of the interview.

Skill Sequel | Pay After Placement

Interview Round 2

Here you will be screened by the founding members of Skill Sequel, with few set of questions they will take decision to provide you with a seat or not. accordingly you can proceed with the enrollment.

World-class Instructors

Classes Taught by Industry Expert

Skill Sequel trainers are icons, experts, and industry rock stars excited to share their experience, wisdom, and trusted tools with you.

Skill Sequel | Pay After Placement

Industry Mentors

Get trained by experienced industry working professionals and real-time exposure to the Industry to get Industry ready.

Skill Sequel | Pay After Placement

Doubt Clarification Sessions

Get extra doubt clarification sessions with the best in-house trainers at your preferred time between 10 AM to 10 PM IST.

Skill Sequel | Pay After Placement

Internship Certificate

All the students will get an Internship certificate along with a program completion certificate upon successful completion of the program.

Happy Learners

Student Reviews

Why Skill Sequel?

Job Oriented Internship Trainings with Pay After Placement

Skill Sequel offers Job oriented Industry ready Internship training on high-demand IT domains with Pay After Placement opportunity. Pay the program fee only after you land a dream job with a minimum of 5 LPA.

Skill Sequel Internship structure is specially designed to assist you with learning domains relevant to industry requirements. We train you to clear all the hurdles in achieving your success.

Our Internship structure covers all the extensive requirements which are required to land you in IT with a minimum of 5 LPA up to 40 LPA packages. We begin from the roots so you need not worry about the pre-requests. All you need to have is a dedication to learning and we take care of your job placement.

Skill Sequel | Pay After Placement
Skill Sequel | Pay After Placement

Pay After Placement (PAP)

With our Pay After Placement (PAP) scheme, Student don't need to pay program fee upfront till they get placed in a Job. So you don't need to pay the program fee while going through the program. You can start paying after you get your first salary with an easy EMI of 12 Months.

Skill Sequel | Pay After Placement

Placement Assistance

You don't need to wait for Internship completion to get the job assistance. All the potential students will get placement assistance starting from the 4th month of the training. Remaining program you can do while doing your first job. We will take care of your Resume and LinkedIn profile building.


Pay After Placement Eligibility

Candidates who completed their graduation or post graduation in 2020, 2021, 2022 and who completes in 2023 with a minimum of 60% or 6.2 GPA marks are Eligible for complete Pay After Placement. For the one who got less than 60% or 6.2 GPA marks and the one who graduated before 2020 are eligible for partial pay after placement. Candidate need to clear a basic interview to get into the Internship program.

Current Final Year Graduates

Any Stream Graduates

Any Stream Post Graduates

Why Choose Skill Sequel?

Key Features

We prepare you for the Industry, Get ready for your next job with our tons of Hands-on Exposure

100+ Industry Grade Projects
50+ Case Studies
300+ Assignments
500+ Quizzes
10+ Capstone Projects
Dedicated Learning Manager
6 Months Internship Certificate
Placement with Minimum 5 LPA
Access to Discussion Forum
1-1 Doubt Clarification Sessions
LMS Access for Session Recordings
Lifetime LMS Access

Program Curriculum

This Program is designed to land you in your dream job, along with your preferred domain we are here to train you for the Interview process also.

Spoken English
Aptitude & Reasoning
Data Structures
Java Programming
Python Basics
Python for Data Science
Maths for Data Science
Probability and Statistics
Applied Data Science
Databases and SQL
Data Acquisition and Unstructured Data
Tableau Desktop and Server
Business Product Strategy
Microsoft Excel
R Programming
Power BI
Machine Learning for Data Analytics
Business Awareness
Machine Learning for Data Science
Data Warehousing and Business Intelligence
Microsoft Business Intelligence – MSBI
Domain Exposure
Git and Git Hub
Agile Scrum

1) Basic Grammar Knowledge

  • Parts of the speech
  • Types of the sentences
  • 12 active voice tenses.
  • 8 passive voice tenses.
  • Use of articles.
  • Use of prepositions.
  • Modal auxiliaries.
  • Clauses
  • Direct and indirect speech.
  • Some special constructions like feel like going to, had better, used to, as if, be, get, prefer to.

