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Adv. Data Science & Analytics with Gen AI (Data Scientist) Training Program Overview -
Learn from basics of Python to Adv. Data Science modules like Gen AI with industry leading analytic tools like Power BI, Tableau etc and Database from Experts with Live Projects to beceome a Data Scientist.
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From training to placement, we are with you at every step. Get early placement initiation during training, continuous expert guidance, dedicated placement team, our strong network of 1000+ companies and easy placement guidelines to help you get the best job opportunities until hired.

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Job Opportunities -
Data Analyst, Business Analyst, Data Analyst Developer, Business Analyst Developer, Analytics Engineer, Data Engineer, Data Scientist, AI engineer, ML Engineer, ML Developer, AI Developer etc.
Skills You'll Master -
✓ Step-by-step learning from basics of Python to building advanced Real-world Projects in AI.
✓ Get hands-on on latest A.I. technologies like NLP, BIRT, LLM, Gen-AI, ML-OPS etc
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Syllabus

MySQL

MySQL Server Installation
MySQL Workbench Installation
MySQL Basics
- Database models
- ER Model Overview
- Data types
- Understanding Test Database
- Basics Queries
DDL
- Tables - Create, Alter, Drop
- Constraints - Not Null, Primary Key, Unique Key, Foreign Key
- Indexes - Types, Create, Drop
DML operations - Insert, Update & Delete
- Insert, Update, Delete & Truncate
- Common Operations
Writing Queries
Filters
- DISTINCT
- BETWEEN
- IN
- LIKE
- NOT
- NULL
- AND, OR, NOT etc
- Using Complex Data Filtering Techniques
- Limit, offset
Sorting
- Ascending Order
- Descending Order
- Complex Sorting
Functions
- String Functions - lower case, uppercase, substring, instring, trim, group_concat etc.
- Number Functions - round and trunc
- Date Functions - datepart etc
- Null Functions - NULLIF
- Case
Groups
- Basics
- Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT etc
- Grouping Filters - HAVING
- Rollups & Cubes
Analytic (Window) Functions (Bonus)
- Over() with summary functions
- Partition By Queries
- ROW_NUMBER()
- RANK()
- DENSE_RANK()
Joins
- Cartesian Product
- Equi and Non-Equi Joins
- Left Outer Join
- Right Outer Join
- Full Outer Join
- Self Join
- Complex Queries - Joins & Groups Integration
SET Operators
- Union
- Union All
- Intersect
- Minus
Subquery
- Single Valued Sub Query
- Multi Valued Sub Query
Views
Inline Views
TOP N Analysis
Bulk Operations
- Required to create test data:
- Creating Tables using queries
- Bulk Data Inserts using Queries
- Updating Data using Queries
- Deleting Data using Queries
Transactions ( T SQL)
- Commit
- Rollback
- Savepoint
Procedures and Functions
- Programming basics
- Procedures - create, drop & usage
- Functions - create, drop & usage
Triggers - create, drop & usage
Project

Python

Introduction & Installation
- Introdution
- Installing Python
- Installing Pycharm
- Configurations
Programming Basics
- Variables
- Data Types
- User Inputs
- Unpacking
- Boolean Practice
- What If, Else and If, Making Decisions
- For Loops
- Break Continue Pass
- Break Vs Continue Vs Pass
Data Structures
- List
- Tuple
- Set
Logic Building & Programming
- Pattern Programs
- Prime Number
- Fibonacci Sequence
- Factorial
- Recursion
- Swap 2 Variables
Functions
- Creating Functions
- Functions Arguments
- Type of Arguments
- Keyworded Variable Length Arguments
- Using Built in Functions
- Global Keywords
- Passing List to Functions
Anonymous Functions / Lambda
Filter / Map Reduce
Decorators
Modules
OOPs Programming
- Modules
- Special variable _name_
- Class & Object
- _init_ method
- Constructor, Self and Comparing Objects
- Inheritance
- Polymorphism:
- Method Overloading
- Method Overriding
Exception Handling
File handling

