Dreaming of a perfect career in the Data Science domain after graduation? Look no further; Emerging India Analytics, in association with NASSCOM, is offering the best Data Science course to kickstart your career in data science or other related fields with ease.
Emerging India Analytics in its data science course after graduation, provides the perfect blend of theoretical knowledge, tools, and practical application with industry-led projects, facilitating faster career growth. Upon completing the Emerging India Analytics Data Science course after graduation, you will propel your growth and career prospects effortlessly.
Best Data Science Course After Graduation in Association with NASSCOM
Data science after graduation could be tricky. But with proper guidance and support, you can overcome all the challenges. Here is how Emerging India Analytics in association with NASSCOM provides the best data science course for graduates that will transform your career.
- Master essential Data Science skills: Learn Python programming, statistics, machine learning algorithms, deep learning, and big data technologies.
- Sharpen your analytical prowess: Learn how to wrangle, clean, and analyze massive datasets to extract meaningful insights and build predictive models.
- Gain practical experience: Apply your theoretical knowledge to real-world challenges through meticulously curated case studies and industry-relevant projects.
- Build a comprehensive portfolio: Showcase your skills and expertise to potential employers with a robust portfolio of projects completed throughout the program.
What is the Certification Process for Data Science Course after Graduation?
Well, learning Data Science would be a challenging task, especially if you are from a non-tech background. In order to learn data science, you need to follow all these steps.
Step 1: Master the Fundamentals:
- Immerse yourself in our comprehensive data science curriculum, designed to equip you with the essential knowledge and skills.
- Learn programming languages like Python, statistical analysis, machine learning algorithms, and big data technologies.
- Gain hands-on experience through interactive exercises and workshops, solidifying your understanding of key concepts.
Step 2: Hone Your Skills with Projects:
- Put your theoretical knowledge into practice by tackling real-world data science projects under the guidance of industry experts.
- Work on individual and collaborative projects, building a robust portfolio showcasing your abilities.
- Receive personalized feedback and mentorship throughout the project phase, ensuring you refine your skills for maximum impact.
Step 3: Conquer the NASSCOM Certification Exam:
- Feel confident and prepared as you take the online NASSCOM Data Science Certification Exam.
- Our curriculum aligns seamlessly with the exam format and content, maximizing your chances of success.
- Benefit from dedicated exam preparation workshops and practice tests to sharpen your skills and conquer the exam with ease.
Step 4: Land Your Dream Job with Guaranteed Placement:
- Upon earning your NASSCOM Data Science Certification, our committed placement team swings into action.
- We craft a compelling resume highlighting your skills and accomplishments, showcasing your potential to top IT companies.
- Leverage our extensive industry network and partnerships to secure interviews with leading organizations.
- Receive expert guidance and coaching throughout the interview process, ensuring you make a winning impression.
With our proven track record and unwavering commitment to your success, you can be confident that this pg data science course is your bridge to a rewarding career in Data Science.
Emerging India Analytics Provides Data Science Course After Graduation
Looking to launch a vibrant career in Data Science without the stress of job hunting? Emerging India Analytics offers the perfect solution with its comprehensive online data science course after graduation. Ditch the limitations of location and delve into the world of data, mastering the complete Data Science lifecycle from the comfort of your own space.
This program meticulously covers every stage, from data collection and cleaning to insightful model creation and captivating visualization. Hone your skills in core areas like statistical analysis, machine learning, deep learning, and text mining, while mastering essential tools like Python, RStudio, Tableau, and Spark. Our expert instructors, hailing from industry and academia, guide you every step of the way, ensuring you grasp complex concepts and confidently apply them to real-world problems.
But the learning doesn’t stop there. Emerging India Analytics doesn’t just equip you with knowledge; it empowers you with success. Upon completion data science course after graduation, our dedicated placement team takes charge, crafting an impactful resume and leveraging their extensive network to land you interviews with top IT companies. With over 400+ successful placements in renowned organizations like E&Y, Panasonic, Accenture, and Infosys, their track record speaks for itself.
