Best Artificial Intelligence Course Training in Thane - Fees, Placements

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  • Best Artificial Intelligence Course in Thane to Learn in Online / Classroom Format and Get Certified from Best Artificial Intelligence Training Institute QuickXpert Infotech known for Quality Training in Reasonable Fees and Placements!

  • About Our Data Science Certification Course -

    Learn from basics of Python to advanced A.I. and Analytics modules with projects and job placement support to become a Data Science Professional in short duration.

  • Best Placement Service -

    End to End placement support and continuous expert guidance until you get job until 9 months(more than sufficient), can be extended upto 15 months in case required. You can be the next placed student, enroll today.

      

    Fees / Details

  • Jobs Roles Targeted -

    Data Science Engineer, Machine Learning Engineer, Data Analyst etc.

  • Pre-requisites -

    None. Any one from IT & non IT can learn.

  • Note -

    Adv. Data Science & Analytics training available

  • Inquire Now
  • Duration -

    Pkg1 - 3.5 months
    Pkg2 - 6 months
    (customized training available)

  • Workshop & Corporate Training -

    full day workshops/corporate trainings available for groups, colleges and corporates

Syllabus

Data Science & A.I. Course
  • Introduction & Installation
    • Introdution to Python & Python Analytics or Adv. Python
    • Python / Anaconda Installations & Configuration
  • Programming Basics
    • Variables
    • Data Types
    • User Inputs
    • Unpacking
    • Boolean Practice
    • What If, Else and If, Making Decisions
    • Loops
  • Functions
    • Creating Functions
    • Using Built in Functions
  • OOPs Programming
    • Modules
    • Classes & Objects
    • Inheritance
    • Overloading
    • Composition
  • Data Structures
    • List
    • Tuple
    • Set
  • Exception Handling
  • MySQL Server Setup
    • Installing and Configuring MySQL Server
    • Creating Database
    • CRUD Operations
    • Create Tables
      • Insert
      • Update
      • Delete
  • Database Integration with Python
    • Connection to Database from Python
    • Writing functions to handle database operations
    • CRUD Operations in python
  • Web Scrapping
    • Getting Data from Any Website using Python (new)
  • Data Analytics in Python
    • Installing & Understanding Analytics Packages
    • NumPy Array Operations
    • Pandas Data Frame Operations
    • Data Acquisition (Import & Export)
    • Indexing
    • Selection
    • Sorting
    • Filtering
    • Group By
    • Binning
    • Concatenation
    • Merge
    • Append
    • Drop
  • Data Visualization in Python
    • Installing Librarires
      • Matplotlib
      • Seaborn
    • Charts & Plots
      • Histogram
      • Scatter Plots
      • Box Plots
      • Line Chart
      • Bar Chart
      • Pie Chart etc.
    • Dashboards
    • Project
  • Beautiful SOAP library
  • Project
  • Learn Statistics, Machine Learning (ML) & Adv. ML
  • Introduction & Configuration
    • Introduction to Machine Learning & Data Analysis
    • Types of machine learning (supervised, unsupervised, reinforcement)
    • Machine Learning Workflow
    • Installing & Using Scikit-Learn Package
  • Data Preprocessing
    • Data cleaning and preparation
    • Handling missing values
    • Feature scaling and encoding
  • Statistics & Exploratory Data Analysis (EDA)
    • Descriptive Statistics
    • Descriptive Analytics
    • Measure of Central Tendency
    • Dispersion
    • Probability Distribution
    • Correlation & Covariance
    • Inferential Statistics
    • Diagnostic Analytics
    • Outliers | Missing Values
    • Sparsity
    • Inferential Statistics
    • Random Sampling
    • Hypothesis Testing
       
  • Supervised Learning
    • Linear Regression
    • Multi-Linear Regression
    • Decision Tree (CART)
    • Ensemble Learning
    • Random Forest
    • xgBoost
    • K Nearest Neighbors (KNN)
    • Support Vector Machine (SVM)
    • Kernel Functions
    • Naive Bayes Classifier (NBC) / MultinomialNB Algorithm
    • GRID SEARCH CV AND RANDOM SEARCG CV
    • Linear Discriminant Analysis (LDA)
       
  • Unsupervised Learning
    • Hierachical Clustering
    • K Means Clustering
       
  • Dimensionality Reduction
    • Principal Component Analysis (PCA)
       
  • Time Series Forecasting
    • Time Series Data
    • Trend Chart
    • Stationarity
    • Seasonality
    • Moving Average
    • Exponential Smoothing
    • ARIMA
    • GARCH
       
  • Model Improvement & Validation
    • Regularization
    • Lasso
    • Ridge
    • ElasticNet
    • Cross Validation
       
  • Methods
    • Sigmoid Function
    • Entropy
    • Information Gain
    • Gini Index
    • Feature Selection
    • Ensemble Modeling (Bagging | Boosting | Stacking)
    • K Selection / Distance Metrics
    • Kernel Functions
    • Elbow Method
       
