DATA SCIENCE CERTIFICATION AUTHORITIES

Data Science Course Features

DATA SCIENCE LEAD MENTORS

DATA SCIENCE COURSE FEE IN DOMBIVLI, INDIA

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 DOMBIVLI

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 DOMBIVLI

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 DOMBIVLI

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN DOMBIVLI

DataMites is globally recognized for its excellence in training, offering specialized data science programs that are designed to meet the needs of aspiring data scientists. Known for its focus on hands-on learning, real-world projects, and comprehensive career support, DataMites is a trusted choice for data science courses in Dombivli, offering placement assistance to ensure career success.

The Certified Data Scientist Course in Dombivli is an accredited program by IABAC and NASSCOM FutureSkills, designed to meet global industry standards. This 8-month course is available in flexible formats, including live online sessions and on-demand offline data science classes in Dombivli. The curriculum covers live projects, internships, and hands-on training to ensure real-world experience. The course is ideal for both freshers and working professionals, providing essential support for interview preparation, resume building, and placement assistance, helping learners excel in the competitive data science job market.

Data Science Training in Dombivli: Unlocking Career Potential

The global data science market is experiencing rapid growth and is expected to reach a value of USD 484.17 billion by 2030, according to Grand View Research. This expansion is driven by sectors such as IT, healthcare, fintech, and e-commerce, creating abundant opportunities for skilled data science professionals. As noted by Analytics India Magazine, the Indian data analytics industry is poised to generate over 11 million jobs by 2026, with data science roles growing at an impressive annual rate of 32%. These trends highlight the increasing demand for professionals who can harness the power of data to drive business innovation and insights.

Dombivli, strategically located within the Mumbai Metropolitan Region, is emerging as a key hub for data science education and career development. With its growing infrastructure, access to major business centers, and proximity to Mumbai, Dombivli is becoming a preferred destination for aspiring data scientists. DataMites offers a range of data science courses in Dombivli, catering to learners at all stages of their careers. The courses are designed to provide hands-on training, real-world projects, and expert mentorship, ensuring that students gain the skills necessary to thrive in the fast-paced world of data science. Whether you're just starting out or looking to enhance your expertise, DataMites equips you with the tools and knowledge needed to excel in this dynamic field.

Why Choose Dombivli for Data Science?

Dombivli is becoming an ideal destination for data science training. Here’s why:

Growing IT Industry:

Dombivli is rapidly emerging as an IT hub, attracting tech companies and startups. As industries like e-commerce, banking, and fintech embrace data-driven strategies, the demand for data scientists and analysts in the area is booming.

Booming Job Market:

With over 9,000 data science job listings on LinkedIn, Dombivli is witnessing a surge in job opportunities. Data Analysts, Machine Learning Engineers, and AI Specialists are in high demand, with an data scientist average salary of INR 5 LPA, making it a lucrative career destination.

Cost-Effective Living:

Dombivli offers a much lower cost of living compared to Mumbai, making it an attractive location for students and working professionals pursuing data science courses, whether offline or online.

Strong Educational Ecosystem:

Dombivli’s academic growth, with expanding training centers and its proximity to Mumbai’s universities, fosters a robust learning environment. Institutions like DataMites make high-quality data science education easily accessible.

Strategic Location:

Dombivli’s excellent connectivity to Mumbai via suburban trains, buses, and highways makes it a strategic hub for learning and working, offering a perfect blend of suburban charm and modern infrastructure.

Key Data Science Roles in Dombivli and Essential Skills

As Dombivli becomes a key player in the tech ecosystem, several data science roles are emerging. Key positions include Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, and AI Specialist. Professionals in these roles are responsible for analyzing data, building predictive models, and delivering actionable insights to support business strategies.

To succeed in Dombivli’s competitive job market, professionals must master key data science skills. Proficiency in programming languages like Python or R is essential for data manipulation and analysis. Knowledge of machine learning algorithms, data visualization tools (such as Tableau or Power BI), and big data technologies like Hadoop or Spark is highly valuable. Additionally, expertise in SQL and a strong grasp of statistics and mathematics are crucial.

Soft skills such as problem-solving, critical thinking, and effective communication are equally important. These skills help professionals interpret complex data and present findings to stakeholders in an impactful manner.

With Dombivli’s expanding tech scene and rising demand for data science expertise, mastering these skills will open doors to lucrative career opportunities in one of India’s rapidly growing cities.

Why Choose DataMites for Data Science Courses in Dombivli?

DataMites is a leading data science institute in Dombivli, offering a curriculum that aligns with industry demands. Here are the benefits of choosing DataMites for your data science training:

  1. Global Recognition: DataMites offers certifications accredited by IABAC and NASSCOM FutureSkills, ensuring your qualifications are recognized worldwide.
  2. Experienced Faculty: Ashok Veda, an AI specialist, is one of the industry pros leading the training, guaranteeing excellent, pertinent instruction.
  3. Flexible Learning Options: DataMites offers both live online classes and on-demand offline data science courses in Dombivli, providing flexibility to learn at your own pace.
  4. Practical Learning: The program includes 25 capstone projects and a client project to provide hands-on experience aligned with real-world industry practices.
  5. Career Support: A dedicated Placement Assistance Team helps learners secure roles such as Data Scientist, Machine Learning Engineer, and other data analytics positions in top companies in Dombivli, Mumbai, and beyond.

