- Gripdata Analytics
Data Science Course in Bhubaneswar
Upgrade your career with the best data science course in Bhubaneswar with High Paying Job Opportunities. Gripdata Analytics provides advanced data science training in data science with hands-on project experience and providing 100% job placement support. You will get Advance Data Science Training from 10 years experienced industry experts from this field to acquire the most in-demand data science and AI abilities.
- Gripdata Analytics
How Can We Help You?
If you’re searching for the best data science Institute in Bhubaneswar, featuring industry-leading instructors, Gripdata Analytics is the ideal destination for your training needs in Data Science Training.
In Our data science training we use statistical analytic tools, machine learning, deep learning, and other technologies to analyze data and solve business problems. This collaborative topic integrates a variety of tools, methodologies, algorithms, and deep learning/machine learning concepts to find hidden patterns in raw data, with the goal of providing important insights and solutions.
Leading edge courses offered
Data science certification course Fees in Bhubaneswar
Grip Core / Grip Start
- 3 Courses
- 40 Hours
- Python for Data Science
- SQL for Data Management
- Data Analysis using Excel
Feel free to explore these courses and enhance your data skills! 😊📊📈
INR 15000/-
Grip Edge Track
- 2 Courses
- 35 Hours
- Advanced Python for Data Science
- Advanced SQL for Data management
These courses will empower you with advanced skills! 🚀📊🐍
INR 26000/-
Grip Vision Track
- 3 Courses
- 30 Hours
- Power BI for Data Visualisation
- Tableau Basics for Data Visualization
- Data Analysis using Excel
Explore these courses to enhance your data skills! 📊🔍🚀
INR 12000/-
Data science certification course in Bhubaneswar
The Data Science Course In Bhubaneswar, crafted by iHUB experts from IIT Roorkee and seasoned industry professionals, is designed to help you secure top positions in leading MNCs. This comprehensive online program includes hands-on projects and assignments with real-world applications, ensuring you gain practical experience and accelerate your career growth.
Throughout the training, you’ll encounter quizzes that mirror the certification exam questions, helping you achieve higher scores and solidify your knowledge. Upon successfully completing the project work and achieving a minimum of 60% on the quiz, you will earn a Data Science course completion certificate. This certification is highly valued by over 80 leading companies, including Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Standard Chartered, TCS, and Genpact, enhancing your employability and career prospects.
Gripdata Certificate Example
Learn Data Science from the Best Data science institute in Bhubaneswar
Upgrade your career with the best data science course in Bhubaneswar with High Paying Job Opportunities. Gripdata Analytics provides advanced data science training in data science with hands-on project experience and providing 100% job placement support. You will get Advance Data Science Training from 10 years experienced industry experts from this field to acquire the most in-demand data science and AI abilities. If you’re searching for the best data science Institute in Bhubaneswar, featuring industry-leading instructors, Gripdata Analytics is the ideal destination for your training needs in Data Science Training.
In Our data science training we use statistical analytic tools, machine learning, deep learning, and other technologies to analyze data and solve business problems. This collaborative topic integrates a variety of tools, methodologies, algorithms, and deep learning/machine learning concepts to find hidden patterns in raw data, with the goal of providing important insights and solutions.
key features
Key Features Of Data Science Training Institute in Bhubaneswar?
Gripdata Analytics offers Data Science Training with 10 years Industry expert trainers. Here are the key features:
- 40 Hours Course Duration
- 100% Job Oriented Training
- Industry Expert Faculties
- Free Demo Class Available
- 300+ Hours of Practical Assignments
- Completed 500+ Batches
- Certification Guidance
- Instant Doubt Clarification
- 6 Months Internship Certificate
- Assured Minimum Package 5-25 LPA
- Masterclasses from IBM experts
- Certificate from IBM
- Gripdata's Job assist helps you get noticed by top hiring companies
- Dedicated live sessions led by industry professionals.
Why data science
Why Start Your Journey in Data Science?
Data science has become a pivotal aspect of the software industry as companies increasingly recognize the critical role of data. Efficiently sourcing and processing data is essential for organizational growth, creating a high demand for individuals equipped with data science expertise. Organizations rely on data scientists, analysts, and other data professionals to derive insights that provide a competitive edge and enhance profitability.
This surge in demand has resulted in a wealth of opportunities within the data science field. According to the American Bureau of Labor Statistics, the industry is expected to grow by nearly 30% by 2026. Consequently, US News has ranked “Data Scientist” among the top three technology jobs. Mastering data science skills can lead to swift and substantial rewards.