  • Metrics
    • MAE / MSE/ RMSE / R2 and Adjusted R2
    • AUC ROC CURVE
    • Precision
    • Recall
    • F1 score
    • Confusion Metrics
  • Only Theory
    • SMOTE and near miss
    • EXTRA TREE CLASSIFIER (Random forest)
    • TPOT
    • LOG LOSS
    • CROSS VALIDATION
    • KERNAL PCA
    • LIGHT GBM and cat boosting
    • DBSCAN
    • MINI BATCH K MEANS
    • Passive Aggressive Classifier Algorithm
    • Facebook Prophet
    • time series RNN LSTM
       
  • When to Use Which Algorithms!
     
  • Multiple Projects / Case Studies
  • Intro to AI & Neural Networks
    • Deep Learning vs Machine Learning
    • Tech Advancement
    • All about Artificial Neural Networks (ANN)
    • Understand How Deep Neural Network Works?
    • Different variants of Gradient Descent
    • Stochastic Gradient Descent vs Adam vs Others
    • Hyper parameter Tuning
    • Batch Size
    • Learning Rate
    • Momentum
       
  • Deep Learning in Python
    • Deep Learning packages in python
    • Google TensorFlow Framework
    • Model Building with default TFLearn API
    • Keras Vs TFLearn Vs Pycharm APIs
    • Model Building with Keras API Wrapper
    • Activations
    • Optimizers
    • Losses
    • Validation
    • Evaluation Metrics
    • Keras Backend
    • Callbacks - Early Stopping, TensorBoard
       
  • CNN - Convolutional Neural Networks
    • Understanding Architecture & Visualizing a CNN
    • Stochastic Gradient Descent vs Adam vs Others
    • Hyper parameter Tuning
    • Batch Size
    • Learning Rate
    • Momentum
       
  • Transfer Learning
    • vgg16
      • Activations
      • Optimizers
      • Losses
      • Validation
      • Evaluation Metrics
      • Keras Backend
      • Callbacks - Early Stopping, TensorBoard
    • vgg19
      • Kernel
      • Depth
      • Pooling
    • resnrt 50
       
  • NLTK
    • Simple NLTK
      • Stemming
      • Lemitaization
      • Regex
      • Stopwords
      • Corpus
      • Unigram
      • Bigram
      • Trigram
    • BAG fo words(count vectorization)
    • TD-IDF-term frequency inverse document frequency 1
    • Word embedding
      • word 2 vec --cbow / skipgram
      • glove
    • Fasttext
    • Keyed vector
    • LSTM / RNN (bidirentional)
    • GRU(theory - Arthiecture build )
       
  • Multiple Projects / Case Studies
  • Oracle 18/21c Installation
  • Basics
    • Oracle Basics
    • Database models
    • ER Model Overview
    • Data types
    • Understanding Test Database
    • Basics Queries
    • Arithmetic and String functions
    • DML Operations - Insert, Update and Delete
    • FETCH command - Top N, Top % Rows
  • DDL
    • Tables - Create, Alter, Drop
    • Indexes - Types, Create, Drop
    • Constraints - Not Null, Primary Key, Unique Key, Foreign Key
    • Sequence
    • Synonyms
  • Foreign Keys
  • DML operations - Insert, Update & Delete
    • Insert, Update, Delete & Truncate
    • Common Operations
    • Creating Tables using queries
    • Bulk Data Inserts using Queries
  • Writing Queries
  • Filters
    • DISTINCT
    • BETWEEN
    • IN
    • LIKE
    • NOT
    • NULL
    • AND, OR, NOT etc
    • Using Complex Data Filtering Techniques
  • Sorting
    • Ascending Order
    • Descending Order
    • Complex Sorting
  • Functions
    • String Functions - lower case, uppercase, substring, instring, trim etc.
    • Number Functions
    • Date Manipulation
    • Null Value Functions - NVL, NVL2, NULLIF, COALESCE
    • Conditional Expressions - Case and Decode
  • Groups
    • Basics
    • Grouping functions - AVG, MIN, MAX, COUNT, DISTINCT COUNT etc
    • Grouping Filters - HAVING
    • Rollups & Cubes
  • 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 Row Sub Query
    • Multi Valued Sub Query
  • Views
  • Inline Views
  • ROWID & ROWNUM
  • TOP N Analysis using Complex Inline View
  • Transactions ( T SQL)
    • Commit
    • Rollback
    • Savepoint
  • DCL - Grant & Revoke
  • Project
  • 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
    • Workspaces (My Workspace vs App Workspace)
    • Publishing Apps in Power BI Service
    • Row Level Security in Power BI Desktop and Service
  • Power BI Gateway and Refreshing Datasets
    • Understanding Gateways in Power BI
    • Difference between Personal and On-Premise Gateway
    • Installation of Personal Gateway
    • Installation of On Premise Enterprise Gateway
    • Setting Up a Gateway in Power BI Service
    • Understanding Data Refresh(Manual vs Scheduled Refresh)
    • Troubleshooting Refreshing scenarios
  • A.I. in Power BI
  • Advance Report techniques
  • Best Practices
  • Pkg1 - Data Science - 3.5 to 4 months
  • Pkg2 - Data Science & Analyst - Pkg1 + SQL + Power BI - 6 months
  • Individual courses / Customized training available
  • Batches | Fees
  • Live Online:
  • Data Science - ₹28000 - ₹23000 (Limited Period)
  • Data Science & Analytics - ₹42000 - ₹36000 (Limited Period)
  • Individual courses / Customized training available