So, why wait? Enroll in Emerging India Analytics’ online data science course after graduation and pave the way for a thriving career in Data Science. Master cutting-edge skills, gain practical experience, and land your dream job – all under one roof. Embrace the excitement of data-driven opportunities; your future starts today!
Challenges Faced by Non-IT Background Students While Learning Data Science Course After Graduation
Emerging India Analytics, in association with Nasscom, acts as a bridge for non-technical individuals, empowering them to overcome these challenges and embark on a successful data science career. Remember, it’s a journey of learning and perseverance, and with the right guidance and resources, your non-technical background can become your unique advantage in this exciting field.
Why Pursue Data Science as a Non-Technical Person?
- High Demand and Lucrative Salaries: Data scientists are among the most sought-after professionals globally, commanding competitive salaries and career growth opportunities.
- Intellectual Challenge and Creativity: Data science combines problem-solving with creativity, offering a chance to learn, explore, and make a real impact using data.
- Versatility and Career Flexibility: Data science skills are applicable across diverse industries, providing multiple career paths and opportunities for professional growth.
- Personal Growth and Impact: Gaining valuable analytical and technical skills while contributing to data-driven solutions for real-world problems is personally rewarding and impactful.
Myths vs. Realities of Data Science for Non-Technical Backgrounds
Myth: You need to be a math whiz.
Reality: While strong analytical skills are beneficial, data science involves more than just crunching numbers. Effective communication, problem-solving, and domain knowledge are equally important.
Myth: Coding is everything.
Reality: Coding is a tool, not the end goal. Understanding the problem and applying the right analytical techniques through code is what truly matters.
Myth: It’s a saturated field.
Reality: The demand for data scientists is booming across industries, and skilled professionals from diverse backgrounds are highly sought-after.
Myth: You need years of experience.
Reality: Our specialized training programs can equip you with the necessary skills and portfolio to kickstart your data science career quickly.
5 Common Challenges Faced By Candidates from Non-IT Backgrounds Before Pursuing Data Science After Graduation
Bridging the Technical Gap: The biggest hurdle is grasping complex statistical and programming concepts with little prior exposure. That is why we offer a beginner-friendly syllabus designed specifically for non-IT backgrounds, focusing on practical applications and building confidence through hands-on learning.
Fear of Coding: Coding for data analysis can seem intimidating. Our course has beginner-friendly programming languages like Python and R, with dedicated instructors and mentors to provide personalized support and overcome coding anxieties.
Limited Domain Knowledge: Applying data science to specific industries without relevant experience can be difficult. That is why we offer industry-specific courses partnered with leading companies, providing real-world case studies and mentorship from domain experts, bridging the gap between theory and practice.
Building a Portfolio: Lack of projects and experience can hinder job prospects. That is why our data science course for non IT background encourage participation in hackathons and real-world projects, helping students build a strong portfolio to showcase their skills to potential employers.
Navigating the Career Landscape: Understanding career paths and finding the right job can be confusing. That is why our career guidance services provide resume and interview coaching, connect students with industry partners, and offer job placement assistance, ensuring a smooth transition into the data science world.
What Is Data Science? Who Is a Data Scientist?
Data science, once a mystical term whispered in hushed Silicon Valley tones, has exploded into a mainstream phenomenon. It’s the art of extracting meaning from the mountains of data we generate daily, using it to predict trends, solve problems, and even understand human behavior. Data scientists, the modern-day alchemists, wield this powerful magic, transforming raw data into gold-plated insights. They’re the storytellers of our digital age, weaving compelling narratives from seemingly meaningless numbers.
However, navigating the landscape of data science education can feel like venturing into a labyrinth. Finding the “best data scientist course with placement” isn’t as straightforward as flipping through a catalog anymore. The sheer abundance of options, each promising the moon and stars, can be overwhelming. Worse, conflicting reviews and dubious claims create a fog of confusion, making it difficult to discern genuine gems from glittering pyrites.
