Master
Data Science Courses In Bhubaneswar
India’s Only Data Science Training Program created to help you to build a successful career in Data Science from scratch.
Top 10 Data Science Courses in Bhubaneswar with Placement
Welcome to our list of the Top 10 Data Science Course Institutes in Bhubaneswar!
Bhubaneswar is the capital and largest city of the Indian state of Odisha, located in the Khordha district. Bhubaneswar is dubbed the “Temple City”, a nickname earned because of the 700 temples which once stood there. In contemporary times, it has emerged as an education hub and an attractive business destination.
Bhubaneswar is not only known for its rich cultural heritage and ancient temples but is also making strides in the field of technology. In recent years, Bhubaneswar has emerged as a promising hub for innovation, and the future of data science in the city looks promising. With a growing emphasis on digital transformation, Bhubaneswar is witnessing an increasing demand for skilled professionals in data science.
The city is actively fostering an environment conducive to technological growth, with educational institutions offering specialized courses and training programs in data science. Bhubaneswar’s expanding IT infrastructure and the support of the local government are contributing factors to the rise of data science in the region. Businesses are recognizing the importance of data-driven decision-making, leading to a surge in job opportunities for data scientists, analysts, and specialists.
As Bhubaneswar continues to evolve as a technological hub, the future of data science in the city appears bright. The integration of data science into various industries is expected to bring about transformative changes, making Bhubaneswar a focal point for individuals and businesses looking to thrive in the dynamic landscape of data-driven innovation.
This article will talk about the Top 10 Data Science Courses in Bhubaneswar, why these courses are important, and the benefits of taking them in Bhubaneswar, India so let’s start
Comparison Chart: Top 10 Data Science Courses in Bhubaneswar with Placement.
If you are looking for the best and most reliable information regarding Data Science courses in Bhubaneswar, then you have come to the right place.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online & Offline | 2013 | INR 30k-90k | 100% |
| 2 | DV Analytics | Online & Offline | 2014 | INR 3,18000 | 100% |
| 3 | LTLT EDUTECH | Online & Offline | 2016 | INR 20,000 | 100% |
| 4 | Talentele | Online | 2019 | INR 55,000 | 100% |
| 5 | DataMites | Offline | 2018 | INR 67,178 | 100% |
| 6 | PYTHONSOFT | Online & Offline | 2015 | INR 40,000 | 100% |
| 7 | Rooman Technology | Offline | 2000 | INR 1,35,000 | 100% |
| 8 | Silan Technology | Offline | 2015 | INR 1,00,000 | 100% |
| 9 | AptusLearn | Offline | 2020 | INR 75,500 | 100% |
| 10 | Aptech Learning | Online & Offline | 1986 | INR 85,000 | 100% |
What is Data Science and its Importance?
Data science training is a multidisciplinary academic domain that leverages statistics, scientific computing, methods, processes, algorithms, and systems to extract or deduce knowledge and meaningful insights from diverse forms of data—be it noisy, structured, or unstructured.
The importance of data science training cannot be overstated. It helps businesses understand customer preferences, making shopping experiences more straightforward. It’s the reason our favorite apps seem to predict our needs. Beyond that, data science aids doctors in identifying patterns in health data, leading to improved treatments. Essentially, data science training is our digital ally, turning heaps of data into meaningful insights that enhance our lives in ways we might not even realize.
Top 10 Data Science Courses in Bhubaneswar
1. Digiperform
Digiperform stands out as India’s largest training provider, specializing in digital skills. Our comprehensive course curriculum is meticulously crafted by a team of over 50 experts hailing from the Data Science industry. We actively seek input and suggestions from 450 innovative businesses across Asia to ensure our courses stay ahead of industry trends.
Our curriculum is thoughtfully designed to encompass the skills required for roles in both small and large Data Science agencies, as well as companies with in-house Data Science teams. At Digiperform, we prioritize a hands-on learning approach, combining practical exercises, research, and assignments to provide you with a well-rounded and practical learning experience.
Why Choose Digiperform Online Data Science Course?
