DATA SCIENCE CERTIFICATION AUTHORITIES

Data Science Course Features

DATA SCIENCE LEAD MENTORS

DATA SCIENCE COURSE FEE IN AHMEDNAGAR, 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

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

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UPCOMING DATA SCIENCE ONLINE CLASSES IN AHMEDNAGAR

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 AHMEDNAGAR

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 AHMEDNAGAR

DATA SCIENCE COURSE REVIEWS

ABOUT DATA SCIENTIST TRAINING IN AHMEDNAGAR

DataMites is a globally recognized leader in data science training, known for delivering high-quality, industry-focused education. With an emphasis on hands-on learning, real-world projects, and career support, DataMites has become a preferred choice for pursuing data science courses in Ahmednagar. It offers an ideal platform for launching a career in the fast-growing field of data science.

The Certified Data Scientist Course in Ahmednagar, accredited by IABAC and NASSCOM FutureSkills, is an extensive 8-month program designed to meet the evolving demands of the global data science industry. This course is available in flexible formats, including both online and on-demand offline data science courses in Ahmednagar, ensuring that learners have the flexibility to choose the most suitable mode of learning. With a mix of theoretical insights and practical training, the program is designed to prepare participants for real-world challenges. The course features industry-aligned projects and dedicated placement support, ensuring that you are well-prepared for a rewarding career in data science.

Data Science Training in Ahmednagar: A Gateway to a Bright Career

In today's data-driven economy, the ability to extract valuable insights from large datasets is crucial. The global data science platform market is projected to reach a value of USD 36.01 billion by 2030, growing at a compound annual growth rate (CAGR) of 23.50% from 2024 to 2029, as reported by Mordor Intelligence. In India, the demand for data science professionals is increasing rapidly across various sectors, including healthcare, finance, e-commerce, and government services.

Ahmednagar is emerging as an attractive location for data science training, driven by the growing digital transformation in the country. As the demand for skilled data science professionals rises, DataMites, a globally recognized training institute, offers high-quality data science courses in Ahmednagar. These courses are designed to equip students with the skills needed to succeed in this dynamic field, opening up exciting career opportunities in the growing data science industry.

Why Ahmednagar is an Ideal Destination for Data Science Training

Ahmednagar is rapidly emerging as a prime destination for data science education due to its well-developed educational infrastructure and proximity to major IT hubs. Here are several reasons why Ahmednagar is becoming an ideal place for data science training:

  1. Growing IT Ecosystem: Ahmednagar is strategically located near several major IT hubs, including Pune, Nashik, and Mumbai. These cities are home to some of India’s leading IT companies, including TCS, Infosys, Wipro, and Cognizant. With the increasing reliance on data analytics in these cities, Ahmednagar’s proximity to such technology-centric locations makes it an ideal place for data science professionals to kick-start their careers.
  2. High Demand for Data Science Skills: The demand for data science professionals is soaring across India, and Ahmednagar is no exception. Job portals and platforms like LinkedIn feature numerous opportunities in data-related roles. According to Indeed, the average salary for data scientists in Ahmednagar is INR 5.5 LPA, reflecting the growing demand for these skills in the region.
  3. Cost-Effective Living: Ahmednagar offers a significantly lower cost of living compared to larger cities like Pune and Mumbai, making it an attractive destination for those looking to pursue a data science course in Ahmednagar online or an on-demand offline data science course in Ahmednagar. This affordability allows students and professionals to receive high-quality education without the financial burden commonly associated with larger cities, whether they choose flexible online courses or a more traditional offline learning experience.
  4. Educational Excellence: Ahmednagar is known for its strong educational infrastructure, with a number of reputed colleges and research centers. The city’s focus on higher education and skill development creates a conducive environment for those pursuing data science courses in Ahmednagar. This foundation ensures that students have access to high-quality education and opportunities for career advancement.
  5. Strategic Location and Lifestyle: Ahmednagar’s connectivity to major cities like Pune, Nashik, and Mumbai adds to its appeal. The city offers a balanced lifestyle with a combination of urban amenities and serene surroundings, which makes it an ideal setting for focused learning and personal growth. The peaceful yet modern environment supports students in pursuing their data science training in Ahmednagar with utmost dedication.

Key Data Science Roles in Ahmednagar and Skills You’ll Need

As Ahmednagar’s IT ecosystem grows, there are increasing career opportunities for data science professionals. Some of the key job roles that you can pursue include:

  1. Data Scientist
  2. Machine Learning Engineer
  3. Data Analyst
  4. Business Intelligence Analyst
  5. AI Specialist

To excel in these roles, you need to develop expertise in a variety of skills. These include:

  1. Programming Skills: Proficiency in Python, R, and SQL for data processing and analysis.
  2. Machine Learning: Understanding algorithms such as Decision Trees, Neural Networks, and K-Means Clustering.
  3. Data Visualization: Mastery of tools like Tableau, Power BI, and Matplotlib to represent data insights effectively.
  4. Big Data Tools: Knowledge of Hadoop, PySpark, and MongoDB to handle large datasets.
  5. Statistics and Mathematics: A solid foundation in statistical analysis and applied mathematics.
  6. Soft Skills: Strong problem-solving, critical thinking, and communication skills to interpret and present data insights to non-technical stakeholders.