This confusion stems from the multifaceted nature of data science itself. It’s not just about crunching numbers; it’s a symphony of statistics, programming, communication, and domain expertise. So, the “best” course depends on your individual goals, learning style, and budget. What propels one aspiring data scientist to success might leave another floundering, lost in a sea of jargon and algorithms.
So, what’s the key to navigating this confusing terrain? Start by asking yourself – what do I want to achieve? Do you dream of a career at a tech giant, building cutting-edge AI models? Or do you aspire to analyze patient data for medical breakthroughs? Once you have a clear vision, delve deeper into course structures, faculty credentials, and student testimonials. Seek out transparent placement statistics and alumni networks. Remember, the “best” course is the one that empowers you to unlock your unique potential within the vast universe of data science.
So, take a deep breath, arm yourself with critical thinking, and embark on your data science journey. The path may be winding, but the rewards are worth the effort. Remember, the magic of data science lies not just in the algorithms, but in the way you wield them to illuminate the world around you.
Why You Should Pursue a Data Science Course?
Here’s why pursuing a data science after graduation could be the smartest move you make:
- A Treasure Trove of Opportunities: 1.4 lakh vacant data science, AI, and big data jobs sit unfilled in India alone, according to NASSCOM. The world will face more than a 4 lakh data scientist deficit by 2025.
- A Demand Curve Going Vertical: With demand for data scientists surging 417% in just one year (as per Talent Supply Index), the future is bright.
- The Golden Fleece of Careers: Glassdoor ranked data science as the best job of 2018, and Harvard Business Review dubbed it “the sexiest job of the 21st century.” It’s not just lucrative; it’s intellectually stimulating, creatively challenging, and deeply impactful.
- Your Investment, Amplified: Data scientists command some of the highest salaries in the job market. The knowledge you gain is an investment that pays off handsomely, both financially and in terms of personal growth.
- Secure Your Future with the Best: Forget the confusion of countless options. Enroll in the best data science course after graduation with Emerging India Analytics and let industry experts guide you. Learn the in-demand skills, build a valuable portfolio, and leverage their extensive network to land your dream job.
The data science landscape is ripe for exploration, and with the right training and placement support, you can stake your claim in this digital gold rush. Don’t let this opportunity pass you by. Invest in your future, today.
Why Nasscom Data Science Program is Best?
When it comes to choosing the Best Data Scientist Course with Placement, the path to success becomes significantly smoother with the backing of a powerhouse like NASSCOM. This industry titan, spearheading the $245 billion Indian technology sector, isn’t just a name – it’s a network of over 3,000 leading IT companies, representing 90% of the industry’s revenue. This translates to unparalleled access to the hottest jobs, career-defining connections, and the industry’s pulse on cutting-edge advancements.
But how does this translate to your data science dream? NASSCOM, with its unwavering commitment to talent development, goes beyond advocacy. They curate and endorse data science programs designed to bridge the skill gap and prepare you for immediate impact. These programs, rigorously vetted for quality and relevance, offer the coveted Data Science Course after graduation with a 100% Placement guarantee, a testament to their commitment to your success.
Here’s how NASSCOM-backed data science courses shine:
Industry-Aligned Curriculum: Developed in collaboration with top tech companies, the curriculum mirrors the real-world demands of the data science landscape, ensuring you learn the relevant skills and tools sought after by employers.
Expert Faculty: Led by seasoned data science professionals and educators, you’ll gain invaluable insights from those who’ve navigated the trenches and emerged victorious.
Top-Tier Placements: Leverage NASSCOM’s extensive network and established track record of 100% placement to land your dream job directly at leading IT companies.
Targeted Job Assistance: Dedicated placement teams tailor your resume, coach you for interviews, and connect you with the right opportunities, propelling you seamlessly into your data science career.