Adv. Python & Python Analytics

MySQL
- Installation
- CRUD Operations (create, read, insert, update, delete)
Database Integration with Python
- Connection to Database from Python
- Writing functions to handle database operations
- CRUD Operations in python
Web Scrapping
- Beautiful SOUP library
- Parsing HTML files
- Getting Data from Any Website
Python for Data Science -
NumPy & Pandas
- Installing & Understanding Analytics Packages
- NumPy Array Operations
- Pandas Data Frame Operations
- Data Acquisition (Import & Export)
- Indexing
- Selection
- Sorting
- Filtering
- Group By
- Binning
- Concatenation
- Merge
Data Visualization
- Installing Matplotlib
- Charts & Plots
  - Histogram
  - Scatter Plots
  - Box Plots
  - Line Chart
  - Bar Chart
  - Pie Chart etc.

Statistics & Probability

Mean, Median, Mode, Variance, Standard Deviation
Skewness, Kurtosis, Correlation, Covariance
Probability Distributions: Normal, Binomial, Poisson
Sampling, Central Limit Theorem
Hypothesis Testing: t-test, z-test, ANOVA, chi-square
Confidence Intervals, p-values, Type I & II errors
Note – Statistics part will be taken along with ML & AI as and when required

Exploratory Data Analysis (EDA)

Data Preprocessing & EDA Overview
Handling missing values, outliers, duplicates
Encoding (One-hot, Label), Scaling (Standard, MinMax)
Feature engineering, selection techniques
EDA: Univariate, Bivariate, Multivariate analysis
Visuals: Heatmaps, Pairplots, Boxplots, Violin plots

Machine Learning

Supervised Learning
- Linear & Logistic Regression
- Decision Tree, Random Forest, KNN
- SVM with kernel functions
- Naive Bayes, AdaBoost, XGBoost
- Project 1: House Price Prediction
- Project 2: Email Spam Detection
Unsupervised Learning
- K-Means, DBSCAN, Hierarchical Clustering
- Dimensionality Reduction: PCA
- Project 3: Employee Role Segmentation
Model Evaluation & Optimization
- Metrics: Accuracy, Precision, Recall, F1, AUC, R2, RMSE
- Cross Validation, Stratified K-Fold
- Hyperparameter tuning: GridSearchCV, RandomizedSearchCV
- Imbalanced Data Handling: SMOTE, NearMiss

Time Series Forecasting

Time Series Analysis Basics
Trend, Seasonality, Noise, Stationarity
ADF Test, ARIMA, SARIMA
Facebook Prophet, Exponential Smoothing
Project 4: Sales Forecasting

Natural Language Processing (NLP)

NLP Basics
Text preprocessing: Tokenization, Lemmatization, Stopwords
BoW, TF-IDF, Word2Vec
Text Classification, Sentiment Analysis
Project 5: Sentiment Analysis of Product Reviews

Deep Learning

Artificial Neural Networks (ANN)
- Perceptron, Multilayer Perceptron
- Forward & Backward Propagation
- Activation, Loss functions, Optimizers
- Overfitting, Regularization, Batch Normalization
- Project 6: Iris Flower Classification using ANN
Computer Vision (CNNs for Image Processing)
- Convolution, Pooling, Padding
- Transfer Learning (VGG, ResNet)
- R-CNN, Faster R-CNN
- Project 7: Handwritten Digit Recognition
RNNs & LSTMs
- RNN, LSTM, GRU, Bidirectional RNN
- Sequence Modeling, Time Series, Text Generation
- Project 8: Next Word Prediction using RNN & LSTM

(Add on) : Transformers & BERT

Attention Mechanism, Transformer Architecture
Using Pre-trained Models (BERT, RoBERTa)
Embedding generation & fine-tuning
Project 9: Sentiment Analysis using BERT (Transformers)

(Add on) : Generative AI, LLMs (Large Language Models) & OpenAI

GenAI
- What is GenAI? Prompt Engineering
- Use cases: Q&A, Summarization, Image Generation
- Ethical concerns & safety
LLM Apps with OpenAI & LangChain
- Using ollama
- LangChain Pipelines, FAISS, ChromaDB
- Chat with PDF, CSV, Excel
- Project 10: Flow Stack Machine Learning Project

(Add on) : Deployment & MLOps

Web Deployment: Streamlit or Flask
Create AWS Instance
Model Deployment on AWS
Note - this module will be mostly online as trainers aare rare.

