DATA SCIENCE CERTIFICATION AUTHORITIES

Data Science Course Features

DATA SCIENCE COURSE LEAD MENTORS

DATA SCIENCE COURSE FEE IN GHAZIABAD

Live Virtual

Instructor Led Live Online

110,000
59,451

  • IABAC® & NASSCOM® Certification
  • 8-Month | 700 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

66,000
34,951

  • Self Learning + Live Mentoring
  • IABAC® & NASSCOM® Certification
  • 1 Year Access To Elearning
  • 25 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Leaner assistance and support

Classroom

In - Person Classroom Training

110,000
64,451

  • IABAC® & NASSCOM® Certification
  • 8-Month | 700 Learning Hours
  • 120-Hour Classroom Sessions
  • 25 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship + Job Assistance

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UPCOMING DATA SCIENCE ONLINE CLASSES IN GHAZIABAD

BEST DATA SCIENCE CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA SCIENCE COURSE

Why DataMites Infographic

SYLLABUS OF DATA SCIENCE COURSE IN GHAZIABAD

MODULE 1: DATA SCIENCE ESSENTIALS 

 • Introduction to Data Science
 • Evolution of Data Science
 • Big Data Vs Data Science
 • Data Science Terminologies
 • Data Science vs AI/Machine Learning
 • Data Science vs Analytics

MODULE 2: DATA SCIENCE DEMO

 • Business Requirement: Use Case
 • Data Preparation
 • Machine learning Model building
 • Prediction with ML model
 • Delivering Business Value.

MODULE 3: ANALYTICS CLASSIFICATION 

 • Types of Analytics
 • Descriptive Analytics
 • Diagnostic Analytics
 • Predictive Analytics
 • Prescriptive Analytics
 • EDA and insight gathering demo in Tableau

MODULE 4: DATA SCIENCE AND RELATED FIELDS

 • Introduction to AI
 • Introduction to Computer Vision
 • Introduction to Natural Language Processing
 • Introduction to Reinforcement Learning
 • Introduction to GAN
 • Introduction to Generative Passive Models

MODULE 5: DATA SCIENCE ROLES & WORKFLOW

 • Data Science Project workflow
 • Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
 • Data Science Project stages.

MODULE 6: MACHINE LEARNING INTRODUCTION

 • What Is ML? ML Vs AI
 • ML Workflow, Popular ML Algorithms
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 7: DATA SCIENCE INDUSTRY APPLICATIONS

 • Data Science in Finance and Banking
 • Data Science in Retail
 • Data Science in Health Care
 • Data Science in Logistics and Supply Chain
 • Data Science in Technology Industry
 • Data Science in Manufacturing
 • Data Science in Agriculture

MODULE 1: PYTHON BASICS 

 • Introduction of python
 • Installation of Python and IDE
 • Python Variables
 • Python basic data types
 • Number & Booleans, strings
 • Arithmetic Operators
 • Comparison Operators
 • Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS 

 • IF Conditional statement
 • IF-ELSE
 • NESTED IF
 • Python Loops basics
 • WHILE Statement
 • FOR statements
 • BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES 

 • Basic data structure in python
 • Basics of List
 • List: Object, methods
 • Tuple: Object, methods
 • Sets: Object, methods
 • Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS 

 • Functions basics
 • Function Parameter passing
 • Lambda functions
 • Map, reduce, filter functions

MODULE 1: OVERVIEW OF STATISTICS 

 • Introduction to Statistics
 • Descriptive And Inferential Statistics
 • Basic Terms Of Statistics
 • Types Of Data

MODULE 2: HARNESSING DATA 

 • Random Sampling
 • Sampling With Replacement And Without Replacement
 • Cochran's Minimum Sample Size
 • Types of Sampling
 • Simple Random Sampling
 • Stratified Random Sampling
 • Cluster Random Sampling
 • Systematic Random Sampling
 • Multi stage Sampling
 • Sampling Error
 • Methods Of Collecting Data

MODULE 3: EXPLORATORY DATA ANALYSIS 

 • Exploratory Data Analysis Introduction
 • Measures Of Central Tendencies: Mean,Median And Mode
 • Measures Of Central Tendencies: Range, Variance And Standard Deviation
 • Data Distribution Plot: Histogram
 • Normal Distribution & Properties
 • Z Value / Standard Value
 • Empirical Rule and Outliers
 • Central Limit Theorem
 • Normality Testing
 • Skewness & Kurtosis
 • Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
 • Covariance & Correlation