Innovative 3-Phase Learning Methodology at DataMites

DataMites uses a well-organized 3-Phase Learning Methodology to provide an engaging learning environment:

Phase 1: Pre-Course Self-Study
To ensure a strong foundation in data science principles, students start their journey with top-notch video lessons and study resources.

Phase 2: Immersive Training
Over the course of three months, this phase entails 20 training hours each week. Learners can choose between live online sessions or on-demand offline data science courses in Dombivli. Industry-aligned coursework, expert mentoring, and practical projects are all part of the curriculum.

Phase 3: Internship & Placement Assistance
Students receive a renowned internship certification by participating in 25 capstone projects and a client project. The Placement Assistance Team (PAT) of DataMites helps students land positions in prestigious firms by offering career coaching.  By completing the program, students also earn a data science certification in Dombivli, enhancing their credentials and improving their job prospects.

Comprehensive Curriculum for Data Science Courses in Dombivli

The DataMites Certified Data Scientist Course in Dombivli offers an extensive range of topics, ensuring a well-rounded grasp of the field. Key highlights include:

  1. Python Programming: Gain expertise in Python and its libraries like NumPy, Pandas, and Matplotlib.
  2. Machine Learning: Learn core algorithms such as Linear Regression, Decision Trees, and Neural Networks.
  3. Data Visualization: Use tools like Tableau and Power BI to create compelling dashboards.
  4. Big Data Tools: Acquire hands-on experience with PySpark, Hadoop, and Kafka.
  5. Artificial Intelligence: Dive into Deep Learning, TensorFlow, and Natural Language Processing.

Other Specialized Data Science Certifications at DataMites Dombivli

To cater to diverse career aspirations, DataMites in Dombivli offers tailored certifications, including:

  1. Data Science for Managers: Designed for strategic decision-makers.
  2. Python for Data Science: Perfect for beginners exploring data science.
  3. Data Science in HR, Finance, and Marketing: Develop domain-specific expertise.
  4. Diploma in Data Science: An all-encompassing program for advanced roles.

Practical Tools for Real-World Application

At DataMites in Dombivli, students master tools widely employed in the industry, such as:

  1. Python, TensorFlow, and Pandas.
  2. Tableau, Power BI, and Advanced Excel.
  3. PySpark, Hadoop, and MongoDB.

Data Science Internships and Placement Support in Dombivli

DataMites offers a data science course in Dombivli with internship and placement support, providing opportunities that bridge theoretical knowledge with real-world industry applications. By engaging in practical projects, students refine their analytical and technical skills, equipping them to tackle challenges in a professional data science career.

Additionally, our data science course with placement support in Dombivli equips learners with essential job-search skills, including crafting effective resumes and excelling in interviews. Leveraging our extensive industry network, DataMites paves the way for exciting career opportunities with top companies in Dombivli, Mumbai, and beyond.

Start Your Data Science Journey with a Course in Dombivli

Dombivli, known for its thriving industries and cost-effective living, is a perfect place to launch your data science career. Enroll in a Data Science course in Dombivli at DataMites for premium training, hands-on projects, and expert mentorship. This comprehensive approach combines practical experience and knowledge, ensuring your success in the rapidly advancing field of data science.

DataMites also offers data science courses in Mumbai and other major cities, including Bangalore, Pune, Hyderabad, Chennai, Coimbatore, Ahmedabad, and more. Start your data science journey with DataMites and unlock new career opportunities today!

ABOUT DATAMITES DATA SCIENCE COURSE IN DOMBIVLI

Many data science courses do not require prior programming experience. While a basic understanding of math or coding can be helpful, the most important requirement is a genuine interest and dedication to learning. Motivated individuals can thrive in these courses regardless of their starting point.

Data science courses in Dombivli generally range from 4 to 12 months, depending on the depth of the curriculum and the institution. Shorter courses may focus on specific tools or techniques, while longer ones offer comprehensive training.

The starting salary for a data scientist in Dombivli typically ranges from ₹4 to ₹8 lakhs per annum. This can vary based on the candidate’s skills, experience, and the employer’s budget.

The scope of data science in Dombivli is expanding as businesses increasingly rely on data-driven decisions. Opportunities are growing in various sectors, including finance, healthcare, and retail.

In Dombivli, data scientists can enhance their career prospects by choosing programs that offer internships and robust placement support. DataMites is a prominent global institution that excels in providing valuable internship experiences, comprehensive placement assistance, and internationally recognized certifications, supported by a community of over 70,000 successful professionals.