Power BI with A.I. & Power Automate

Introduction to Power BI
- What is Power BI and Why Power BI
- Installing Power BI Desktop
- Exploring the Power BI Workflow
- Adjusting the settings of the Power BI Desktop
- Comparison of Power BI vs Other Reporting Tools
Getting and Transforming Data with Power BI Desktop
- Connecting to different sources
- Connecting to multiple sources
- Different connecting Options(DirectQuery vs Import Data Vs Live Connection)
- Shaping and transforming data with Power Query
- Editing,Merging,Appending queries etc
Advance Importing techniques without coding
Data cleaning & Advance data cleaning
Modeling with Power BI
- Introduction to Modeling
- Building Relational Models(Setup and Manage Relationships)
- Creating table relationships
- Understanding the filter flow
- Cardinality and Cross filtering
DAX
- Understanding Dax Syntax
- Calculated Columns vs Measures
- Common Dax functions and formulae
- Understanding the evaluation context in DAX
Visualising Data with Reports
- Creating Visualisations
- Color & Conditional 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
- Constant Lines
- Tables, Matrices & Table Conditional Formatting
- KPI's, Cards & Gauges
- Map Visualisations
- Custom Visuals
- Managing and Arranging
- Drillthrough
- Custom Report Themes
- Grouping and Binning
- Bookmarks & Buttons
Introduction to Power BI Service
- Introduction to the Power BI Service
- Quick Tour of Power BI Service
- Connecting to Data from Power BI service
- Building Blocks of Power BI Service
Sharing and Collaboration Tools in Power BI Service
- Sharing and Collaboration Options Overview
- Publish from Power BI Desktop
- Publish Reports to Web
- Printing and Exporting from Power BI Service
- Sharing Reports & Dashboards
Power BI Refreshing Datasets
- What is refreshing?
- Implementation
A.I. in Power BI
Advance Report techniques
Power Automate (Latest)
- Introduction
- installation
- Types of flows
- Actions
- Copy multiple excel, pdf files from one folder
- Merge PDF files together, Rename etc.
- Extract phones name and price from amazon
Best Practices

Tableau

Installation and Configuration
Introduction to Tableau
- Architecture
- Data Model
- Data Connection with single data sources
- Data Joins
- Live vs extract connection
- Working with multiple data sources
- Data Blending
- Difference between joining and blending data
Tableau Interface
- Measures and dimension
- Shelves
- Show me
- Data Types
- Default Properties
- Marks Card
- Page Shelf
- Saving and sharing your work-overview
- Difference between .twb and .twbx
- Discrete vs Continuous
Date Aggregations and Date parts
- Cross tab
- Totals & Subtotals
Chart Types
- Bar Charts & Stacked Bars
- Pie Chart
- Line Graph with Date
- Line Graph without Date
- Area charts
- Tree Map
- Word Cloud
- Packed Bubble
- Box & Whiskers Plot
- Scatter Plots
- Highlight tables
- Heat maps
Data Visualization
- Geographical fields
- Map options
Run Time Columns
- Calculated Fields
- String Calculation
- Data Calculation
- Logical Calculation
- Numeric Calculation
- Parameters
- Table Calculations
- Level of detail
Data Formatting
- Legends
- Highlights
- Labelling
- Number Formats
- Alignment
Advanced Functionalities
- Sorting
- Groups
- Sets
- Hierarchy
- Reference and Trend Lines
- Edit Axis
- Bins
Filters
- Dimension Filter
- Measure Filter
- Filter - Display Option
- Context Filters
- Relevant Filters
- Sets in filters
- Conditional Filters
Advanced Charts
- Pareto
- Waterfall
- Funnel
- Waffel Chart
Predictive Analysis
- Forecasting
- Clusters
Dashboards
- Dashboard Objects
- Dashboard Actions
- URL
- Highlight
- Filter
- Advanced Interactivity
- Publish to Web
Story (Adv)
Report designing & exporting
Case Studies / Project
Data Visualization & Analytics
- Data Sources
- from SQL (MySQL)
- from Flat Files (CSV / Excel etc.)
- from Python

Adv. Excel with A.I.