MODULE 4: HYPOTHESIS TESTING 

 • Hypothesis Testing Introduction
 • P- Value, Critical Region
 • Types of Hypothesis Testing
 • Hypothesis Testing Errors : Type I And Type II
 • Two Sample Independent T-test
 • Two Sample Relation T-test
 • One Way Anova Test
 • Application of Hypothesis testing

 

MODULE 1: MACHINE LEARNING INTRODUCTION 

 • What Is ML? ML Vs AI
 • Clustering, Classification And Regression
 • Supervised Vs Unsupervised

MODULE 2:  PYTHON NUMPY  PACKAGE 

 • Introduction to Numpy Package
 • Array as Data Structure
 • Core Numpy functions
 • Matrix Operations, Broadcasting in Arrays

MODULE 3:  PYTHON PANDAS PACKAGE 

 • Introduction to Pandas package
 • Series in Pandas
 • Data Frame in Pandas
 • File Reading in Pandas
 • Data munging with Pandas

MODULE 4: VISUALIZATION WITH PYTHON - Matplotlib

 • Visualization Packages (Matplotlib)
 • Components Of A Plot, Sub-Plots
 • Basic Plots: Line, Bar, Pie, Scatter

MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN

 • Seaborn: Basic Plot
 • Advanced Python Data Visualizations

MODULE 6: ML ALGO: LINEAR REGRESSSION

 • Introduction to Linear Regression
 • How it works: Regression and Best Fit Line
 • Modeling and Evaluation in Python

MODULE 7: ML ALGO: LOGISTIC REGRESSION

 • Introduction to Logistic Regression
 • How it works: Classification & Sigmoid Curve
 • Modeling and Evaluation in Python

MODULE 8: ML ALGO: K MEANS CLUSTERING

 • Understanding Clustering (Unsupervised)
 • K Means Algorithm
 • How it works : K Means theory
 • Modeling in Python

MODULE 9: ML ALGO: KNN

 • Introduction to KNN
 • How It Works: Nearest Neighbor Concept
 • Modeling and Evaluation in Python

MODULE 1: FEATURE ENGINEERING 

 • Introduction to Feature Engineering
 • Feature Engineering Techniques: Encoding, Scaling, Data Transformation
 • Handling Missing values, handling outliers
 • Creation of Pipeline
 • Use case for feature engineering

MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

 • Introduction to SVM
 • How It Works: SVM Concept, Kernel Trick
 • Modeling and Evaluation of SVM in Python

MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)

 • Building Blocks Of PCA
 • How it works: Finding Principal Components
 • Modeling PCA in Python

MODULE 4:  ML ALGO: DECISION TREE 

 • Introduction to Decision Tree & Random Forest
 • How it works
 • Modeling and Evaluation in Python

MODULE 5: ENSEMBLE TECHNIQUES - BAGGING 

 • Introduction to Ensemble technique 
 • Bagging and How it works
 • Modeling and Evaluation in Python

MODULE 6: ML ALGO: NAÏVE BAYES

 • Introduction to Naive Bayes
 • How it works: Bayes' Theorem
 • Naive Bayes For Text Classification
 • Modeling and Evaluation in Python

MODULE 7: GRADIENT BOOSTING, XGBOOST

 • Introduction to Boosting and XGBoost
 • How it works?
 • Modeling and Evaluation of in Python

MODULE 1: TIME SERIES FORECASTING - ARIMA 

 • What is Time Series?
 • Trend, Seasonality, cyclical and random
 • Stationarity of Time Series
 • Autoregressive Model (AR)
 • Moving Average Model (MA)
 • ARIMA Model
 • Autocorrelation and AIC
 • Time Series Analysis in Python 

MODULE 2: SENTIMENT ANALYSIS 

 • Introduction to Sentiment Analysis
 • NLTK Package
 • Case study: Sentiment Analysis on Movie Reviews

MODULE 3: REGULAR EXPRESSIONS WITH PYTHON 

 • Regex Introduction
 • Regex codes
 • Text extraction with Python Regex

MODULE 4:  ML MODEL DEPLOYMENT WITH FLASK 

 • Introduction to Flask
 • URL and App routing
 • Flask application – ML Model deployment

MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL

 • MS Excel core Functions
 • Advanced Functions (VLOOKUP, INDIRECT..)
 • Linear Regression with EXCEL
 • Data Table
 • Goal Seek Analysis
 • Pivot Table
 • Solving Data Equation with EXCEL

MODULE 6:  AWS CLOUD FOR DATA SCIENCE

 • Introduction of cloud
 • Difference between GCC, Azure, AWS
 • AWS Service ( EC2 instance)

MODULE 7: AZURE FOR DATA SCIENCE

 • Introduction to AZURE ML studio
 • Data Pipeline
 • ML modeling with Azure

MODULE 8:  INTRODUCTION TO DEEP LEARNING

 • Introduction to Artificial Neural Network, Architecture
 • Artificial Neural Network in Python
 • Introduction to Convolutional Neural Network, Architecture
 • Convolutional Neural Network in Python

MODULE 1: DATABASE INTRODUCTION 

 • DATABASE Overview
 • Key concepts of database management
 • Relational Database Management System
 • CRUD operations

MODULE 2:  SQL BASICS

 • Introduction to Databases
 • Introduction to SQL
 • SQL Commands
 • MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS 

 • Numeric, Character, date time data type
 • Primary key, Foreign key, Not null
 • Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL) 

 • Create database
 • Delete database
 • Show and use databases
 • Create table, Rename table
 • Delete table, Delete table records
 • Create new table from existing data types
 • Insert into, Update records
 • Alter table

MODULE 5: SQL JOINS 

 • Inner Join, Outer Join
 • Left Join, Right Join
 • Self Join, Cross join
 • Windows function: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES 

 • Select, Select distinct
 • Aliases, Where clause
 • Relational operators, Logical
 • Between, Order by, In
 • Like, Limit, null/not null, group by
 • Having, Sub queries

MODULE 7 : DOCUMENT DB/NO-SQL DB 

 • Introduction of Document DB
 • Document DB vs SQL DB
 • Popular Document DBs
 • MongoDB basics
 • Data format and Key methods

MODULE 1: GIT  INTRODUCTION 

 • Purpose of Version Control
 • Popular Version control tools
 • Git Distribution Version Control
 • Terminologies
 • Git Workflow
 • Git Architecture

MODULE 2: GIT REPOSITORY and GitHub 

 • Git Repo Introduction
 • Create New Repo with Init command
 • Git Essentials: Copy & User Setup
 • Mastering Git and GitHub

MODULE 3: COMMITS, PULL, FETCH AND PUSH 

 • Code Commits
 • Pull, Fetch and Conflicts resolution
 • Pushing to Remote Repo

MODULE 4: TAGGING, BRANCHING AND MERGING 

 • Organize code with branches
 • Checkout branch
 • Merge branches
 • Editing Commits
 • Commit command Amend flag
 • Git reset and revert

MODULE 5: GIT WITH GITHUB AND BITBUCKET

 • Creating GitHub Account
 • Local and Remote Repo
 • Collaborating with other developers

MODULE 1: BIG DATA INTRODUCTION 

 • Big Data Overview
 • Five Vs of Big Data
 • What is Big Data and Hadoop
 • Introduction to Hadoop
 • Components of Hadoop Ecosystem
 • Big Data Analytics Introduction

MODULE 2 : HDFS AND MAP REDUCE 

 • HDFS – Big Data Storage
 • Distributed Processing with Map Reduce
 • Mapping and reducing stages concepts
 • Key Terms: Output Format, Partitioners,
 • Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION 

 • PySpark Introduction
 • Spark Configuration
 • Resilient distributed datasets (RDD)
 • Working with RDDs in PySpark
 • Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE 

 • Introducing Spark SQL
 • Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS 

 • Introduction to Business Intelligence & Introduction to Tableau
 • Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
 • Bar chart, Tree Map, Line Chart
 • Area chart, Combination Charts, Map
 • Dashboards creation, Quick Filters
 • Create Table Calculations
 • Create Calculated Fields
 • Create Custom Hierarchies

MODULE 2:  POWER-BI BASICS

 • Power BI Introduction 
 • Basics Visualizations
 • Dashboard Creation
 • Basic Data Cleaning
 • Basic DAX FUNCTION