Choosing a NASSCOM-backed data science course after graduation isn’t just about gaining knowledge; it’s about stepping into a pre-built ecosystem designed for your success. You’re backed by the industry’s most influential voice, equipped with the skills they demand, and connected to the job opportunities that await. It’s the fast track to your data science dream, paved by the expertise and influence of NASSCOM.
Advanced Post Graduation Program in Data Science and Artificial Intelligence
This is the best data science course after graduation we offer to our learners.
Microsoft Excel
- Overview
- Formatting
- Shortcuts
- Basic Formulas
- Sorting Data
- Filtering Data
- Charts (Column, Pie)
- Pivot Tables
- Lookup Functions (VLOOKUP, MATCH)
- VBA
Python Programming
- Introduction
- Variables and Data Types
- Operators
- Block Structure
- Data Structures
- Functions
- Modules
- Classes
- Libraries (NumPy, Pandas, Matplotlib, Seaborn)
Advanced Statistics
- Introduction
- Descriptive Statistics
- Population and Sample
- Types of Data
- Percentile, Quartile, IQR
- Measures of Central Tendency
- Asymmetry and Variability
- Skewness, Kurtosis
- Central Limit Theorem
- Confidence Interval
- Probability
- Probability Distributions (Discrete, Continuous)
- Hypothesis Testing
- Correlation and Covariance
Machine Learning
- Introduction
- Types of Machine Learning
- Algorithms (Linear Regression, Logistic Regression, Decision Trees, Naive Bayes, KNN, SVM, Random Forest)
- Cross-Validation
- Hyperparameter Tuning
- Ensemble Learning
Deep Learning
- Introduction to Neural Networks
- Forward Propagation
- Activation Functions
- Optimizers
- Loss Functions
- Weight Initialization
- Callbacks
- TensorBoard
- Keras Tuner
- Convolutional Neural Networks (CNNs)
- Time Series Analysis
- Recurrent Neural Networks (RNNs, LSTM, GRU)
R Programming
- Introduction
- Variables and Data Types
- Logical Operators
- Data Structures (Vectors, Lists, Matrices, Data Frames)
- Flow Control
- Functions
- Data Manipulation (dplyr, tidyr)
- Data Visualization
SQL
- Basics of Databases
- Data Types
- Operators
- Expressions
- DDL (CREATE, ALTER, DROP, TRUNCATE)
- DML (INSERT, UPDATE, DELETE, SELECT)
- Constraints
- Aggregation Functions
- Grouping (GROUP BY, HAVING)
- Ordering (ORDER BY)
- Joins
- Complex Queries
- Stored Procedures
- Triggers
- Common Table Expressions
- Indexing
- Partitioning
Tableau
- Products
- Installation
- Connecting to Databases
- Canvas Interface
- Data Types
- Hierarchies
- Measures and Dimensions
- Sorting and Grouping
- Parameters and Sets
- Data Blending
- Filters
- Marks Card
- Calculated Fields
- Visualizations
- Dashboard Creation
- Advanced Charting Techniques
- Data Prep Tool
PowerBI
- Platform
- Process Flow
- Features
- Datasets
- Binning
- Pivoting
- DAX Functions
- Charts
- Reports
- Dashboards
- Multiple Data Source Blending
- SSIS for ETL
Big Data Analytics with Hadoop and Spark
- Java
- MongoDB
- Hadoop
- MapReduce
- Pig
- Hive
- HBase
- Sqoop
- Flume
- Oozie
- Scala
- Spark
- PySpark
SAS
- Introduction
- Data Sets and Libraries
- Importing and Exporting Data
- Data Manipulation
- Generating Reports
- Error Handling
Artificial Intelligence with NLP, Computer Vision, and Reinforcement Learning
- Computer Vision (OpenCV, CNNs, Transfer Learning)
- Natural Language Processing (NLTK, Text Processing, Sentiment Analysis, Topic Modeling)
- Reinforcement Learning (Q-Learning)
- YOLO v5 (Object Detection)
Data Structures and Algorithms
- Introduction
- Recursion
- Big O Notation
- Arrays
- Lists
- Tuples
- Linked Lists
- Queues
- Trees (Binary, Binary Search, AVL)
- Heaps
- Sorting Algorithms
- Circular Linked Lists
- Doubly Linked Lists
- Dictionaries
- Stacks
- Searching Algorithms
- Greedy Algorithms
- Divide and Conquer Algorithms
- Graph Algorithms (BFS, DFS, Topological Sort, Shortest Path, MST)
This is the full syllabus of the graduate program in data science and artificial intelligence which is approx 990 hours that will help you to become a full-fledged data science with expertise in Artificial Intelligence.
