Diploma in Data Science - Overview

This Data Science course at Edure provides comprehensive training in utilizing data-driven techniques to drive business growth and decision making. Participants will learn to create data models, predictive algorithms, and data visualizations, covering areas like Python, R, SQL, and Power BI. The course emphasizes practical projects to ensure proficiency in Data Science strategies and tools. Enroll today to elevate your data skills and become a leader in the data-driven world. Your journey to becoming a skilled data science professional starts here! Our Data Science course at Edure is meticulously designed to cover every aspect of data science. From understanding the basics of data analysis and machine learning to mastering advanced concepts like predictive modelling and data visualization, our curriculum ensures a holistic understanding of the subject.

Course Specialities

  • Industry-Recognized Certification:

    Earn a certification from Edure upon successful completion of the course. This certification is a testament to your skills and knowledge, recognized by top companies worldwide.

  • Continuous Learning:

    Learning doesn't stop with course completion. We provide you with access to course materials and updates even after you've completed the course. This ensures that your knowledge stays updated with the latest trends and advancements.

  • Hands-On Learning:

    Our courses emphasise practical learning. You'll work on real-world projects and case studies, gaining hands-on experience in your chosen field.

  • Expert Faculty:

    Learn from industry veterans who bring their real-world experiences into the classroom, enriching your learning journey.

  • Flexible Learning Options:

    Choose from a variety of learning modes - online, offline, or blended - to suit your unique learning style and time constraints.

  • Career Support:

    Benefit from our extended support which includes interview preparation, resume building, and job placement assistance.

COURSE FEE
Amount Rs. 55000
(Incl. taxes)
ENROLL NOW
Let us contact you:
Or You can directly call us:

+91 97462 11123

Our courses are designed to ensure you gain technical proficiency, receive support, and get placement assistance for a successful transition into the professional landscape. Whether you're a beginner or an experienced professional, our courses will enhance your skills and make you industry-ready.

Testimonials

Why Choose Us?

Edure's professional programs prioritise project-based learning, offering numerous benefits for aspiring professionals across various fields. Recognizing that theoretical knowledge alone is insufficient in today's rapidly evolving industries, our courses emphasise hands-on experience and real-world application of skills.

Flipped Classroom Learning:

Transform your learning experience with Edure's Flipped Classroom model. Access pre-recorded sessions at your convenience, revisit materials as needed, and foster an environment conducive to effective self-paced learning.

Project-Based Learning:

Reinforce your theoretical knowledge through hands-on application with our Project-Based Learning approach. Engage in real-world projects and gain practical skills crucial in the dynamic industry of your choice.

Live Interactive E-Learning:

Experience dynamic and engaging education with Edure's Live Interactive E-Learning. Participate in real-time discussions in our integrated classrooms and enhance your understanding through interactive sessions conducted by experienced instructors.

Doubt Clearing Sessions:

Edure prioritises student success with dedicated Doubt Clearing Sessions. Seek clarification in real-time or access recorded sessions outside of class hours, ensuring a supportive and collaborative learning environment.

Pre-Placement Training:

Stand out in the competitive job market with Edure's comprehensive Pre-Placement Training. Equip yourself with essential skills and insights to enhance employability and bridge the gap between education and professional readiness.

Internship Opportunity:

Go beyond theoretical learning with Edure's valuable Internship Opportunities. Apply your acquired skills in real-world scenarios, supplement your academic knowledge, and ensure a holistic and industry-relevant education.

Whether you're just starting out or looking to upskill, our courses are designed to equip you with the skills you need to excel in your chosen field. Join us at Edure and start your journey towards becoming an industry-ready professional.

Certification

Certificate of Completion
certificate
  • Professional Validation: A certificate from our course serves as tangible proof of your proficiency in the field, validating your skills and expertise.
  • Career Advancement: Showcase your commitment to staying current with industry trends and technologies. This enhances your resume for potential job opportunities and career advancement in your chosen field.
  • Client Confidence: Displaying a certificate from our course instills confidence in clients and employers. It assures them of your ability to deliver robust and reliable solutions using the skills and knowledge you've gained from the course.

Excited to learn??

Job Roles

As the demand for Data Science professionals continues to rise, individuals with expertise in these technologies have a wide array of career opportunities across various industries and job roles in the ever-evolving field of data analysis. Individuals who have studied Data Science can pursue various rewarding career options in the field of data analysis. Here are some career paths:

Machine Learning Engineer:

Specialize in creating algorithms that can learn from and make predictions based on data. They ensure seamless data flow in machine learning projects.

Data Visualization Expert:

Combine Data Science skills with design principles to focus on creating intuitive and visually appealing data visualizations.

AI Ethicist:

The AI Ethicist plays a key role in guiding the ethical development and deployment of artificial intelligence systems, ensuring responsible and unbiased AI practices. Responsibilities include evaluating and mitigating ethical implications, promoting fairness, transparency, and accountability in AI technologies.