MODULE 3 : DATA TRANSFORMATION TECHNIQUES 

 • Exploring Query Editor
 • Data Cleansing and Manipulation:
 • Creating Our Initial Project File
 • Connecting to Our Data Source
 • Editing Rows
 • Changing Data Types
 • Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES 

• Connecting to a CSV File
 • Connecting to a Webpage
 • Extracting Characters
 • Splitting and Merging Columns
 • Creating Conditional Columns
 • Creating Columns from Examples
 • Create Data Model

OFFERED DATA SCIENCE COURSES IN GHAZIABAD

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN GHAZIABAD

In today's world, where data plays a central role, data science has become an essential skill for professionals in various industries. The demand for data science expertise continues to rise, and Ghaziabad, with its expanding IT and business sectors, offers a prime location for aspiring data scientists to pursue education and career opportunities. DataMites, a renowned global leader in data science education, offers extensive training programs designed to help students develop the essential skills required for a thriving career in data science. Whether you're a fresher or a working professional, DataMites data science course in Ghaziabad offers the perfect opportunity to excel in this dynamic field.

DataMites Institute is one of the top data science institutes in Ghaziabad, renowned for its comprehensive curriculum and hands-on learning approach. The data science course in Ghaziabad provides practical exposure through real-world projects and internships, making it an excellent choice for those aspiring to enter the competitive data science job market. The Certified Data Scientist Course in Ghaziabad, offered by DataMites, is a highly esteemed program that equips students with the essential skills needed to excel in the data science industry. Recognized by leading organizations like IABAC and NASSCOM FutureSkills, this course aligns with international industry standards, equipping students with the skills needed for the evolving field of data science

DataMites provides a comprehensive learning journey that emphasizes both technical expertise and essential soft skills, equipping students with a competitive advantage. The data science certification course in Ghaziabad not only enhances the student’s knowledge but also adds significant value to their resume, helping them stand out to potential employers. The course includes industry-relevant projects and capstone assignments, ensuring learners get ample hands-on practice with data science tools and techniques.

Growing Data Science Job Opportunities in Ghaziabad

Ghaziabad has rapidly emerged as a key destination for tech innovation, with many IT companies and startups establishing operations in the city. This surge in the tech ecosystem has led to a growing demand for skilled data scientists and analysts in the region. According to an IMARC Group report, the data science market in India is expected to grow at a CAGR of 24.3% from 2023 to 2028, creating more opportunities in cities like Ghaziabad. Its proximity to Delhi, one of India’s major business hubs, enhances its appeal as a top destination for tech careers.

The job market for data scientists in Ghaziabad is thriving, with job portals like LinkedIn listing hundreds of opportunities for roles such as Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and AI Specialist. According to a recent report by AmbitionBox, the average salary for data scientists in Ghaziabad is INR 10–12 lakhs annually. Furthermore, the demand for data science professionals in the region is expected to grow by 30% in the coming years, reflecting the rapid expansion of the tech industry in this area.

Why Choose DataMites for Data Science Training in Ghaziabad

DataMites has built a reputation as the data science institute in Ghaziabad, offering cutting-edge training programs for aspiring data scientists. Here’s why DataMites is the right choice for your data science training in Ghaziabad:

1. Global Recognition: DataMites provides internationally recognized certifications from prestigious bodies such as IABAC and NASSCOM FutureSkills.

2. Expert Faculty: Gain insights from industry experts with extensive experience in AI, machine learning, and data science. The expert faculty ensures you get the best learning experience.

3. Hands-On Learning: The data science training in Ghaziabad includes 20 real-world projects, 1 client project, and a comprehensive internship program that gives students invaluable exposure to real-world challenges.

4. Flexible Learning Options: DataMites offers both online and on-demand offline data science courses in Ghaziabad to cater to diverse learning preferences. Students can choose between offline classes at DataMites' Ghaziabad center or live online sessions.

5. Placement Assistance: DataMites’ Placement Assistance Team (PAT) helps students secure positions in top companies through resume building, interview preparation, and job placement support.

A Structured Learning Path at DataMites

DataMites employs a comprehensive 3-phase learning approach designed to provide an engaging and all-encompassing educational experience. This methodology provides students with a comprehensive understanding of data science:

Phase 1: Pre-Course Self-Study: Begin with video tutorials and study materials to build a strong foundation in data science concepts.