2) Essential English Vocabulary

  • Verbs
  • Nouns
  • Adjectives
  • Adverbs
  • Prepositions
  • Interjections
  • Conjunctions

3) Speaking practice

  • Self-introduction.
  • Daily routine.
  • My family.
  • My village/city.
  • My school.
  • My hobby.
  • My favorites.
  1. Quantitative Ability (Basic Mathematics)
  • Number Systems
  • LCM and HCF
  • Decimal Fractions
  • Simplification
  • Square Roots and Cube Roots
  • Average
  • Problems on Ages
  • Surds & Indices
  • Percentages
  • Problems on Numbers

  1. Quantitative Ability (Applied & Engineering Mathematics)
  • Logarithm
  • Permutation and Combinations
  • Probability
  • Profit and Loss
  • Simple and Compound Interest
  • Time, Speed and Distance
  • Time & Work
  • Ratio and Proportion
  • Area
  • Mixtures and Allegation
  1. Data Interpretation
  • Data Interpretation
  • Tables
  • Column Graphs
  • Bar Graphs
  • Line Charts
  • Pie Chart
  • Venn Diagrams
  1. Logical Reasoning (Deductive Reasoning)
  • Analogy
  • Blood Relation
  • Directional Sense
  • Number and Letter Series
  • Coding – Decoding
  • Calendars
  • Clocks
  • Venn Diagrams
  • Seating Arrangement
  • Syllogism
  • Mathematical Operations


DS Basics

  • DS Introduction
  • DS Algorithm
  • Ds Asymptotic Analysis
  • DS Pointer
  • DS Structure

DS Array

  • Array
  • 2D Array

DS Linked List

  • Linked List
    • Insertion at beginning
    • Insertion at end
    • Insertion after specified node
    • Deletion at beginning
    • Deletion at end
    • Deletion after specified node
    • Traversing
    • Searching
  • Doubly Linked List
    • Insertion at beginning
    • Insertion at end
    • Insertion after specified node
    • Deletion at beginning
    • Deletion at end
    • Deletion of node having given data
    • Traversing
    • Searching
  • Circular Linked List
    • Insertion at beginning
    • Insertion at end
    • Deletion at beginning
    • Deletion at the end
    • Traversing
    • Searching
  • Circular Doubly List
    • Insertion at beginning
    • Insertion at end
    • Deletion at beginning
    • Deletion at the end

DS Stack

  • DS Stack
  • Array Implementation
  • Linked List Implementation

DS Queue

  • DS Queue
  • Array Implementation
  • Linked List Implementation
  • Circular Queue

DS Tree

  • Tree
  • Binary Tree
    • Pre-order Traversal
    • In-order Traversal
    • Post-order Traversal
  • Binary Search Tree
    • Searching in BST
    • Insertion in BST
    • Deletion in BST
  • AVL Tree
    • Insertion in AVL Tree
      • LL Rotation
      • LR Rotation
      • RL Rotation
      • RR Rotation
    • Deletion in AVL Tree
  • B Tree
  • B+ Tree
  • Red Black Tree

DS Graph

  • DS Graph
  • Graph Implementation
  • BFS Algorithm
  • DFS Algorithm
  • Spanning Tree
    • Prim’s Algorithm
    • Kruskal’s Algorithm

DS Searching

  • Linear Search
  • Binary Search

DS Sorting

  • Bubble Sort
  • Bucket Sort
  • Comb Sort
  • Counting Sort
  • Heap Sort
  • Insertion Sort
  • Merge Sort
  • Quick Sort
  • Radix Sort
  • Selection Sort
  • Shell Sort
  • Bitonic Sort
  • Cocktail Sort
  • Cycle Sort
  • Tim Sort

What is Java

History of Java

Features of Java

C++ vs Java

Hello Java Program

Program Internal

How to set path?