Data Architect:

Take on leadership roles, guiding development teams and making architectural decisions for large-scale data projects.

NLP Engineer:

The NLP Engineer designs and implements Natural Language Processing algorithms for extracting insights from unstructured data, contributing to advancements in language understanding and interaction within various applications.

Computer Vision Engineer:

The Computer Vision Engineer designs and implements computer vision algorithms, enhancing image and video processing for applications such as object recognition and autonomous systems. This role involves developing innovative solutions to advance visual perception technologies within diverse projects.

Junior Data Scientist:

The Junior Data Scientist analyzes and interprets complex datasets, applies statistical and machine learning models, and collaborates with cross-functional teams to derive actionable insights and support data-driven decision-making within the organization.

Freelance Data Consultant:

Work independently as a freelance consultant, taking on diverse projects and clients, and leveraging Data Science skills to deliver customised solutions.

AI Specialist:

Specialise in building and maintaining AI platforms, leveraging Data Science technologies to create scalable and intelligent systems.

Deep Learning Engineer:

Extend skills to deep learning development, building neural networks and AI models for both structured and unstructured data.

Data Analyst:

Focus on analyzing large datasets to help businesses make informed decisions. Understanding of statistical tools and data visualization techniques is key in this role.

Data Engineer:

Leverage expertise in databases, ETL tools, and data pipelines to work on diverse data infrastructure projects.

Business Intelligence Analyst:

Create dynamic and interactive dashboards and reports using Data Science technologies, ensuring optimal business insights.

Data Scientist:

Develop predictive models and algorithms, working on both structured and unstructured data. Data Science knowledge is particularly valuable for this versatile role.

These roles showcase the diverse career paths available to individuals with Data Science expertise, ranging from specialised roles like Data Visualization Expert to leadership positions such as Data Architect. The flexibility of Data Science skills allows professionals to explore various avenues within the dynamic field of data analysis. Join us at Edure and take the first step towards a rewarding career in Data Science. Your journey to becoming a skilled data science professional starts here!

OUR STUDENTS WORK AT

At Edure, our commitment to excellence is reflected in the impressive list of organizations where our students have found fulfilling placements.

Diploma in Data Science Course Details

Our Data Science Course is a comprehensive program that dives into the vibrant world of data science. It encompasses vital topics such as Data Analysis, Machine Learning, Statistical Modeling, Data Visualization, and Big Data. The course equips you with the skills for Data Cleaning, Exploratory Data Analysis, creating predictive models, strategic use of machine learning algorithms, crafting effective data visualizations, and interpreting big data. Additionally, it introduces you to Python, R, SQL, and data visualization tools for successful data projects. This course, offering a balanced mix of theory and practice, caters to beginners and professionals alike, providing a learning path tailored to your needs in the fast-paced data science landscape.

What you will Learn

  1. Introduction to programming with Python:
    • Python fundamentals
    • User defined functions
    • Object oriented Programming
    • Tkinter as GUI
  2. Data Analysis with Python:
    • Exploratory data analysis
    • Numpy arrays
    • Pandas
    • Seaborn and matplotlib for data visualization
  3. Machine Learning:
    • Data Preprocessing techniques
    • Regression algorithms
    • Classification algorithms
    • Clustering algorithms
  4. Natural Language Processing:
    • Regular Expressions
    • NLTK Library
    • Stemming & Lemmatization,
    • Named entity recognition and Stopwords
  5. Image Processing:
    • Computer vision
    • Drawing on images
    • Edge detection and Grid detection
    • Watershed Algorithm
  6. Deep Learning:
    • Neural Network using Tensorflow and Keras
    • Convolutional Neural Network (CNN)
    • Recurrent Neural Network (RNN)
    • LSTM and GRU.

Skills and Tools you will learn

  • Python
  • Numpy & Pandas
  • Matplotlib & Seaborn
  • Machine Learning
  • Natural Language Proessing
  • OpenCV
  • Tensor Flow

Upcoming Batches and Events

Offline Batch - 06 May 2024

Monday to Friday - 10:00 AM - 1:00 PM (IST)

Online Batch - 06 May 2024

Saturday 10:00 AM - 1:00 PM (IST)

Course Fee: INR 55000 + Taxes ( Limited Time Deal for the upcoming Batches )

Easy EMI: INR 60000

100% Money-Back Guarantee: If you do not like our course, you can claim a 100% money return after your first session.

Certification Fee: Price included an exam and IIMSKILLS certification fees.

Group Discount: 10% group discount on 3 or more registration.

Excited to learn??