Understand the Excel interface.
Learn basic navigation and data entry.
Excel Interface Overview
- Workbook vs. Worksheet
- Ribbon, Tabs, and Menus
- Cells, Rows, Columns
- Name Box and Formula Bar
Basic Navigation
- Moving around the worksheet
- Selecting cells, rows, and columns
- Using the Go To command
Data Entry and Basic Formatting
- Entering text, numbers, and dates
- Editing cell contents
- Basic formatting (font, size, color, cell alignment)
Saving and Managing Workbooks
- Saving, opening, and closing workbookss
- Save As options (different formats)
Summary Functions: SUM, AVERAGE, MIN, MAX, SUMIF, COUNTIF, AVERAGEIF, SUMIFS, COUNTIFS, AVERAGEIFS
Using AutoSum
Cell Referencing
- Relative vs. Absolute References
- Mixed References
Organize and manage data efficiently
Sorting and Filtering Data
- Sorting by one or multiple columns
- Applying filters to display specific data
- Using Filters using effectively
Using Tables
- Creating and formatting tables
- Table styles and features (Total Row, Header Row)
Data Validation:
Creating drop-down lists
Setting data entry rules
Conditional formatting:
- Conditional formatting using ifs function, greater than, lower than and equal between
- Conditional formatting using colours
- Conditional formatting using colour scales, data bars & Icon sets
Use advanced formulas and functions
Logical Functions
- IF, AND, OR, NOT
** Loopkup Functions **
- VLOOKUP, VLOOKUP WITH MATCH FUNCTION, VLOOKUP WITH COLUMN & ROW FUNCTION, VLOOKUP WITH SEQUENCE FUNCTION, VLOOKUP WITH CURLY PARANTHESIS FUNCTION, VLOOKUP WITH SUMIF, SUMIFS, COUNTIF & COUNTIFS FUNCTIONS, VLOOKUP WITH MATCH FUNCTION, INDEX & MATCH, XLOOKUP, XLOOKUP WITH CONCATENATE FUNCTIONS
Text Functions
- CONCATENATE, LEFT, RIGHT, MID, LEN
Date and Time Functions

TODAY, NOW, DATE, TIME, YEAR, MONTH, DAY, EOMONTH

** Office 365 function **
- Transpose
- Textjoin
- Sequence
- Filter
- Xlookup
- Vstack
- Hstack
- Aggregate and many more
** Pivoting - Analyze data using built-in Excel tools**
Introduction to PivotTables

What is a PivotTable?
Benefits and uses of PivotTables

Creating a PivotTable

Preparing your data
Inserting a PivotTable from various data sources

Understanding PivotTable Components

Rows, Columns, Values, and Filters areas
Field List and Field Settings

Basic PivotTable Operations

Adding and arranging fields
Sorting and filtering data within PivotTables
Grouping data (by dates, numbers, etc.)

Customizing PivotTables

Changing the layout and style
Using different PivotTable layouts (Compact, Outline, Tabular)
Formatting numbers and cells

Calculations in PivotTables

Adding calculated fields and items
Using summary functions (SUM, COUNT, AVERAGE, etc.)
Showing values as percentages, differences, rankings

PivotTable Options and Settings

Understanding PivotTable options
Refreshing data in PivotTables
Changing data source

PivotCharts

Creating PivotCharts from PivotTables
Customizing and formatting PivotCharts
Understanding the relationship between PivotTables and PivotCharts

Advanced PivotTable Techniques

Creating dynamic PivotTables with named ranges
Using Power Pivot to manage large data sets
Connecting PivotTables to external data sources

** Create and customize advanced charts and graphs **
Creating Charts

Column, Bar, Line, Pie, and Combo charts
Customizing chart elements (titles, axes, legends)

Using Sparklines

Creating line, column, and win/loss sparklines

Advanced Chart Techniques

Dynamic charts with named ranges
Using secondary axes

** Automate tasks using Macros and VBA **
Introduction to Macros

Recording and running macros
Macro security settings

Basics of VBA (Recording):

Starting with the recording Macros
Recording of Macros
Saving and running of Macros