Why Choose DataMites for Data Science Training in Ahmednagar?

DataMites is a premier data science institute in Ahmednagar, known for offering an industry-driven curriculum that caters to the diverse needs of learners. Some key reasons to choose DataMites for your data science training include:

  1. Global Recognition: DataMites offers certifications that are recognized globally, with accreditation from esteemed organizations like IABAC and NASSCOM FutureSkills. This recognition adds tremendous value to your data science certification in Ahmednagar, helping you stand out in the competitive job market.
  2. Expert Faculty: At DataMites, you’ll be taught by industry experts, including experienced trainers and AI professionals who share practical insights from their extensive experience. Ashok Veda, the lead mentor at DataMites, plays a crucial role in guiding students through the learning process, ensuring that they receive the highest quality training.
  3. Flexible Learning Options: DataMites offers online data science courses in Ahmednagar for those who prefer to learn from the comfort of their homes. Alternatively, the on-demand offline data science course in Ahmednagar allows students to opt for classroom-based learning at their own convenience, providing flexibility to suit their schedules.
  4. Real-World Experience: With 25+ capstone projects and a client project integrated into the curriculum, DataMites ensures that learners gain hands-on experience in solving industry-specific challenges. This practical exposure helps build confidence and enhances your problem-solving abilities.
  5. Placement Assistance: DataMites offers data science courses in Ahmednagar with placement support to help students secure roles in top companies. The placement team provides personalized guidance, including resume-building assistance, interview preparation, and mock interviews, to ensure learners are ready to enter the job market.

3-Phase Learning Methodology at DataMites - Ahmednagar

DataMites offers an immersive 3-Phase Learning Methodology to equip students in Ahmednagar with essential data science skills:

  1. Phase 1: Pre-Course Self-Study: To establish a strong foundation in data science, students start with study materials and video tutorials.
  2. Phase 2: Immersive Training: Over three months, students receive 20 hours of weekly training, with the option for live online sessions or on demand offline data science courses in Ahmednagar. The curriculum includes hands-on projects and expert mentorship.
  3. Phase 3: Internship & Placement Assistance: Students complete 25 capstone and client projects, earning internship certification. DataMites’ Placement Assistance Team helps secure job opportunities with top companies.

Specialized Data Science Certifications

To cater to various career needs, DataMites offers the following specialized certifications:

  1. Python for Data Science: A beginner-friendly course for those new to programming.
  2. Data Science for Managers: Tailored for decision-makers who wish to understand data science.
  3. Domain-Specific Certifications: Focusing on areas like HR, Marketing, and Finance.
  4. Diploma in Data Science: A comprehensive program for those seeking advanced career opportunities.

Hands-On Training with Industry Tools

At DataMites, you will gain proficiency in the latest tools and technologies used in the data science field, such as:

  1. Programming Tools: Python, Pandas, TensorFlow
  2. Visualization Tools: Tableau, Power BI, Excel
  3. Big Data Tools: PySpark, MongoDB, Hadoop

Data Science Course Internship & Placement Support in Ahmednagar

The data science course in Ahmednagar with internship offers valuable hands-on experience through real-world projects, helping students enhance their technical and analytical skills. This practical exposure bridges the gap between theoretical knowledge and industry applications, ensuring that learners are well-prepared for professional challenges.

In addition, the data science course in Ahmednagar with placement support provides a comprehensive career development package, including resume-building workshops, mock interview sessions, and networking opportunities with top employers. This structured placement support ensures a smooth transition into the workforce, empowering students to secure rewarding career opportunities in the growing field of data science.

Start Your Data Science Journey in Ahmednagar

Ahmednagar, with its prime location, growing IT sector, and affordable living, offers an ideal environment to begin your data science career. Enroll in a data science course in Ahmednagar at DataMites to gain the skills, expertise, and hands-on experience needed to succeed in this fast-evolving field.

DataMites also offers data science courses in Mumbai, Bangalore, Pune, Hyderabad, Chennai, Coimbatore, Delhi, Ahmedabad, and other cities. With professional training and strong career support, DataMites helps you build a solid foundation for a successful career in data science. Take the first step toward a rewarding future by visiting DataMites in Ahmednagar today. Join DataMites now and start your path to a prosperous career in data science!

ABOUT DATAMITES DATA SCIENCE COURSE IN AHMEDNAGAR

Eligibility for a career in data science is often flexible, with many courses requiring no strict prerequisites. While a foundational grasp of mathematics or programming can be helpful, a strong enthusiasm for learning and problem-solving is the most important qualification. Anyone with a passion for data science can start their journey regardless of their background.

The duration of data science courses in Ahmednagar can vary, but they generally range from 4 to 2 months for intensive programs. Part-time or online courses may take longer, depending on your pace and availability.

Entry-level data scientists in Ahmednagar can expect to earn an average salary of around INR 3 to INR 8 lakhs per annum. This may vary based on the specific employer and individual qualifications.