While learning data science and completing projects in this field may be challenging, the payoff is significant. Competitive salaries are on the rise as companies vie for top talent. The University of San Francisco reports that its MS in Data Science graduates earn a median salary of $125,000, with over 90% securing full-time positions within three months of graduation. A career in data science not only promises financial rewards but also virtually guarantees job security.
High Demand for Data Professionals: The increasing recognition of data’s importance in decision-making has created a high demand for data scientists, analysts, and other data experts.
Rapid Job Growth: The American Bureau of Labor Statistics projects nearly 30% growth in data science-related jobs by 2026, indicating strong future job security.
Competitive Salaries: Data scientists are among the highest-paid professionals in the tech industry. Graduates of data science programs often secure high median salaries, reflecting the value of their skills.
Diverse Career Opportunities: Data science skills are applicable across various industries, including healthcare, finance, marketing, and technology, offering a wide range of career paths.
Impactful Work: Data scientists play a crucial role in driving business strategies and decisions, making their work impactful and valued by organizations.
Problem-Solving: Data science involves tackling complex problems and finding innovative solutions, making it a highly rewarding field for those who enjoy analytical thinking and problem-solving.
Technological Advancement: As technology evolves, data science remains at the cutting edge, providing opportunities to work with the latest tools and techniques in machine learning, AI, and big data.
Interdisciplinary Nature: Data science combines elements of statistics, computer science, and domain expertise, making it a dynamic and interdisciplinary field.
Career Flexibility: With data science skills, professionals can transition between roles and industries more easily, allowing for a flexible and adaptable career trajectory.
Educational Opportunities: Numerous educational programs, bootcamps, and online courses are available to help you gain data science skills, making it accessible for those looking to enter the field or upskill.
Job opportinities
Career Opportunities After Learning Data Science
Data Scientist
Make big programs that work well and create awesome apps. The salary of a data scientist in India ranges between ₹600,000 to ₹1,500,000 per year.
Data Analyst & Insights Analyst
Fix data problems and make the info better after finding mistakes.The salary of an Analytics and Insights Analyst in India ranges between ₹400,000 to ₹1,000,000 annually.
AI & ML Engineer
Connect smart programs to websites and put them online using special tools. The salary of an AI & ML Engineer in India ranges between ₹800,000 to ₹1,500,000 per year.
Data Engineer & Data Analyst
Clean up data, change it, and show what we learn in easy reports. The salary of a Data Engineer & Data Analyst in India ranges between ₹500,000 to ₹1,200,000 annually
Junior Data Scientist
Study how things work with fancy math and make smart rules. The salary of a Junior Data Scientist in India ranges between ₹300,000 to ₹700,000 per year.
Applied Scientist
Use smart ideas to make business stuff better with special programs. The salary of an Applied Scientist in India ranges between ₹800,000 to ₹1,500,000 or more yearly.
key features
Skills Covered in Our Online/Offline Data Science Course In Bhubaneswar
- Python
- Data Science
- Data Analysis
- AI
- GIT
- MLOps
- Data Wrangling
- SQL
- Story Telling
- Machine Learning
- Prediction algorithms
- NLP
- PySpark
- Model
- Data visualization
Job opportinities
Tools Covered to Become a Data Scientist in Bhubaneswar
Python Programming
Fundamental languages for data science, offering powerful libraries for data analysis, visualization, and machine learning
Jupyter Notebooks
An open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text
Cloud Platforms (AWS, Google Cloud, Azure)
Services that offer scalable computing power and storage, essential for handling big data projects and deploying machine learning models.
Tableau and Power BI
Popular data visualization tools that help in creating interactive and shareable dashboards, aiding in data-driven decision-making
Apache Hadoop and Spark
Frameworks for distributed storage and processing of large datasets, enabling efficient data handling and analysis
SQL
Essential for managing and querying databases, a crucial skill for handling large datasets
TensorFlow and PyTorch
Leading libraries for deep learning, used for developing and training neural networks
Excel
A versatile tool for data manipulation and analysis, often used for quick data insights and visualization.
Git and GitHub
Version control systems for managing code, enabling collaboration and tracking changes in projects
These tools are integral to becoming a proficient data scientist in Bhubaneswar, equipping you with the necessary skills to excel in the data science field.