Creating Custom Functions

Writing and using custom functions in VBA

** Collaborative and security features **
Sharing and Collaboration

Sharing workbooks
Co-authoring and tracking changes
Comments and notes

Protecting Data

Worksheet and workbook protection
Setting permissions

Excel Online and Mobile

Using Excel in Office 365

** Power Query **
Introduction to Power Query

What is Power Query?
Importance and benefits of using Power Query

Getting Started with Power Query

Installing and accessing Power Query
Power Query interface and key components

Connecting to Data Sources

Types of data sources (Excel, databases, web, etc.)
How to connect to different data sources

Data Import and Shaping

Loading data into Power Query
Basic data transformation (filtering, sorting, removing duplicates)

Transforming Data

Using the Query Editor
Applying common transformations (merging, appending, splitting columns)
Pivoting and unpivoting columns
Grouping data

Data Cleaning

Handling missing values
Data type conversion
Text transformations (trim, clean, replace, etc.)

Working with Functions

Using built-in functions
Creating custom functions
Parameters in Power Query

Advanced Data Transformations

Merging queries
Append queries
Using conditional columns
Calculating and adding new columns

** Scenario manager**
** Dashboards (Project) **
- What are dashboards
- Getting data from differnt worksheets
- Display data in various charts on same sheet etc.
** ChattGPT (A.I. in Adv Excel)**
- Note - Since co-pilot licenseis costly, hence teaching similar topics on ChatGPT
- Introduction
  - Introduction to ChatGPT by OpenAI
  - Benefits of using ChatGPT with Excel
- Using ChatGPT Interface for Excel
  - How to use ChatGPT without subscription
  - Copy–paste workflow with Excel
  - Writing effective prompts for Excel tasks
- Data Analysis Using ChatGPT using Natural Language/li>
- Formula & Function Assistance
  - Generate Excel formulas using AI
  - Explain existing formulas
  - Fix formula errors
  - Optimize and simplify formulas
- Data Cleaning with AI
  - Identify missing or incorrect data
  - Remove duplicates
  - Standardize text, dates, and numbers
  - Suggest cleaning formulas and steps
- Tables, PivotTables & Charts
  - Create Excel tables
  - Generate PivotTable structure using prompts

Git & GitHub

Git & GitHub Basics
- What is Git?
- What is GitHub?
- Difference between Git and GitHub
- Local Repository vs Remote Repository
- Initializing a Git project (git init)
- Cloning a repository (git clone)
- Staging changes (git add)
- Commit changes (git commit -m)
- Push code to GitHub (git push)
- Pull latest code (git pull)

AI Tools & Prompts

Popular AI Tools & AI Assistants
- ChatGPT
- Gemini
- Claude
- Perplexity
- Free vs Paid AI Tools
- Choosing the Right Tool
Prompt Engineering Fundamentals
- What is Prompt Engineering?
- Components of a Good Prompt
- Basic Prompting
- Role-Based Prompting
- Common Prompt Mistakes
- Improving AI Output Quality
AI for Technical Tasks

Duration

10-12 Months
Eary completion option (6-8 months, chosen by many)
• Learn 1 course on weekdays + 1 less-interconnected course on weekends for faster job readiness. more info

Fees

Online -
₹55000 (4 installments)
₹52500 (2 installments)
₹50000 (1 time)
Classroom -
₹XX000 get fees
Fees inclusive of GST • Limited seats per batch • Book Your Free Demo Today • International Students, please convert fees in your currency

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✅ 100% Job Oriented Course
✅ Instant Activation
✅ 1 Year Access
✅ 100% Refund Policy
✅ 6-months Partial or Lecture wise refund policy
✅ Training Material
✅ Software Installations
✅ Basic to Adv. Modules
✅ Certificate
✅ Project / Case Study
✅ Interview Preparation... etc.

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Best IT Training, Since 2014

ISO & MSME Certified

Expert Trainers

100% Practical Training

Job Ready Curriculum

Projects / Case Studies

Short Batches, Individual Attention

Online / Offline / Hybrid Batches

Lecture Recordings as applicable

Interview & CV Preparation

Get Certified

Reasonable Fees

Free Demo

1000+ Companies

Best Placement Service etc.

1000+ Companies

(few mentioned below)

Company names are hidden to avoid others compete our students, can check names in institute.

