Best Data Science Certification Course in Thane

Learners 1000+
  • Best Data Science Course in Thane to Learn in Online / Classroom Format from Best Data Science 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 hired until 9 months (more than sufficient), can be extended upto 15 months in case required.

      

    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

  • Fees / Details

Syllabus

Data Science & A.I. Course
  • 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
  • Analytic (Window) Functions
    • Top N Analysis
    • Over() with summary functions
    • Partition By Queries
    • ROW_NUMBER()
    • RANK()
    • DENSE_RANK()
  • Transactions ( T SQL)
    • Commit
    • Rollback
    • Savepoint
  • DCL - Grant & Revoke
  • Project
  • 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
  • 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 - 6.5 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.

Fees / Batches

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 / Batches

Recorded Course

Our Online Batch Recording Course
(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
✅ 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 ...

Enroll & Start Learning Straight Away Right Now!

  

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Fees / Details

100% Job Oriented Courses & Programs

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100% Job Placement Programs

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Why get Trained from us?

Best Institute
ISO Certified, Since 2014
Learn from Experts
Industry Level Syllabus
100% Practical Training
Certification Course
Personal Attention
Projects / Case Studies
Interview Preparation
CV Guidance
EMI Facility
FREE Demo
1000+ Companies
Placements
Lots of students placed in ongoing training or within just 30 days of training completion

You can be the Next Placed Student

Certification

Get Certified - Get a valid course completion ISO certificate accepted in the industry.

QuickXpert Certificate Format

Contact Us


Mon to Sat - 9.30am to 7.45pm & upto 5.45 pm on Sun

Call us -
+91-7506252588
+91-7276681665

Email -
Office no. 101 & 102, 1st Floor, Pahlaj Kunj, Lohar Ali Road, besides Karnavat Classes, near Jagdish Book Depo, walkable from Thane west rly stn.

Overall 1000+ Companies for Placements
(few mentioned below)

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FAQs

  • 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

  • Upcoming demo

    Every week.

    Book Demo

  • Upcoming batch

    New batches at regular intervals. Limited seats per batch.

    Upcoming Batches

  • Batch size

    Short sized batches for personal attention.

    Inquire Now

  • 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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  • 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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  • What if i miss a session?

    We record both classroom and online lectures. Hence, lecture recording or repeat lecture will be provided.

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  • Do you provide corporate trainings?

    Yes. Our Corporate Clients - NMIMS (among top MBA colleges in India), GeBBS Healthcare Solutions, PDG Software India Pvt Ltd, NVest Solution Pvt Ltd etc.

    Inquire Now

  • 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.

    Get Offer

  • Do you provide computers / laptops for practice?

    Yes

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  • Can i bring my laptop for practice?

    Yes

    Inquire Now

  • More queries

    please visit home page and also talk to our counsellors

    Fees / Details

Placements

please visit placement page for more

You can be the Next Placed Student
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