Projects

Module 1:
Python Projects

  • Tic Tac Toe
  • Hand Cricket
  • Notepad
  • Calculator
  • Quiz maker

Module 2:
Data Analysis Projects

  • Operation Exercise USA
  • Ecommerce Purchase
  • 911 Data Calls capstone project

Module 3:
Machine Learning projects

  • Gold Price Prediction
  • Housing price prediction
  • Advertisement prediction
  • Diabetes prediction
  • Bank Marketing prediction
  • Airline passenger satisfaction prediction
  • Payment fraud detection
  • Income evaluation prediction
  • credit card customer clustering
  • employee attrition classification
  • customer behavior analysis
  • credit risk analysis

Module 4:
NLP projects

  • Stock Market prediction
  • Text based emotions predictions

Module 5:
Image Processing Projects

  • Ecommerce Product Classification
  • Image classification

Module 6:
Deep Learning

  • Brain Tumor classification
  • Movie review using RNN
  • Sarcasm prediction
  • Spooky author identification
  • Cotton plant disease prediction
  • Hurricane damage detection
  • Satellite image detection
  • facemask prediction
  • Movie genre prediction

Testimonials

Diploma in Data Science Training Process

1
Registration

Upon successful registration, gain access to our course, including pre-reading materials and a guide on setting up your learning environment.

2
Select Your Batch

Choose from our flexible batch options, with both weekday and weekend schedules available. Tailor your learning to a day that suits your preferences, and feel free to switch batches if needed.

3
Induction

Engage in an informative induction session to familiarise yourself with the course methodologies, structure, and expectations. Get insights into the dynamic world of your chosen field.

4
Weekly Assignment

Enhance your hands-on experience with daily assignments that reinforce the concepts covered in live classes. Apply your learning immediately and receive feedback to strengthen your understanding.

5
Attendance

Maintain a minimum attendance in live classes to qualify for the course certification. Recorded sessions are available for flexibility, ensuring that your progress is accounted for.

6
Mock Interview

Participate in mock interviews designed to simulate real-world scenarios. Gain valuable experience, receive constructive feedback, and sharpen your interview skills in preparation for professional opportunities.

7
Projects

Immerse yourself in real-world projects that challenge and reinforce your skills. Apply theoretical knowledge to practical scenarios, building a robust portfolio to showcase your expertise to potential employers.

8
Monthly Awards

Stand out and be recognized for your achievements with monthly awards. Celebrate excellence, innovation, and dedication within the course community.

9
Pre-Placement Training

Receive specialised pre-placement training to refine your technical and soft skills. Prepare for interviews, enhance your resume, and gain a competitive edge in the job market.

10
Placement Support

Benefit from our dedicated placement support services. Schedule interviews with top organisations seeking professionals in your field, leveraging our network and reputation in the industry.

11
Getting Placed

Post-completion of the course, unlock various career paths: secure a full-time position, establish your own agency, pursue freelancing opportunities, or leverage your new skills to enhance your existing business.

This comprehensive training process ensures that participants not only gain technical proficiency in their chosen field but also receive support, recognition, and placement assistance for a successful transition into the professional landscape.

Excited to learn??

Who can Learn

This Data Science course is designed for individuals who are eager to dive into the world of data and enhance their analytical skills. It is ideal for:

Whether you're a beginner with a passion for data, a seasoned professional looking to diversify your skill set, or an entrepreneur aiming to take control of your data projects, this course is designed to empower and benefit a diverse range of learners in the pursuit of becoming proficient data scientists.

To successfully study the Data Science course, participants should meet the following minimum requirements:

These minimum requirements ensure that participants have the foundational knowledge and resources needed to engage effectively with the course content and successfully complete the Data Science program.

Reviews

Excited to learn??

BLOGS

Frequently Asked Questions

To start a career in Data Science with no prior experience, consider acquiring foundational skills in programming (Python), statistics, and data manipulation. Engage in online courses, attend workshops, and work on personal projects to build a portfolio. Networking with professionals in the field and participating in online communities can provide valuable guidance and opportunities.

Data Science is a multidisciplinary field that utilizes scientific methods, processes, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It is essential because it empowers organizations to make informed decisions, predict future trends, and gain a competitive edge by leveraging data-driven strategies.

Key skills for a Data Science career include proficiency in programming languages (such as Python or R), statistical analysis, machine learning, data wrangling, and effective communication. Additionally, a strong understanding of databases, domain knowledge, and problem-solving skills are valuable assets in this field.

Data Science can significantly benefit your business by uncovering hidden patterns in data, providing valuable insights for strategic decision-making. It aids in optimizing processes, improving customer experiences, and enhancing overall efficiency. Through predictive modeling, businesses can anticipate trends and stay ahead of the competition.

Yes, while both fields involve working with data, Data Science encompasses a broader spectrum, including advanced statistical analysis, machine learning, and predictive modeling. Data Analytics, on the other hand, focuses on analyzing historical data to identify trends, patterns, and make informed business decisions. Data Science often involves creating new algorithms and models, while Data Analytics emphasizes reporting and visualization.