This is a combined list for all courses because companies work in multiple technologies.

Inf…. Infotech
Tr….. Global Consulting Pvt. Ltd.
Pu…... Solutions India Private Limited
Ga…... Technologies Pvt. Ltd.
Pi... Technology
Em... Technologies Pvt. Ltd.
Ndim........... Solutions Pvt Ltd
Star Union …......
Hum…......... Technologies Pvt. Ltd
Neo…... Pvt Ltd
Lo…... Solutions Private Limited
Co…...... Solution
Ve…...... Systems Pvt.Ltd
Shriya …............. Solutions, Pvt. Ltd
Val….......... Technologies Pvt Ltd
Tr…..... Technologies
Mae…....... Infotech Ltd.
Hu…. Systems Private Limited
Ve…. Solutions Pvt Ltd
Capgemini
Lio…......... Technologies
Elec…...... India Pvt Ltd (R & D Center)
Int…...t Bizware Services Pvt .Ltd
Ne…..n Software Technologies
Car….. Innovations Pvt. Ltd
AT…. INDIA
Big…. Technologies Pvt. Ltd.
Biz….... Solutions
D... Consultants
eC….. Services Ltd
Ema…......... Technologies
In…. HR Pvt Ltd.
Ne…......t Design - Website Development
U….t Technologies
R…....d Technologies
Bl…............ Systems Infotech Pvt. Ltd.
Ne….. Solution Pvt Ltd
Con…....... Software & Systems
Quo…....... - A Technology Company
AX... Technologies Pvt Ltd
ANALYTIC…....... SOFTWARES PRIVATE.
Hi…...... Infotech Services
In…........ Business Solutions Pvt Ltd
In…............. Knowledge Solutions Pvt Ltd
Ge…..... Healthcare Solution
Cre…...... India Pvt Ltd
Qu…...... Intelligence Pvt Ltd
VE…... ALT…. INDIA PRIVATE LIMITED
Max….... Technologies Pvt .Ltd
Min…....... Software Technologies Pvt. Ltd
Ne…...... Systems Ltd
Quality Ki…...
Mso….. Solutions
Sarla …............ Pvt. Ltd
S….n …...... Technologies Pvt. Ltd.
R... Analytics
Tark….......a Technologies
Sy…......s Solutions
Co…. Consultancy Services Pvt Ltd
Chem…............... technologies
Atos Syntel
Le…............ Consulting Pvt Ltd
NTT DATA
SA… Technologies Private Limited
Ora…....... Solutions Pvt ltd
T…......nect Media Services
SYS….....E INFOTECH
MU…................AAR PVT LTD
BLO…..........EMS PRIVATE LIMITED
Allied…............... Pvt. Ltd.
Pres…......... Digital India Pvt. Ltd.
Aim…..... Softech Pvt. Ltd.
Red…........ Pharmtech Pvt. Ltd.
Suthe….......
Es…...... Comp…............ Pvt Ltd.
He….................. Technologies India Private Limited
…. 1000+ Companies ...check full list in institute

+ Dedicated Placement Team
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Outcome - Lots of students placed in ongoing training or within just 30 days of completion. Students got 2.8LPA, 3LPA, 3.4LPA, 3.7LPA, 4LPA, 4.5LPA, 6LPA, 8.2LPA & more packages.

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From training to landing a job, we stay with you at every step! Get end-to-end placement support, continuous expert guidance, proven placement guidelines, interview preparation, our network of 1000+ companies and a dedicated placement team helping you get hired faster. Placing Students Since 2014.

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What our Students Say

check company names in institute.

Raj Patil

I completed my training at QuickXpert Thane and had a great learning experience. The teaching method was practical and easy to understand. Trainers were supportive and explained concepts clearly. The HR was very helpful and guided me throughout the placement process. Overall, it helped me build confidence and prepare for job opportunities.
Ashish Adsule

I had a great experience at QuickXpert Infotech. The training provided here is very helpful and industry-oriented. I would especially like to thank Shruti Ma’am (HR) for her constant support and guidance during the placement process. She was always helpful and motivating. Also, a big thanks to Narendra Sir for making my logic strong and explaining concepts clearly. For front-end, Ankit Sir is one of the best trainers. His teaching style is very easy to understand and practical. Overall, it was a wonderful learning experience and I highly recommend this institute to anyone who wants to build a strong career in IT.
Kalpesh Tambe

Learning Software Testing from Hemangi Ma'am at QuickXpert Infotech was a great decision. The course is well-structured, and every concept is explained clearly with hands-on practice. She is always ready to answer questions and provide extra support whenever needed. Highly recommended!