Phase 2: Immersive Training: Engage in 20 hours of live or offline classes weekly, covering key topics like Python, machine learning, and big data. This phase includes hands-on projects and mentorship from industry experts.

Phase 3: Internship & Placement Assistance: Participate in capstone projects, internships, and receive certification. The Placement Assistance Team ensures students are job-ready and well-prepared for the industry.

Specialized Data Science Certifications

DataMites offers several specialized certifications tailored to diverse career goals:

1. Data Science for Managers: For strategic decision-makers to leverage data science in business decisions.

2. Python for Data Science: Focused on Python programming for beginners in data science.

3. Data Science in HR, Finance, and Marketing: Domain-specific certifications for professionals in these industries.

4. Diploma in Data Science: An advanced program for those aspiring to take on senior roles in data science.

The Benefits of Data Science Training in Ghaziabad

Data science training in Ghaziabad, combined with internships and job assistance, provides a holistic learning experience. The program equips students with essential skills in data analysis, machine learning, and data visualization. Internships offer real-world exposure, helping learners apply their knowledge in professional settings, enhancing their employability. Additionally, job assistance connects participants with top employers, ensuring a smooth transition into the industry.

A Bright Future with Data Science Certification Training in Ghaziabad

As data science continues to grow in importance, the need for skilled professionals in Ghaziabad and beyond is set to increase. With online data science training in Ghaziabad, you will be equipped to unlock various career opportunities in industries such as IT, finance, healthcare, e-commerce, and more. By blending practical experience, top-tier instructors, and robust industry ties, DataMites equips its graduates with the skills and knowledge needed to excel and succeed in the competitive data science job market.

DataMites Institute, a leading institution renowned for its top-notch Data Science courses in Ghaziabad, offers exceptional training in Ghaziabad to set you on the path to success. Whether you're just starting your journey or looking to enhance your skills, our Ghaziabad center provides comprehensive training in essential areas like artificial intelligence, machine learning, data analytics, deep learning, and Python.

For those preferring offline learning, DataMites also offers Data Science courses in Delhi, Bangalore, Chennai, Pune, Hyderabad and Mumbai, ensuring you can choose the location most convenient for you. Start your journey in data science with DataMites today and unlock a successful career through our industry-leading, mentor-guided programs. Visit our Ghaziabad center or any of our other locations to learn more and enroll now!

DESCRIPTION OF DATA SCIENCE COURSE IN GHAZIABAD

Data can be vast and distorted and converted into valuable information. Data science entails mining large datasets consisting of structured and unstructured data and identifying hidden patterns to extract actionable insights.

  • Data is nothing without science

  • Better customer experience

  • Increase job opportunities

  • Rising salary for data science professionals

  • You will have many job titles to choose from

  • You will play a pivotal part in decision making in the company

Anyone, whether a newcomer or a professional, interested in learning Data Science can opt for it. Engineers, marketing professionals, software and IT professionals can go after part-time or external programs in data science. Basic high school level subjects are the minimum requirement for regular data science courses.

Data science course fees will vary according to the level of training you are looking for. However, when we discuss the fee structure, whether you choose any training provider for your classroom training for Data Science, it ranges from INR 30,000 to INR 1,00,000.

  • Data scientist

  • Machine learning engineer

  • Machine-learning scientist

  • Application architect

  • Data architect

  • Data engineer

  • Statistician

  • Data Analyst

  • Business intelligence analyst

  • Marketing analyst

Skills such as data analysis, statistical knowledge, data storytelling, communication and problem-solving will be beneficial for learning data science.

Knowledge of Python, R, Excel, C++, Java and SQL is always preferred. But you can always learn from the fundamentals and improve yourself.

Like any other field, with proper guidance Data Science can become an easy field to learn, and one can make a career in this field. However, since it is huge, it is easy for beginners to get lost and lose sight, making the learning experience difficult and frustrating.

Some of the major Data Science Tools include; SAS, Apache Hadoop, Tableau, BigML, BigML, Knime, RapidMiner, Excel, Apache Flink, Power BI.

According to IDC, global data will increase to 175 zettabytes by 2025. Data Science facilitates companies to productively comprehend and maneuver vast data from multiple sources and obtain worthy insights to make better data-driven decisions. Data Science is profusely used in countless industry domains like marketing, healthcare, finance, banking and policy work to name a few. The significance of data science is henceforth evident.