Career Switch
Who Can Make a Career Switch to Data Science
Switching from Software Engineering to Data Science
If you're good at writing code and solving problems, you can switch to data science. You could work on things like teaching computers to learn or analyzing big sets of information
Data Science Careers for New Graduates
If you just graduated from college in subjects like math, science, or computer science, you can jump into data science. There are jobs where you can analyze data, make predictions, or help businesses understand information better
Starting Out in Data Science
Even if you're just starting and don't know much about data science, you can learn. Begin with basic math, stats, and computer skills. Then, you can start with simple jobs like helping with data analysis or doing research
For Fans of Math and Tech
If you love math or playing with computers, data science could be for you. You could work on cool projects like making computers smarter or finding patterns in data
If You're Tech-Savvy
People who are good with computers and writing code can dive into data science. You might work on building tools to analyze data or creating programs that learn from information
For Those Who Love Analyzing Data
If you enjoy looking at information and making decisions based on it, data science might be your thing. You could help businesses understand their data better and make smarter choices
Perfect for Research Buffs
If you enjoy digging into data to find answers or solutions, data science could be a good fit. You might work on projects like figuring out trends or solving tricky problems with data.
Industry Experts Wanted
If you already know a lot about a certain field, like finance or healthcare, you can use that knowledge in data science. You could help businesses in your industry make better decisions using data
Great for Spotting Trends
If you're good at seeing patterns in numbers or understanding probabilities, data science could be a good match. You might work on projects like predicting future trends or understanding what's happening now
Problem-Solving Whizzes Welcome
If you love solving puzzles or figuring out solutions, data science could be your playground. You might work on finding new ways to solve problems using data
Statistical Superheroes
If you're comfortable with numbers and like thinking about probabilities, data science could be a good fit. You might work on projects like predicting outcomes or understanding trends using statistics
Creative Thinkers Wanted
If you're good at coming up with new ideas or thinking outside the box, data science could be a good fit. You might work on projects like finding new ways to analyze data or solve problems creatively
Always Curious? Dive into Data
If you're always eager to learn new things and explore different topics, data science could be an exciting field for you. You could work on projects that let you learn and discover new things every day
Why Gripdata Analytics is the best Data Science Institute In Bhubaneswar?
Gripdata Analytics stands out as the best Data Science Institute in Bhubaneswar for a lot of reasons. We provide hands-on instruction on crucial tools and languages, covering a wide range of topics such as Data Mining, Collection, and Cleansing. Students learn about statistical ideas and real-world applications while also developing crucial data analysis abilities. We focuses practical instruction and provide competency in programming, algorithms, and data visualization approaches.
Furthermore, Gripdata Analytics has a cheap fee structure, making great education available to everyone. It is regarded as the best option for potential data scientists due to its thorough curriculum and guaranteed placement. Gripdata Analytics offers students comprehensive support, from training to job placement, allowing them to begin fulfilling careers in the dynamic field of data science.
Our Data science course syllabus in Bhubaneswar is designed for zero to Hero in Data Science
This is the Complete Data Science Course Syllabus is Designed by Grip Data Analytics For Becoming a High Paying Data Scientist. Our data science course in Bhubaneswar is made for anyone starting from zero to become a Hero in data science. We’re here to give you the skills you need to land high-paying jobs as a data scientist. From learning the basics of statistics and programming to diving into advanced machine learning and big data tech, we cover it all. And to make sure you can use what you learn in the real world, we have projects and assignments where you’ll get your hands dirty with real data.
Career Switch
Our Data science course syllabus
Module 1: Introduction to Data Science
- Overview of Data Science
- Understanding the Data Science Lifecycle
- Real-world Applications of Data Science
- Introduction to Tools and Technologies in Data Science
Module 2: Programming Foundations for Data Science
- Introduction to Python Programming
- Basic Syntax and Data Structures in Python
- Introduction to Libraries: NumPy, Pandas, Matplotlib, Seaborn
- Basic Syntax and Data Structures
- Introduction to Libraries: dplyr, ggplot2, tidyr
Module 3: Statistics and Probability Fundamentals
- Understanding Descriptive Statistics
- Introduction to Inferential Statistics
- Basics of Probability Theory
- Introduction to Hypothesis Testing
- Understanding Statistical Distributions
- Introduction to Regression Analysis
Module 4: Data Wrangling and Exploration
- Data Cleaning Techniques
- Handling Missing Values in Data
- Data Transformation Methods
- Exploratory Data Analysis (EDA) Techniques
- Introduction to Feature Engineering
Module 5: Data Visualization
- Principles of Data Visualization
- Introduction to Visualization Tools: Matplotlib, Seaborn, Plotly, Tableau, Power BI
- Creating Various Charts and Graphs
- Interactive Data Visualization Techniques