JVM: Java Virtual Machine

Java Variables

Java Data Types

Unicode System




Control Statements

Java Control Statements

Java If-else

Java Switch

Java For Loop

Java While Loop

Java Do While Loop

Java Break

Java Continue

Java Comments

Java Programs


Java Object Class

Java OOPs Concepts

Naming Convention

Object and Class



static keyword

this keyword


Java Inheritance




Java Polymorphism

Method Overloading

Method Overriding

Covariant Return Type

super keyword

Instance Initializer block

final keyword

Runtime Polymorphism

Dynamic Binding

instance of operator


Java Abstraction

Abstract class


Abstract vs Interface


Java Encapsulation


Access Modifiers



Java Array

Java Array


Java OOPs Misc

Object class

Object Cloning

Math class

Wrapper Class

Java Recursion

Call By Value

strictfp keyword

javadoc tool

Command Line Arg

Object vs Class

Overloading vs Overriding

Java String

Java Regex

Exception Handling

Java Inner classes

Java Multithreading

Java I/O

Java Networking

Java AWT & Events

Java Swing


Java Applet

Java Reflection

Java Date

Java Conversion

Java Collection


Java Misc

Java New Features



  • Flowcharts, Data Types, Operators
  • Conditional Statements & Loops
  • Functions & Recursion
  • Strings
  • In-built Data Structures – List, Tuple, Dictionary, Set
  • Practice
  • Python Refresher
  • Lambda Functions, List Comprehension, Functional Programming, Decorator, Args, Kwargs
  • Object Oriented Programming
  • Exception Handling, Modules, Package, Library, Built-in Modules in Python
  • Basic DSA & Problem Solving
  • Time complexity, List, 2D List, Bit Manipulation, Strings, Searching, Sorting
  • Numpy, Pandas
  • Data Visualization using Matplotlib and Seaborn
  • Regular Expressions/Pattern Matching
  • Terminal/OS
  • File Handling
  • Coordinate Geometry
    • Point, Lines, Slope, Intercept
  • Linear Algebra
    • Vector and Matrices, Unit Vector, Dot product, Projections, Cosine Similarity, Determinant, Transpose, System of Equations
  • Linear Programming Optimisation Basics
  • Estimation Problems
  • Probability Theory and Descriptive Statistics
    • Combinatorics, Marginal Probability, Joint Probability, Conditional Probability, Bayes Theorem, Mean, Median, Mode, Percentile, IQR, Outlier.
  • Probability Distributions
    • DF, PMF, CDF, PPF, Uniform, Gaussian, Bernoulli, Multinomial, Normal Distribution, Poisson, Exponential, Geometric, Log-normal distribution, Pareto/Power Law Distribution.
  • Inferential Statistics
    • Confidence Interval Estimates, CLT.
  • Hypothesis Testing, Parametric vs non-parametric, Z-test, Chi-square, Skewness, Kurtosis, Normality test.
  • Experiment Design, ANOVA, Simulations, Power of Test, A/B testing, Diff n Diff, Multi-arm bandits.
  • EDA, Covariance, Correlation, Pearson, Spearman Rank, Multi-dimensional, Feature Engineering, Column normalization, Standardization, Covariance matrix, Missing Values, Outlier treatment.
  • Relational, Non-relational, ER diagrams, SQL Commands, Aggregate Functions, Joins, SubQueries, Normalization, Scaling patterns, ACID, Dask SQL, Cloud SQL (Athena/BigQuery)
  • Data from Web API, Scraping, Data Cleaning
  • Unstructured Data – OpenCV, Image processing, Smoothening, Morphological Operations, NLTK, Text processing

Tableau Desktop

  • Introduction Tableau
  • Connecting to Excel, CSV Text Files
  • Getting Started
  • Product Overview
  • Connecting to Databases
  • Working with Data
  • Analyzing
  • Formatting
  • Introduction to Calculations
  • Dashboard Development
  • Sharing
  • Data Calculations
  • Aggregate Calculations
  • User Calculations
  • Table Calculations
  • Logical Calculations
  • String Calculations
  • Number Calculations
  • Type Conversion
  • Parameters
  • Filtering Conditions
  • Filtering Measures
  • Histograms
  • Sorting
  • Grouping
  • Sets
  • Tree maps, word clouds and bubble charts
  • Pareto Charts
  • Waterfall Charts
  • Bump Charts
  • Funnel Charts
  • Bollinger Bands

Tableau Server

  • Install Configuration
  • Tab admin
  • Tab cmd
  • Data Server
  • End User Training
  • JavaScript API Intro and Embed
  • JavaScript API Switching Views
  • JavaScript API Filtering and Selecting
  • JavaScript API Asynchronous Programming
  • JavaScript API Event Listeners
  • JavaScript API Advanced Filtering
  • JavaScript API Utility Function

Tableau Advanced

  • Authoring for Interactivity
  • Data Blending
  • Basic Mapping
  • Advanced Mapping Techniques
  • WMS Servers
  • Polygon Maps
  • Background Images
  • Custom Geo coding
  • Cubes
  • Trend Lines, Residuals, and Forecasting
  • Statistics Calculations
  • Ben ford’s Law
  • Box Plots
  • Sales force
  • Google Analytics
  • Extract API CSV to TDE
  • Connecting to Web-based Data Sources with the Extract API
  • Extract API Transforming Your Data
  • Analyzing Sales Data with Tableau
  • Tableau Online Security and Administration
  • Tableau Online Security and Administration
  • Tableau Online Updating Data to the Cloud

Tableau Visual Analytics Training

  • Introduction
  • Laying the Groundwork for Visual Analysis
  • Getting, Cleaning and Classifying Your Data
  • Visual Mapping Techniques
  • Solving Real-World Problems
  • Communicating Your Findings
  • Metric Design
  • How to crack Product and Strategy Rounds
  • Domain Knowledge – Banking, Finance, Marketing, Social Media, Operations, Healthcare
  • Experiment Design Advanced
    • Getting Acclimated with EXCEL, Basic EXCEL Formulas & Functions , Text, Times, and Dates Data Formats, Pivot Table, Introduction to Statistics in EXCEL , Handling Data in EXCEL, Pivot Tables, Charts in Excel
    • Creating objects, Matrices, Loops, Functions in R, Data Manipulation in R, Creating frequency tables and cross tables, Building charts, Performing univariate analysis, Working with dates and time in R, Dplyr, GGplot