Shivani Shetty

My overall experience in your class was good. The teaching method is easy to understand, and I appreciate the efforts you put into the sessions. I was able to learn new things, and I am thankful for that.

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Aman Rajbhar

Good place learn and place.

Varun Puthran

I completed my Digital Marketing course and internship at QuickXpert Infotech, and my overall experience was very good. The classes were simple to understand and covered all the important digital marketing topics like SEO, Social Media Marketing, Google Ads, and Email Marketing. The trainer explained everything clearly with real examples and was always ready to solve doubts. The internship helped me apply what I learned in practical tasks. It gave me confidence and real working experience in digital marketing. The institute also provides job placement support. They shared job openings regularly and guided me for interviews. The placement team is helpful and supportive. Overall, QuickXpert Infotech is a good institute for learning Digital Marketing with clear teaching, practical training, a useful internship, and good placement assistance.

Priyanka Sarekar

I have completed the Software Testing course at QuickXpert Infotech, and it was a great learning experience. The course is well-structured and covers Manual Testing, Automation Testing, API Testing, SQL, and interview preparation with practical examples. A special thanks to Hemangi Ma'am for her excellent teaching, clear explanations, and constant support throughout the course. She always takes the time to clear doubts and ensures every concept is easy to understand. I highly recommend QuickXpert Infotech to anyone looking to build a career in software testing.

Divya Gorule

I recently completed the Web Development course under the guidance of Ankit Shinde , and it was an outstanding experience! The curriculum was well-structured, beginner-friendly, and covered everything from HTML/CSS to JavaScript and backend fundamentals. Ankit sir's teaching style is clear, practical, and easy to follow. He ensures that every student understands the concepts and provides real-world examples and projects to build confidence. Highly recommend this platform for anyone looking to start a career in web development. Thank you for this valuable learning journey!

Nikita Pardeshi

I completed the Data Analyst course at QuickXpert, and it was a great learning experience. The trainers explained SQL, Excel, Python, and Power BI concepts clearly with practical examples. The hands-on projects helped me improve my skills and build my portfolio. The placement support team was also helpful throughout the job search process. I would recommend QuickXpert to anyone looking to start a career in Data Analytics.

Nitesh Patel

I had a wonderful experience with Masstech Business Solutions through Quick Xpert. Their dedication to 100% placement support is exceptional. From resume building workshops to personalized mock interviews, they prepared us comprehensively for the job market. Their strong industry connections opened doors to many reputable companies, and their regular feedback sessions and performance evaluations were key in tailoring the training programs to meet our needs. Masstech's proactive approach and commitment to student success significantly impacted my career journey. Highly recommend them!

Your Journey to Success Begins Here
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Know more about us
✓ Best Institute for Job-Focused IT Training to Placement Programs. Trusted by thousands of students, parents & leading corporates as their preferred training choice. We are a Skill India, NASSCOM, Future Prime, ISO, MSME Certified institute and into IT training and placmeents since 2014.
✓ Training Modes - Live Online and Classroom
✓ Trained Globally - Trained students both in India and globally from countries like US, UK, Germany, Dubai etc.
✓ Courses & Training Programs - Multiple courses and training programs to meet your training needs. Check header for more info.
✓ Training options - Job Oriented & Job Guarantee Training Programs available. ✓ Live projects - ProposalFinder.com, theVibrantBirdie, CRM etc.
✓ Best Placement Service:
⇒ 1000+ companies
⇒ Dedicated HR for placements
⇒ For quick results, placement support starts in ongoing training (criteria-based) or by default on completion.
⇒ As a result, lots of students got placed in ongoing training or within just 30 Days of completion of training!! Check photos with company names on placement page.
✓ More Benefits:
⇒ 1-on-1 Attention & Doubt Solving
⇒ Comprehensive Syllabus
⇒ Interview Preparation
⇒ Resume Building
⇒ Projects
⇒ Globally-Recognized Certification
⇒ Reasonable Fees
⇒ Installments available
⇒ FREE Demo etc.
please visit homepage for more info.