Yes, companies hire freshers for Data Scientist posts. Indeed, most entry-level analytics jobs in India do not call for any specialization or post-graduation. The only qualification you need in these companies is an engineering degree and even the stream doesn't matter. These companies only look for your Aptitude, Communication Skills and Critical Reasoning.

  • According to Indeed.com - The average salary of Data Scientists in Ghaziabad is 7,47,718 INR per annum.

  • The average salary of Data Scientists in Ghaziabad is 51,689 INR per month. 

Data Science is wide-ranging and its applications are infinite. Companies all over the world are searching for data science professionals who can be an asset to their companies. Data science certifications can be valuable for your career ahead in this technology-driven world.

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FAQ’S OF DATA SCIENCE TRAINING IN GHAZIABAD

66% of data scientists proclaimed in 2018 that they used Python every single day, making Python the number one language for data science. To successfully undertake data science work, having knowledge and expertise in Python or any other programming language is mandatory.

Yes, statistics is the soul of data science and is indispensable for achieving any machine learning algorithm. Statistics make it easy to operate on data. Various statistical techniques like classification, regression, hypothesis testing, time series analysis are used to build data models. With the help of statistics, a data scientist can gain better insights, which enables the decision-making process to be streamlined effectively.

The duration of the Data Science course in Ghaziabad is 8 months, totalling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.

Data Science is a highly sought after field of study that assures highly lucrative salary packages. Aspirants can enrol at Datamites for Data Science Course in Ghaziabad, we provide in-depth training for your further career.

No, a PG degree is not necessary but having prior knowledge of Mathematics, Statistics, Economics or Computer Science can be highly beneficial.

Being the IT hub of India, Ghaziabad has an assortment of opportunities for both freshers and experienced. Data Science certification can only help you in myriad ways.

A certified data scientist is a person who has acquired complete knowledge of the data science domain. The CDS course is specially designed for those who wish to enter the Data Science domain - fresh and with the best skills and guidance to succeed in the domain.

CDS course is designed for data science freshers who want to mark their grades and conquer the world of Data Science.

DataMites offers Data Science Foundation, Data Science for Managers, Data Science Associate, Diploma in Data Science, Python for Data Science, Statistics for Data Science, Data Science Marketing, Data Science Operations, Data Science Retail, Data Science for HR, Data Science with Finance and Data Science.

  • Datamites™ is the global institute for data science accredited by the International Association of Business Analytics Certification (IABAC).

  • We have more than 25,000 students enrolled in the courses we offer.

  • We provide a three-step learning method. In Phase 1, self-study videos and books will be provided to the candidates to help them get adequate knowledge about the syllabus. Phase 2 is the primary phase of intensive live online training. And in the third phase, we will release the projects and placements.

  • The entire training includes real-world projects and highly valuable case studies.

  • After the training, you will receive the IABAC certification which is a global certification.

  • After completing your training, you will get the chance to do an internship with AI company Rubix, a global technology company.

The fees for the Data Science course will range from Rs.6000 to Rs.88,000 depending on the course and mode of training you choose.

We offer you flexible learning options ranging from live online, self-learning methods to classroom training. You can choose as per your liking.

At present DataMites offers only online training in Ghaziabad. But we are on board to conduct classroom training ON-DEMAND by the candidates and by checking the number of demands for the same.

We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and well versed in the subject matter.

Our Flexi-Pass for Data Science training will allow you to attend sessions from Datamites for a period of 3 months related to any query or revision you wish to clear.

We will issue you an IABAC® certification that provides global recognition of relevant skills.

Of course, after your course is completed, we will issue you a Course Completion Certificate.

Yes. Photo ID proofs like a National ID card, Driving license etc. are needed for issuing the participation certificate and booking the certification exam as required.

You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.
In the case of online training, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.

Yes, a free demo class will be provided to you to give you a brief idea of ??how the training will be done and what will be involved in the training.

Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.

Learning Through Case Study Approach

Theory → Hands-on → Case Study → Project → Model Deployment

Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.

We accept payment through;

  • Cash

  • Net Banking

  • Check

  • Debit Card

  • Credit Card

  • PayPal

  • Visa

  • Master card

  • American Express

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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