Introduction To Power BI

  • Introduction to Power BI – Need, Imprtance

  • Power BI – Advantages and Scalable Options

  • History – Power View, Power Query, Power Pivot

  • Power BI Data Source Library and DW Files

  • Cloud Colloboration and Usage Scope

  • Business Analyst Tools, MS Cloud Tools

  • Power BI Installation and Cloud Account

  • Power BI Cloud and Power BI Service

  • Power BI Architecture and Data Access

  • OnPremise Data Acces and Microsoft On Drive

  • Power BI Desktop – Instalation, Usage

  • Sample Reports and Visualization Controls

  • Power BI Cloud Account Configuration

  • Understanding Desktop & Mobile Editions

  • Report Rendering Options and End User Access

  • Power View and Power Map. Power BI Licenses

  • Course Plan – Power BI Online Training

Creating POWER BI Reports, Auto Filters

  • Report Design with Legacy & .DAT Files

  • Report Design with Databse Tables

  • Understanding Power BI Report Designer

  • Report Canvas, Report Pages: Creation, Renames

  • Report Visuals, Fields and UI Options

  • Experimenting Visual Interactions, Advantages

  • Reports with Multiple Pages and Advantages

  • Pages with Multiple Visualizations. Data Access

  • PUBLISH Options and Report Verification in Cloud

  • “GET DATA” Options and Report Fields, Filters

  • Report View Options: Full, Fit Page, Width Scale

  • Report Design using Databases & Queries

  • Query Settings and Data Preloads

  • Navigation Options and Report Refresh

  • Stacked bar chart, Stacked column chart

  • Clustered bar chart, Clustered column chart

  • Adding Report Titles. Report Format Options

  • Focus Mode, Explore and Export Settings

Report Visualization And Properties

  • Power BI Design: Canvas, Visualizations and Files

  • Import Data Options with Power BI Model, Advantages

  • Direct Query Options and Real-time (LIVE) Data Access

  • Data Fields and Filters with Visualizations

  • Visualization Filters, Page Filters, Report Filters

  • Conditional Filters and Clearing. Testing Sets

  • Creating Customized Tables with Power BI Editor

  • General Properties, Sizing, Dimensions, and Positions

  • Alternate Text and Tiles. Header (Column, Row) Properties

  • Grid Properties (Vertical, Horizontal) and Styles

  • Table Styles & Alternate Row Colors – Static, Dynamic

  • Sparse, Flashy Rows, Condensed Table Reports. Focus Mode

  • Totals Computations, Background. Borders Properties

  • Column Headers, Column Formatting, Value Properties

  • Conditional Formatting Options – Color Scale

  • Page Level Filters and Report Level Filters

  • Visual-Level Filters and Format Options

  • Report Fields, Formats and Analytics

  • Page-Level Filters and Column Formatting, Filters

  • Background Properties, Borders and Lock Aspect

Chart And Map Report Properties

  • CHART Report Types and Properties








  • Field Properties: Axis, Legend, Value, Tooltip

  • Field Properties: Color Saturation, Filters Types

  • Formats: Legend, Axis, Data Labels, Plot Area

  • Data Labels: Visibility, Color and Display Units

  • Data Labels: Precision, Position, Text Options

  • Analytics: Constant Line, Position, Labels

  • Working with Waterfall Charts and Default Values

  • Modifying Legends and Visual Filters – Options

  • Map Reports: Working with Map Reports

  • Hierarchies: Grouping Multiple Report Fields

  • Hierarchy Levels and Usages in Visualizations

  • Preordered Attribute Collection – Advantages

  • Using Field Hierarchies with Chart Reports

  • Advanced Query Mode @ Connection Settings – Options

  • Direct Import and In-memory Loads, Advantages

Hierarchies And Drilldown Reports

  • Hierarchies and Drilldown Options

  • Hierarchy Levels and Drill Modes – Usage

  • Drill-thru Options with Tree Map and Pie Chart

  • Higher Levels and Next Level Navigation Options

  • Aggregates with Bottom/Up Navigations. Rules

  • Multi Field Aggregations and Hierarchies in Power BI


  • SEE DATA and SEE RECORDS Options. Differences

  • Toggle Options with Tabular Data. Filters

  • Drilldown Buttons and Mouse Hover Options @ Visuals

  • Dependant Aggregations, Independant Aggregations

  • Automated Records Selection with Tabular Data

  • Report Parameters : Creation and Data Type

  • Available Values and Default values. Member Values

  • Parameters for Column Data and Table / Query Filters

  • Parameters Creation – Query Mode, UI Option

  • Linking Parameters to Query Columns – Options

  • Edit Query Options and Parameter Manage Entries

  • Connection Parameters and Dynamic Data Sources

  • Synonyms – Creation and Usage Options

Power Query & M Language

  • Understanding Power Query Editor – Options

  • Power BI Interface and Query / Dataset Edits

  • Working with Empty Tables and Load / Edits

  • Empty Table Names and Header Row Promotions

  • Undo Headers Options. Blank Columns Detection

  • Data Imports and Query Marking in Query Editor

  • JSON Files & Binary Formats with Power Query

  • JavaScript Object Notation – Usage with M Lang.