Placing Students Since 2014

You can be the Next
Enroll > Learn > Succeed

Fees / Details
do you train international students?
Yes, we have trained from countries like US, UK, Germany, Dubai, Australia etc. in our live online batches.

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when is your upcoming demo?
Every Week.

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when is your upcoming batch?
New batches at regular intervals. Limited seats per batch. Please contact institute for more info.

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how online trainings conducted?
Trainer will be live and not pre-recorded sessions. Online Live batches conducted on Zoom, Gotomeet, Google Meet etc. Free Lecture / Free Demo / Lecture Recordings available. Please contact institute for more info.

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what will be the batch size?
Short sized batches for personal attention.

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do you provide corporate trainings?
Yes. We have provided Corporate Training to GeBBS Healthcare Solutions, PDG Software India Pvt Ltd, NVest Solution Pvt Ltd, GMV India Pvt Ltd etc. companies.

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will I get course completion certificate?
Yes. We are an ISO registered institute, hence you get a valid course completion certificate accepted in the industry.

Fees / Details
where do you provide placement calls?
At presnt in Mumbai only. Other cities students you can still enroll in this powerful training program in order to get ample interview calls when you upload your resume with the skill sets learnt in job guarantee programs.

Fees / Details
what are easy placement guidelines?
We assist students in securing employment opportunities once they meet certain criteria, either during or after course completion. In order to maintain healthy learning and placement environment students enrolling in this course need to follow below terms. need to abide by our eligibility criteria and terms - a student must have minimum 50% marks in 10th, 12th and graduation with maximum three years of gap after completion of graduation for freshers and for experienced, the age limit is maximum 30 years. If not meeting this criteria or if you don't attend 4 interview calls provided by our institute or if you reject an offer provided by our hiring companies, then job guarnatee will no longer be applicable, however in best intetest of the students, placement support will be continued and exteded until the student is hired until fifteen months from completion of training which is a sufficiently long duration of placement support, coz Your Career Matters.

Therefore, as long as you abide by above terms, there will be no limit in interview calls from our side as per the requirements we get from our hiring companies until the student gets hired, coz
Your Career, Our Priority.

why these guidelines? To make our placement process smooth and effective and it ensures student's active participation in overall training and placement process required for their success.

Successfully Helping Students Get Placed Since 2014!
You Can Be the Next
Enroll → Learn → Succeed.

Fees / Details
will my course complete on time?
Mostly yes, coz we make sure training sessions are aligned properly. Duration mentioned on page is approx months required to complete the course. It can be slightly more or less depending on level of understanding of the students in the batch.

Fees / Details
Do you provide laptops for practice?
Yes
Can i bring my laptop for practice?
Yes
More queries?
please visit job guarantee page and also talk to our counsellors

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Contact Us

Office no. 101 & 102, 1st Floor, Pahlaj Kunj, Lohar Ali Road, Landmark - Jagdish Book Depo, Shivaji Path, near Thane w. rly. stn., 3 mins walk.

Mon to Fri - 10.30am to 7.45pm, Sat upto 7pm & Sun upto 5.30pm

Recent Top Placement: 8.2 LPA

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Best Data Science Course in Atlanta with 100% Job Placement Guarantee

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Syllabus

Syllabus

MySQL

Python

Adv. Python & Python Analytics

Statistics & Probability

Exploratory Data Analysis (EDA)

Machine Learning

Time Series Forecasting

Natural Language Processing (NLP)

Deep Learning

(Add on) : Transformers & BERT

(Add on) : Generative AI, LLMs (Large Language Models) & OpenAI

(Add on) : Deployment & MLOps

Power BI with A.I. & Power Automate

Tableau

Adv. Excel with A.I.

Git & GitHub

AI Tools & Prompts

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Tools

Training Samples

Online Training Fees

Limited Time Offer

Classroom Training

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Self Paced Learning

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1000+ Companies

100% Job Placement Guarantee

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