Data science professionals in Ahmednagar have a positive job market outlook with growing demand across various sectors. Career potential is strong due to the increasing need for data-driven decision-making in businesses.

To find the best data science course in Ahmednagar, research local institutes and review their curriculum and feedback. Look for programs that offer internships and strong placement support. DataMites offers a data science course known for its global certifications, excellent internship opportunities, and solid placement assistance, with over 70,000 satisfied students.

Programming knowledge is not strictly required for a career in data science, but having it can be very beneficial. It helps in handling data, building models, and performing analysis more efficiently.

Yes, individuals without an engineering background can transition into data science. A strong foundation in mathematics, statistics, and programming, along with relevant coursework or training, can help make this transition.

A typical data science course covers statistics, machine learning, data visualization, programming, and data manipulation. Courses also include practical projects to apply these skills in real-world scenarios.

A data scientist typically has skills in statistics, programming, and data analysis. Key responsibilities include collecting and analyzing data, building models, and deriving insights to support decision-making.

In Ahmednagar, effective ways to learn data science include enrolling in local institutes or opting for flexible online programs. DataMites offers comprehensive courses with live projects and internships. We also provide in-person classes in nearby cities like Pune and Mumbai, which can be valuable for additional learning.

There are no strict core skills required, but having knowledge in statistical analysis, programming (Python or R), machine learning, data visualization, and problem-solving can be highly beneficial. These skills enhance your ability to analyze data and derive valuable insights.

Yes, data science jobs remain in high demand across various industries. The need for data-driven insights and decision-making continues to drive growth in this field.

Yes, students from a commerce background can pursue a career in data science. A strong understanding of quantitative methods and analytical skills, along with relevant coursework or training, can facilitate this transition.

The roadmap typically involves acquiring relevant education or training, developing programming and statistical skills, gaining practical experience through projects or internships, and continuously learning to keep up with industry trends.

Completing a data science course can vary from a few months to several years, depending on the program's intensity and your prior knowledge. Full-time courses are usually shorter than part-time or online options.

Yes, pursuing a data science training in Ahmednagar can be beneficial due to the growing demand for data professionals in the region. Local courses often offer industry-relevant skills and networking opportunities.

Necessary steps include obtaining relevant education or training, developing technical skills, gaining hands-on experience through projects or internships, and staying updated with industry trends and tools.

Yes, individuals from non-IT backgrounds can excel in data science with the right training and skills. A focus on mathematics, statistics, and programming can facilitate a successful transition.

The initial phase of the data science process is data collection and preprocessing. It is crucial because it ensures the quality and accuracy of the data, which directly impacts the reliability of the analysis and results.

No, there are typically no age restrictions for enrolling in a data science course. Courses are designed to accommodate learners of various ages and professional backgrounds.

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FAQ’S OF DATA SCIENCE TRAINING IN AHMEDNAGAR

To enroll in the DataMites Data Science certification course, visit our official website and complete the online registration form. You may also contact our admissions team via phone or email for further assistance.

Yes, DataMites Data Science course in Ahmednagar features 25 capstone projects and 1 client project. These projects offer practical experience, bridging the gap between theory and real-world data science applications.

Upon enrolling, you will receive comprehensive course materials including textbooks, online resources, and access to software tools required for the course. Additional resources may be provided based on the course specifics.

Upon successful completion of the course, you will receive the IABAC® & NASSCOM FutureSkills Certification. This certification demonstrates your proficiency and skills in the field of data science.

Yes, DataMites provides placement assistance as part of their Data Science course in Ahmednagar. This includes career counseling, resume building, and job placement support.

Internships may be available as part of the Data Science course in Ahmednagar, providing practical experience. You should inquire directly with DataMites for specific details about internship opportunities.

The DataMites Data Science course in Ahmednagar offers flexible fee options to suit various preferences. Live online training is available for INR 68,900, while blended learning is priced at INR 41,900.

Ashok Veda is the CEO of Rubixe and leads the Data Science course at DataMites. The instructors are seasoned pros with broad industry experience, guaranteeing excellent training and useful insights.

Yes, DataMites offers the option to attend a demo class before enrolling in the Data Science course in Ahmednagar. This allows you to experience the course content and teaching style.

Yes, DataMites typically allows students to make up for missed sessions. You can attend the recorded sessions or reschedule with the support team as per our policies.

DataMites has a refund policy that depends on the timing of the cancellation. For specific details, please refer to Datamites terms and conditions or contact our customer service.

The Flexi-Pass offers 3 months of flexible access to DataMites courses, allowing learners to select and switch between multiple courses. This personalized approach accommodates diverse learning needs and schedules, empowering individuals to tailor their educational experience.

Yes, DataMites offers EMI options for our Data Science course in Ahmednagar, making fee payments more manageable. Additionally, we provide other payment methods, including online payment, credit card, and debit card. For more information on EMI plans, contact their admissions team.

The Data Science syllabus at DataMites includes topics such as data analysis, machine learning, statistical modeling, and data visualization. It covers both theoretical concepts and practical applications.

To enroll in the Certified Data Scientist course, visit DataMites official website and fill out the registration form. You can also reach out to our admissions team for personalized assistance.

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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