  • Applied Steps and Usage Options. Revert Options

  • creating Query Groups and Query References. Usage

  • Query Rename, Load Enable and Data Refresh Options

  • Combine Queries – Merge Join and Anti-Join Options

  • Combine Queries – Union and Union All as New Dataset

  • M Language : NestedJoin and JoinKind Functions


  • Column Splits and FilledUp / FilledDown Options

  • Query Hide and Change Type Options. Code Generation


  • Purpose of Data Analysis Expresssions (DAX)

  • Scope of Usage with DAX. Usabilty Options

  • DAX Context : Row Context and Filter Context

  • DAX Entities : Calculated Columns and Measures

  • DAX Data Types : Numeric, Boolean, Variant, Currency

  • Datetime Data Tye with DAX. Comparison with Excel

  • DAX Operators & Symbols. Usage. Operator Priority

  • Parenthesis, Comparison, Arthmetic, Text, Logic

  • DAX Functions and Types: Table Valued Functions

  • Filter, Aggregation and Time Intelligence Functions

  • Information Functions, Logical, Parent-Child Functions

  • Statistical and Text Functions. Formulas and Queries

  • Syntax Requirements with DAX. Differences with Excel

  • Naming Conventions and DAX Format Representation

  • Working with Special Characters in Table Names

  • Attribute / Column Scope with DAX – Examples

  • Measure / Column Scope with DAX – Examples


  • YTD, QTD, MTD Calculations with DAX

  • DAX Calculations and Measures


  • Computations using STDEV & VAR



  • Time Intelligence Functions with DAX

  • Data Analysis Expressions and Functions






  • KPIs with DAX. Vertipaq Queries in DAX

  • IF..ELSEIF.. Conditions with DAX

  • Slicing and Dicing Options with Columns, Measures

  • DAX for Query Extraction, Data Mashup Operations

  • Calcualted COlumns and Calculated Measures with DAX

Power BI Deployment & Cloud

  • PowerBI Report Validation and Publish

  • Understanding PowerBI Cloud Architecture

  • PowerBI Cloud Account and Workspace

  • Reports and DataSet Items Validation

  • Dashboards and Pins – Real-time Usage

  • Dynamic Data Sources and Encryptions

  • Personal and Organizational Content Packs

  • Gateways, Subscriptions, Mobile Reports

  • Data Refresh with Power BI Architecture

  • PBIX and PBIT Files with Power BI – Usage

  • Visual Data Imports and Visual Schemas

  • Cloud and On-Premise Data Sources

  • How PowerBI Supports Data Model?

  • Relation between Dashboards to Reports

  • Relation between Datasets to Reports

  • Relation between Datasets to Dashboards

  • Page to Report – Mapping Options

  • Publish Options and Data Import Options

  • Need for PINS @ Visuals and PINS @ Reports

  • Need for Data Streams and Cloud Integration

Power BI Cloud Operations

  • Report Publish Options and Verifications

  • Working with Power BI Cloud Interface & Options

  • Navigation Paths with “My Workspace” Screens


  • Saving Reports into pdf, pptx, etc. Report Embed

  • Report Rendering and EDIT, SAVE, Print Options

  • Report PIN and individual Visual PIN Options

  • Create and Use Dashboards. Menu Options

  • Goto Dashboard and Goto LIVE Page Options

  • Operations on Pinned Reports and Visuals


  • SUBSCRIPTION Options and Reports with Mobile View

  • Options with Report Page : Print and Subscribe



  • Dashboard Actions: METRICS, RELATED ITEMS

  • Dashboard Actions: SETTINGS FOR Q & A, DELETE



  • EDIT DASHBOARD (CLOUD), On-The-Fly Reports

  • Dataset Actions: CREATE REPORT, REFRESH


  • Dashboard Integration with Apps in Power BI

Improving Power BI Reports

  • Publish PowerBI Report Templates

  • Import and Export Options with Power BI

  • Dataset Navigations and Report Navigations

  • Quick Navigation Options with “My Workspace”