Coding is not always a strict requirement for a career in data science, but it is highly beneficial. Many data science tasks, such as data manipulation, analysis, and modeling, involve programming languages like Python or R. However, there are tools available that allow for minimal coding, and a strong interest in learning can help you pick up coding skills over time.

Yes, individuals with a non-engineering background can become data scientists if they acquire the necessary skills in data analysis, programming, and statistics through courses or self-study.

A data science course teaches skills in data analysis, statistical methods, machine learning, and programming. It covers tools and techniques to extract insights and make data-driven decisions.

A data scientist is a professional who uses data analysis, statistical methods, and machine learning techniques to interpret complex data and help organizations make informed decisions.

To pursue data science in Dombivli, you can choose between local institutes and online programs. DataMites offers a comprehensive data science course that includes practical projects, internship opportunities, and strong placement support. Additionally, DataMites provides classroom classes in major cities such as Bangalore, Pune, Chennai, and Mumbai.

Specific skills are not as important as a passion for learning and problem-solving in data science. Curiosity and the ability to explore and analyze data are key. While technical skills like programming and statistics can be helpful, they can be learned over time with interest and practice.

Yes, there are still abundant opportunities for data science jobs as businesses continue to embrace data-driven strategies. Demand for skilled data scientists remains strong across various industries.

Yes, a student from a commerce background can pursue a career in data science by gaining relevant skills in programming, statistics, and data analysis through specialized courses or training.

The typical pathway includes earning a relevant degree or certification, acquiring skills in programming and data analysis, and gaining practical experience through internships or projects. Networking and continuous learning are also crucial.

While a strong mathematics background is helpful, it is not always required. Many data science programs offer foundational courses to build necessary mathematical and statistical skills.

A bachelor’s degree is often a starting point, but additional skills and certifications in data science are usually required. Practical experience and specialized training can enhance job prospects.

Yes, Python is one of the main programming languages used in data science due to its extensive libraries, ease of use, and versatility in data analysis and machine learning.

Yes, data science is a viable career option with strong growth prospects. It offers opportunities across various industries and has a high demand for skilled professionals.

Data science has a promising future in Dombivli as more businesses and organizations adopt data-driven strategies. The increasing use of data analytics ensures continued demand for data science professionals.

Data science encompasses a broader range of techniques, including data collection, cleaning, and predictive modeling, while data analytics focuses primarily on analyzing data to gain insights and support decision-making.

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FAQ’S OF DATA SCIENCE TRAINING IN DOMBIVLI

To enroll in the DataMites Data Science course, visit our official website, fill out the inquiry form, and follow the instructions to complete the registration process. You will receive further details on course schedules and payment options once your form is submitted.

Yes, DataMites offers a Data Science course in Dombivli that includes live projects. The course features 25 capstone projects and 1 client project, providing hands-on experience to apply theoretical knowledge to real-world scenarios.

Upon enrollment, you will receive comprehensive learning materials, including course notes, access to online resources, and practice assignments. These materials support your learning throughout the course.

The DataMites Data Scientist course in Dombivli includes certifications such as the IABAC® and NASSCOM® FutureSkills certifications. These credentials are awarded upon successful completion of the course and assessments.

Yes, DataMites offers placement assistance for its Data Science courses. This includes resume building, interview preparation, and job placement support.

DataMites provides internship opportunities as part of its Data Science course, helping you gain practical experience in the field. Internships are facilitated based on your performance and availability.

The fee structure for the DataMites Data Science course in Dombivli includes flexible options to accommodate different needs. Live online training is priced at INR 68,900, while Self-Learning is available for INR 41,900. For detailed information, please visit our  website or contact our admissions team.

At DataMites, the trainers for the Data Science course include Ashok Veda, CEO of Rubixe, who serves as the lead mentor. We are experienced professionals with extensive knowledge in data science. Their expertise ensures high-quality instruction throughout the course.

Yes, DataMites offers demo classes for the Data Science course. This allows you to experience the teaching style and course content before making a commitment.

Yes, DataMites allows you to make up missed sessions by attending other classes. Ensure you inform the course coordinator to arrange the make-up class.

DataMites has a refund policy in place for course cancellations. For specific terms and conditions, please review the policy on our website or contact our support team.

The Flexi-Pass provides learners with flexible access to DataMites courses over a 3 month period. This innovative option allows students to select and transition between various courses, enabling them to customize their educational journey. Designed to meet diverse learning preferences and accommodate varying schedules, the Flexi-Pass ensures a tailored and enriching learning experience.

Yes, DataMites offers an EMI option for our Data Science courses, allowing you to pay the course fees in installments to ease financial planning. Payment can be made using credit card, debit card, or online payment method for added convenience.

The syllabus for the DataMites Data Science course includes topics such as data analysis, machine learning, and data visualization. For a detailed syllabus, please refer to our website or contact the admissions team.

To enroll in the Certified Data Scientist course at DataMites, visit our website, complete the inquiry form, and follow the registration steps provided. You will receive guidance on the next steps and payment options.

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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