Frequently Asked Questions
What is the data science course duration after graduation?
At Emerging India Analytics, the duration of the data science courses is flexible and designed to cater to the diverse needs of individuals. We offer a range of courses, including short-term, medium-term, and long-term options. The duration you opt for will depend on your specific requirements, career goals, and the depth of knowledge you wish to acquire in the field of data science.
Does Emerging India Analytics’ Data Science Course truly Job placement Assistance?
Yes, Emerging India Analytics offers job placement assistance! However, it comes into play once you earn the NASSCOM certificate. So, if you’re committed to becoming a data scientist and willing to dedicate yourself to mastering the skills and acquiring the NASSCOM certification, Emerging India Analytics offers a compelling option with a strong placement guarantee.
What should I do after completing a data science course with placement assistance?
Utilize the career services offered by the course, actively network with employers, and showcase your skills through projects and portfolios. Be proactive and persistent in your job search.
What skills are required for a data science career?
Strong skills in statistics, programming (Python, R), machine learning, and communication are essential. Some courses also cover advanced topics like deep learning and big data analytics.
What are the job prospects for data scientists?
Data science is a booming field with high demand and excellent salary potential. The NASSCOM program mentions over 1.4 lakh unfilled data science jobs in India alone.
Why Emerging India Analytics?
Customized Course Syllabus
Emerging India Analytics (EIA) understands one size doesn’t fit all in data science education. That’s why we offer customized course syllabi designed to match your specific background and career aspirations. Whether you’re a student seeking fundamental knowledge, a working professional looking to upskill, or a complete fresher exploring data science for the first time, EIA tailors data science course after graduation help in your learning journey. Our team will assess your current skillset and goals, then curate a curriculum that covers essential data science topics like Python programming, statistics, and machine learning, while focusing on specific specializations relevant to your desired career path.
Access to e-Learning
We believe in lifelong growth, so we offer exclusive, lifelong access to our entire e-learning library. Revisit topics, explore new specializations, and stay ahead of the curve – all at your own pace, forever. Invest in your future, not just a course.
Lifelong Access to Classroom Recordings
At Emerging India Analytics, our commitment goes beyond course completion. We offer a dynamic blend of flexibility and continuous learning through our distinctive channels. Leverage our Learning Management System (LMS) for on-demand access. Your personal library of recorded sessions ensures flexibility, allowing you to revisit concepts, catch up, and reinforce understanding at your own pace.
Assignments
Our curated capstone projects, spanning over 50 diverse industry domains, offer practical insights and industry expertise. Successfully completing these projects earns you a valuable project completion certificate, validating your hands-on experience and enhancing your professional profile. Dive into meaningful assignments that bridge the gap between theory and practice, propelling you toward a successful career in the dynamic field of data science.
Global Presence
We pride ourselves on empowering data science aspirants not just across India, but in diverse corners of the world. Students in Saudi Arabia, Oman, Qatar, UAE, and other Middle Eastern countries benefit from our top-notch training, honing their skills and unlocking career opportunities in their regions. Our reach doesn’t stop there. Through dedicated online programs and strategic partnerships, we indirectly impact lives in Europe and Southeast Asia, fostering a global community of data science enthusiasts.