  • Dashboards, Workbooks, Reports, Datasets

  • Working with MY WORK SPACE group

  • Installing the Power BI Personal Gateway

  • Automatic Refresh – Possible Issues

  • Adding images to the dashboards

  • Reading & Editing Power BI Views

  • Power BI Templates (pbit)- Creation, Usage

  • Managing report in Power BI Services

  • PowerBI Gateway – Download and Installation

  • Personal and Enterprise Gateway Features

  • PowerBI Settings : Dataset – Gateway Integration

  • Configuring Dataset for Manual Refresh of Data

  • Configuring Automatic Refresh and Schedules

  • Workbooks and Alerts with Power BI

  • Dataset Actions and Refresh Settings with Gateway

  • Using natural Language Q&A to data – Cortana

Insights And Subscriptions

  • Data Navigation Paths and Data Splits

  • Getting data from existing systems

  • Data Refresh and LIVE Connections

  • pbit and pbix : differences. Usage Options

  • Quick Insights For Power BI Reports

  • Quick Insights For PowerBI Dashboards

  • Generating Insights with Cloud Datasets

  • Generating Reports with Cloud Datasets

  • Using relational databases on-premises

  • Using relational databases in the cloud

  • Consuming a service content pack

  • Creating a custom data set from a service

  • Creating a content pack for your organization

  • Consuming an organizational content pack

  • Updating an organizational content pack

  • Adding Tiles : Images, Videos, DataStreams

  • Creating New Reports from Cortana, Advantages

Power BI Integration Elements

  • SSRS Integration with Power BI

  • SSRS Report Portal URL to Power BI Cloud

  • Power BI KPI Reports Vs SSRS KPI Reports

  • Converging and Working with Mobile Reports

  • Report Builder Reports to Power BI

  • Generating QR Codes and Report Security

  • Reporting JSON Files, Bulk Data Loads

  • Creating high-density Reports in Power BI

  • OLAP Data Sources in Power BI

  • Using MDX Queries with PowerBI Queries

  • MDX SELECT and Perspective Access

  • KPIs and MDX Expressions with Power BI

  • MDX Queries and Filters with Power BI

  • Linked Servers and T-SQL SPROCs with MDX




  • Implementing Row Level Security (RLS)

  • Security Roles and Role Members. Tests

  • Using R for Power BI, Streaming Data Sets

  • Azure Connections with PowerBI Desktop

  • PowerBI Reports using SQL Azure DBs

  • Supervised Machine Learning
    • KNN, Linear Regression, Logistic Regression, Decision Trees, Feature importance, ML Metrics
  • Unsupervised Machine Learning
    • Dimentionality Reduction & Visualization, Anomaly Detection, K-Means, PCA, t-SNE
  • Miscellaneous Machine Learning Topics
    • Text and Image vectorization using Deep-Learning, Interpretable ML, ML Life Cycle
  • NLP Concepts
  • Time Series Forecasting
    • Resampling, Autocorrelation, Forecasting, Seasonal Naive, Double/Triple Exponential (Holt) Residual Analysis, Stationarity tests, Autoregressive methods, moving average, ARIMA, SARIMA.
  • Design of Survey
  • Metric Design
  • Big Data Frameworks
  • Business Case-studies
    • Risk, Product, Banking, Finance, E-Commerce, Social Media, Marketing, Transportation, Healthcare, Operations
  • Essential Maths for Machine Learning
    • Linear Algebra
      • Vector and Matrices, Dot product, Projections, System of Equations, Matrix Transformation, Eigen Vectors and Values, Orthonormal Basis Vectors, SVD, PCA
    • Coordinate Geometry
      • Line, Plane, HyperPlane, Half space, Classification using plane
    • Calculus
      • Functions, Limits, Derivatives, Partial derivatives, Saddle points
  • Supervised Learning
    • Linear Regression, Gradient Descent, Multicollinearity, VIF, R-square, Heteroscedasticity, Sklearn, Polynomial Regression, Bias-Variance trade-off, Regularisation
    • Logistic Regression, Squashing function, AUC. ROC, Precision-Recall Curve, Confusion matrix, Specificity
    • KNN, Decision Trees, Ensemble learning, Bagging, Boosting, SHAP Values
    • Support Vector Machine
    • Bayesian Machine Learning
  • Unsupervised Learning
    • KMeans, Customer Segmentation, Hierarchical, DBSCAN, Anomaly Detection, Local Outlier Factor, Isolation Forest, Dimensionality Reduction, PCA, t-SNE, GMM, Information Theory, Expectation Maximisation
  • Recommender Systems
    • Collaborative/Content filtering, Propensity analysis, Cold start problem
  • Predictive Modeling & Time Series Forecasting
    • EDA, Resampling, Autocorrelation, Forecasting, Seasonal Naive, Double/Triple Exponential (Holt) Residual Analysis
    • Stationarity tests, Autoregressive methods, moving average, ARIMA, SARIMA.
  • Reinforcement Learning and Forecasting
    • Reinforcement Learning, Q-learning, Autonomous players, RNNs and LSTMs for forecasting.
  • Data Warehouse Architecture
  • Data Warehouse Dimension & Fact Tables
  • Data Modeling
  • Building Data Warehouse with ERwin
  • Introduction to Open Source ETL Tool Talend DI Open Studio 5.x
  • Building ETL Project With Talend DI Open Studio 5.x
  • An Integrated Data Warehousing & BI Project
  • Introduction to Data Warehousing and MSBI
  • Introduction to SSIS
  • Transformations and Use-Cases
  • Transactions and Event Handling
  • SSIS (Configuration, Deployment and Scheduling)
  • SSAS Cube Design
  • SSAS Deployment and MDX, DAX
  • SSRS Reporting
  • SSRS: Web Portal
  • Integration of SSIS, SSAS and SSRS
  • Data Integration and Data Warehousing Fundamentals
  • Informatica PowerCenter Transformations
  • Informatica PowerCenter Tasks & Workflows
  • Advanced Transformations, Techniques & Reusability Features
  • ETL Scenarios using Informatica
  • Service & Support of Informatica PowerCenter Environment
  • Performance Tuning, Design Principles & Caches
  • Informatica PowerCenter Repository Management
  • Informatica Administration & Security
  • Command Line Utilities
  • Informatica 10 – Technical Architecture
  • Scripting
  • Data Model
  • Data Transformation
  • Charts & Advanced Functions
  • Data Analysis
  • Insights to MicroStrategy 10
  • Advanced Analytics and Report Conveyance – MicroStrategy Architecture and Developer
  • Smart Analytics and Impromptu Reporting – MicroStrategy Web
  • Overview of MicroStrategy Admin and Intelligence Server
  • MicroStrategy SDK
  • Versatile BI – MicroStrategy Mobile
  • Transactions – MicroStrategy Distribution Service
  • Create and Deploy Enterprise Security Network: Usher Security
  • Pentaho Report Designer – Basic
  • Pentaho Report Designer – Advanced
  • Pentaho Data Integration – Introduction
  • Pentaho Data Integration – Transformation
  • Pentaho Data Integration – Job and More
  • Pentaho BA Server and User Console