- Dashboard Design Principles
Module 6: Machine Learning Basics
- Introduction to Machine Learning Concepts
- Understanding Supervised Learning
- Introduction to Regression Techniques: Linear, Polynomial, Logistic
- Introduction to Classification Techniques: Decision Trees, Random Forest, K-Nearest Neighbors (KNN), Support Vector Machines (SVM)
- Understanding Unsupervised Learning
- Introduction to Clustering Techniques: K-Means, Hierarchical, DBSCAN
- Introduction to Dimensionality Reduction Techniques: PCA, t-SNE
- Model Evaluation and Validation Techniques
- Cross-Validation Methods
- Understanding Evaluation Metrics: Accuracy, Precision, Recall, F1 Score
Module 7: Advanced Machine Learning
- Understanding Ensemble Learning Methods
- Introduction to Bagging, Boosting, and Stacking
- Introduction to Time Series Analysis
- Introduction to Natural Language Processing (NLP)
- Text Preprocessing Techniques
- Sentiment Analysis
- Introduction to Topic Modeling
- Introduction to Deep Learning
- Understanding Neural Networks
- Introduction to Convolutional Neural Networks (CNN)
- Introduction to Recurrent Neural Networks (RNN)
- Introduction to Deep Learning Frameworks: TensorFlow, Keras, PyTorch
Module 8: Big Data Technologies
- Introduction to Big Data Concepts
- Overview of the Hadoop Ecosystem
- Understanding HDFS, MapReduce, and YARN
- Introduction to Apache Spark
- Understanding RDDs, DataFrames, and Spark SQL
- Overview of Data Storage Solutions
- Introduction to NoSQL Databases: MongoDB, Cassandra
Module 9: Data Engineering
- Introduction to Data Pipeline Design
- Understanding ETL (Extract, Transform, Load) Processes
- Introduction to Workflow Automation
- Overview of Cloud Data Solutions: AWS, Google Cloud, Azure
- Introduction to Docker and Kubernetes for Data Science
Module 10: Data Ethics and Governance
- Understanding Data Privacy and Security
- Ethical Considerations in Data Science
- Overview of Data Governance Policies
- Legal and Compliance Issues in Data Science
Module 11: Capstone Project
- Problem Identification
- Data Collection and Preprocessing
- Model Building and Evaluation
- Visualization and Presentation of Results
- Project Documentation
Module 12: Soft Skills and Career Development
- Developing Communication Skills for Data Scientists
- Building a Data Science Portfolio
- Resume Writing and Interview Preparation
- Networking Strategies and Industry Connections
Our own designed syllabus covers a wide range of topics, from the basics of programming and statistics to advanced machine learning techniques, big data technologies, and ethical considerations in data science. The course includes hands-on projects and assignments to help students apply their knowledge in real-world scenarios.
FAQ'S
Our Data science course syllabus
Think of data science like being a modern detective. It uses tools and smart technology to find hidden patterns and answers in piles of data.
The most important skill for data science is a mix of knowing statistics well and being good at computer programming, especially in languages like Python. This helps experts handle data, do math stuff, and find important insights to solve tricky problems.
While data science is a mix of many things, studying computer science, math, statistics, or engineering can really help. These subjects teach you how to think logically, use computers, and analyze numbers – all super important for data science jobs.
Yes, data science will still be around in 10 years! With so much data growing every day, businesses will still need smart people to make sense of it all and help them make better decisions.
It might be tough, but with lots of practice and focus, you can learn the basics of data science in three months. But to really become a pro, it usually takes longer.
Absolutely! Data science is for everyone. Even if you didn’t study computers or math, you can still learn. Many successful data scientists come from different backgrounds, like economics, science, or even art!
Yes, even if you’re just starting, you can learn data science. There are lots of free resources online to help you learn step by step. With time and practice, you can become a data wizard!
There’s no minimum age! Anyone who’s interested can start learning about data science. But since it’s kinda complicated, older students might find it easier to understand.
Yes, fresh graduates can do great in data science! There are many jobs and internships available for beginners. With the right skills, you can land cool jobs in analyzing data, making predictions, and more.
The pay can vary, but in India, data scientists can earn from 6 to 12 lakhs per year on average. But remember, it depends on where you work and how much experience you have.
Yes, Bhubaneswar needs data scientists! Many companies there use data to make decisions. So, if you’re skilled in data science, you’ll find plenty of opportunities.
Data science is all about using smart methods to understand and learn from data. It combines math, computers, and knowledge about different fields to find important stuff in lots of information.
Lots! From tech and healthcare to finance and retail, almost every industry uses data science. It helps them do things like making better products, understanding customers, and even saving lives!
It can be tricky, but don’t worry! With practice and help from online courses, anyone can learn data science.
Anyone with a knack for numbers and curiosity can learn data science! While it helps to have some background in math or computers, anyone who’s keen to learn can become a data whiz!
Gripdata Analytics provides both offline and online classes for the data science courses. Their classrooms are present across multiple locations..(Saheednagar, satyanagar, Nayapalli, patrapada,etc) flexible locations can be chosen for attending classes as per student’s convenience.