  • Classroom - Get Fees
  • Fees inclusive of GST
  • Upcoming Batches

Tools You Will Learn

Data Science Projects

Few of the projects covered in one of our batches

Online Live Training


✅ Online Live Interactive Lectures conducted on Zoom, Googlemeet etc. & not pre-recorded sessions.
✅ 1-2-1 Online Doubt Solving via screen share.
✅ Free Lecture / Free Demo / Lecture Recordings available.
✅ 100% refund if you don't understand first 2 lectures.

Today's Offer:

0 Days
:
2 Hours
:
40 Minutes
:
20 Seconds
Fees

Total Discount On Full Course 5% off on Multi Course Pay
0 - 0 - 0 0
✅ Fees inclusive of GST
✅ EMI / customized training available
✅ Enroll / Queries? - Contact Us
Batches

Please Note : If unable to find your preferred timings, then please contact us so that we can arrange a suitable batch for you. Customized training available.

Classroom Training


✅ Interactive Classroom Lectures.
✅ 1-2-1 Doubt Solving.
✅ Free Lecture / Free Demo / Hybrid Learning Mode available.
Please submit inquiry form or visit institute for fees and batches.
Please submit inquiry form for Fees & Batches.

Fees / Details

Self Paced Learning + PLACEMENT SUPPORT

(If video goes blank, means practice time is given. For best experience watch without skipping.)

Today's Offer


Overview :

Duration : + your practice time

Benefits:


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

Best for those who want to learn Job Oriented Course at Own Pace Anywhere AnyTime!


More Info :-

Who can enroll? - Freshers, Beginners, Exp. etc. those who want to learn job oriented courses at own pace at own time.

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Lots of students placed in ongoing training or within just 30 days of training completion

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Mon to Sat - 9.30am to 7.30pm & upto 5.45 pm on Sun

Call us -
+91-7506252588
+91-7276681665

Email -
inquiry@quickxpertinfotech.com

Office no. 101 & 102, 1st Floor, Pahlaj Kunj, besides Karnavat Classes, Lohar Ali Road, near Jagdish Book Depot, 3 mins walk from Thane west rly stn.

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FAQs

  • Best Placement Service

    End to End placement support and continuous expert guidance until you get job until 9 months(more than sufficient), can be extended upto 15 months in case required.

    You can be the Next Placed Student

    Inquire Now

  • More info about QuickXpert Infotech

    Best Institute for IT Training & Placements, ISO Certified, Students & Corporate Trainings, Reasonable Fees, Excellent Feedback, 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.
    ✓ Training options - Job Oriented & Job Guarantee Training Programs available.Live projects - ProposalFinder.com (major), BiodataKing.com, theVibrantBirdie.com 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.
    Other Benefits:
    ⇒ 1-on-1 Attention & Doubt Solving
    ⇒ Live Projects / Case Studies
    ⇒ Comprehensive Syllabus
    ⇒ Interview Preparation
    ⇒ Resume Building
    ⇒ Reasonable Fees
    ⇒ Installments available
    ⇒ FREE Demo etc.

    You can be the Next Placed Student

    Inquire Now

  • 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

    Have Any Requirements?

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  • Do you train international students?

    Yes, we train students from countries like US, UK, Germany, Dubai, Australia, New Zealand etc. on regular basis in live online batches.

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  • What if i miss a session?

    We record both classroom and online lectures. Hence, lecture recording or repeat lecture will be provided. Again in case you are not able to attend a classroom lecture then you can join same lecture online because our training is hybrid learning mode. Please submit inquiry form for more info.

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  • Batch size

    Short sized batches for personal attention.

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  • Upcoming demo

    Every week.

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  • Upcoming batch

    New batches at regular intervals. Limited seats per batch.

    Upcoming Batches

  • Duration

    Duration mentioned on page is approx months and hours which is an average time to complete the course and batch you choose. Weekday batches will be 4 days a week and weekends 2 days. For more info please contact institute.

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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.

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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.

  • Group discounts

    Yes available.

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  • Do you provide computers / laptops for practice?

    Yes

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  • Can i bring my laptop for practice?

    Yes

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  • More queries

    please visit home page and also talk to our counsellors

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Placements

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