Marketing & Retail Analytics Web & Social Media Analytics
• Marketing and Retail
Terminologies: Review
• Customer Analytics
• Retail Dashboards
• Customer Churn
• Association Rules Mining

Web and Social Media Analytics

• Web Analytics: Understanding
The Metrics
• Basic & Advanced Web Metrics
• Google Analytics: Demo & Hands-on
• Campaign Analytics
• Text Mining

Finance & Risk Analytics Supply Chain & Logistics Analytics

• Why Credit Risk – Using a
Market Case Study
• Comparison of Credit Risk Models
• Overview of Probability of
Default (PD) Modeling
• PD Models, Types of Models,
Steps to Make a Good Model
• Market Risk
• Value at Risk – Using Stock Case Study
• Fraud Detection

Supply Chain and Logistics Analytics

• Introduction to Supply Chain
• Dealing with Demand Uncertainty
• Inventory Control & Management
• Inventory Classification Methods (EOQ)
• Inventory Modeling (Reorder Point,
Safety Stock)
• Advanced Forecasting Methods
• Procurement Analytics


  • What is a Version Control System (VCS)?

  • Distributed vs Non-distributed VCS

  • What is Git and where did it come from?

  • Alternatives to Git

  • Cloud-based solutions (Github, Gitlab, BitBucket etc)

Installation and Configuration

  • Obtaining Git

  • Installing Git

  • Common configuration options

  • GUI tools

Key Terminology

  • Clone

  • Working Tree

  • Checkout

  • Staging area

  • Add

  • Commit

  • Push

  • Pull

  • Stash

Git – Local Repository Actions

  • Creating a repository (git init)

  • Checking status (git status)

  • Adding files to a repository (git add)

  • Committing files (git commit)

  • Removing staged files (git reset)

  • Removing committed files (git rm)

  • Checking logs (git log)

Git – Remote Repository Actions

  • Creating a remote repository (git init)

  • Cloning repositories (git clone)

  • Updating the remote repository from the local (git push)

  • Updating the local repository from the remote (git pull)

Tagging in Git

  • What are Git Tags?

  • Listing tags

  • Lightweight tags

  • Displaying tag details (tag show)

  • Annotated tags

  • Checking out tags

  • Pushing tags

  • Pulling tags

Branching in Git

  • What is a branch

  • A note about andlt;HEADandgt;

  • Listing branches

  • Create new branch

  • Checkout branch

  • Pushing branches

  • Pulling branches

Merging in Git

  • Fetching Changes (git fetch)

  • Rebasing (git rebase)

  • Git Pull

Git Workflows

  • Different ways of using Git

  • Centralised

  • Feature Branch

  • Gitflow Workflow

  • Forking Workflow

Git – Stashing Changes

  • What is Stashing?

  • Using Stash

  • Creating a branch from a Stash

Advanced Repository Actions

  • Removing untracked files (git clean)

  • Remove staged changes (git reset)

  • Revert a commit (git revert)

  • Checkout a previous commit (git checkout)

Advanced Branching and Merging

  • Deleting a Branch

  • Fast forward merge

  • Three way merge

  • Resolving merge conflicts

  • Cherry-Picking (git cherry-pick)

Advanced Git Configuration

  • Aliases

  • Submodules

  • Patches

  • Hooks

  • Short Stories / Case Studies based on real industry experience and research – The correct methods for improvement and dealing with difficult situations is essential to mastering agile scrum. My experience in industry and research into the topic has been used to give you a solid grounding in the most concise way possible.

  • Expert Knowledge – I give you a complete overview of how I dealt with difficult situations on the job and techniques used in the business work place without having to do a face to face course saving you hundreds if not thousands of dollars.

  • Concise overview of agile scrum – Including the way that the scrum framework is used to deliver projects in industry.

Batch Timings

Get enrolled to a batch which is feasible for you based on your availability.

Full Time - Weekday - Morning

Part Time - Weekday - Evening

Part Time - Weekend - Evening

Training Fee

Please find the training fee based on your Highest Graduation completion year.

2020 - 2023 Graduates

2016 - 2019 Graduates

2012 - 2015 Graduates

Shakti - Women Empowerment Program

Shakti is a Women Empowerment Program initiated by Skill Sequel in collaboration with OneTruWeb Software Solutions Private Limited to help all the beloved mothers to get back to their professional career without any hustles. 

Skill Sequel will help all the eligible candidates in training, mentoring and helping with placements in their preferred IT domains. 

Any women who were a working professional before and got a career gap because of Maternity will be eligible for this program. 

Get Flat 70% off on the course fee and pay the fee in 6 Easy no-cost EMIs.

Skill Sequel | Pay After Placement
Batches a per your feasibility

Upcoming Batches

Skill Sequel trainers are icons, experts, and industry rock stars excited to share their experience, wisdom, and trusted tools with you.

Full Time - Weekday - Morning Batch

6 Months Internship Training program with Monday to Friday classes between 10AM to 5PM. Ideal for Fresher Graduates.

20th, 27th March 2023

Limited Seats Available

Part Time - Weekday - Evening Batch

9 Months Internship Training program with Monday to Friday classes between 7PM to 10PM. Ideal for Final Year Students.

06th, 27th March 2023

Limited Seats Available

Part Time - Weekend - Evening Batch

12 Months Internship Training program with Saturday and Sunday classes between 7PM to 10PM. Ideal for Experienced Professionals who wants to switch to IT.

11th, 25th March 2023

Limited Seats Available

Have any Questions?

Frequently Asked Questions

If you are eligible to pay after the placement plan, you need to pay 5,000 INR only for the registration fee and you can pay the course fee of 95,000 INR in 12 EMIs for 12 months right after your first salary gets credited.

If you wish to pay upfront, you can pay us ₹ 1,00,000 INR. The training and placement opportunities will be the same as provided in the Pay after the placement plan.


We guarantee a minimum CTC of 5 LPA. No fee is supposed to be paid if we fail to get you placed at CTC of 5 LPA.

Yes, you are eligible. Any final-year college student and Fresher who graduated after 2020 are eligible for our courses. No matter what your degree, graduation percentage or branch is, all students are eligible.

As this program is developed for both Freshers and Final Year students, there will be 3 types of class timings as follows.

Full-Time (Weekday):
Days: Monday to Friday
Time: 10 AM to 5 PM IST
Duration: 6 Months

Part-Time (Weekday):
Days: Monday to Friday
Time: 7 PM to 10 PM IST
Duration: 9 Months

Part-Time (Weekend):
Days: Saturday and Sunday
Time: 7 PM to 10 PM IST
Duration: 12 Months


We are here to help every student to land a dream job, if you change your plan in between it’s not up to us.
As the seats in a batch are limited, if not you someone else will get an opportunity to learn in your place.
So before joining, make sure about what you want to do in the future and we suggest you plan your career. We are here to make your career path easy.

We need our students to dedicate at least 6-8 hours of their time to get Industry ready. Doing a job along with our full-time weekday course is a difficult task, instead, you can enroll in part-time weekend classes. If you are working for less than 5 LPA, We suggest you drop off your Job and join our Full-time Weekday course as we can help with more than 5 LPA and we start placement assistance right after the 4 months of the program start date.

We start the placement assistance for all the eligible students right after the 4th month in Full Time and 7th Month in Part Time.

To get the eligibility, you need to work on Assignments, Hands-on Exercises time to time with out fail by attending the live classes. We consider 75% of your attendance in order to process your placement assistance in between the program.

Common Syllabus will be Spoken English, Interview Preparation Skills, Aptitude and Reasoning, Data Structures, C Programming and Java Programming for all the programs as complimentary. 

We focus on roots before raising any tree. We are here to make your life easier and help you with a simpler way in getting your dream job.

The usual industry standards for the programs we are providing are with a minimum of 5 LPA up to 40 LPA. Average package one can easily expect is 6-7 LPA. 
We promise you with a minimum of 5 LPA but you will definitely land in a job with more than 5 LPA. 

Join Skill Sequel

Get placed with a minimum of 5 LPA upto 40 LPA in MNCs and Top notch Startups.