Opting for Digiperform’s Online Data Science Course is a wise decision for multiple reasons. Our learning experience is designed with user-friendliness in mind, crafted by industry experts to ensure a smooth understanding of intricate concepts.
The course is meticulously structured based on feedback from 450 businesses, assuring its relevance in the ever-changing digital landscape. We adopt a hands-on approach, blending practical work, research, and assignments to offer a comprehensive learning journey.
Whether you come from a scientific, business, or non-technical background, our course is customized for your success. Join us to unlock the realm of data science and embark on a gratifying learning adventure!
Data Science Online Course: Advantages
Embarking on an Online Data Science Course comes with numerous advantages. One key perk is flexibility, enabling you to learn at your own pace from any corner of the world. The curriculum, crafted by industry experts, ensures practical relevance, and the hands-on approach equips you with tangible skills for the real world.
Access to a wide array of resources and the opportunity to engage with a diverse online community enhance the overall learning experience. Regardless of whether you have a technical or non-technical background, this course opens doors to a realm of opportunities, making the intricate field of data science accessible and rewarding. Enhance your skills conveniently with the flexibility of online learning!
Data Science Course Syllabus
Module 1: Introduction to Data Science | Introduction to the Industry & Buzzwords Industrial application of data science Introduction to different Data Science Techniques Important Software & Tools Career paths & growth in data science |
Module 2: Introduction to Excel
| Introduction to Excel- Interface, Sorting & Filtering,
Excel Reporting- Basic & Conditional Formatting
Essential Excel Formulae
Layouts, Printing and Securing Files |
Module 3: Introduction to Stats
| Introduction to Statistics & It’s Applications Different types of Data Population vs Sample Sampling Techniques Intro: Inferential vs. descriptive statistics |
Module 4: Descriptive Stats Using Excel Datasets | Categorical Variables Visualization Using Excel Charts- FDT, Pie Charts, Bar Charts & Pareto Numerical Variables Visualization of Frequency & Absolute Frequency- Using Histogram, Cross Table & Scatter Plot Measure of Spread ( Mean, Mode , Median) Measure of Variance( Skewness, SD, Variance, Range, Coef. Of Variance, Bivariate Analysis, Covariance & Correlation) |
Module 5: Inferential Stats Using Excel Datasets | Introduction to Probability Permutation & Combinations Types of events Normal distribution Standard Normal distribution Normal vs. Standard Normal distribution Confidence Intervals & Z-Score Hypothesis Testing & It’s Types |
Module 6: Database Design & MySQL | Relational Database theory & Introduction to SQL MySQL Installation Database Creation in the MySQL Workbench Querying in MySQL Joins and Set Operations SQL Practice Case Study Window Functions Case Statements, Stored Routines and Cursors Ø Query Optimisation and Best Practices Ø Problem-Solving Using SQL |
Module 7: Data Visualization Using Advanced Excel
| Introduction LOOKUP functions Pivot Tables WHATIF Analysis Dashboard Creation Recording Macros Advanced Visualizations- PIVOT Charts, Sparklines, Waterfall Charts Data Analysis ToolPak – Regression in Excel |
Module 8: Data Visualization Using Tableau | Introduction to Tableau Introduction What is Data Analytics? Why Data Visualisation? What is Tableau? Why Tableau? Tableau vs Excel and PowerBI Exploratory and Explanatory Analysis Getting started with Tableau Visualizing and Analyzing data with Tableau – I Introduction Bar Charts Line Charts and Filters Area Charts Box plots and Pivoting Maps and Hierarchies Pie Charts Treemaps and Grouping Dashboards Visualizing and Analyzing Data with Tableau – II Introduction Joins and Splits Numeric and String functions Logical and Date functions Histograms and parameters Scatter Plots Dual Axis Charts Top N Parameters and Calculated Fields Stacked bar Charts Dashboards – II and Filter Actions Storytelling Summary |
Module 9: Python Programming
| Installing Anaconda & Basics of Python Introduction to programming languages Compiler vs Interpreter Getting Started With Python Introduction to jupyter Notebooks Identifiers, Keywords Print function Comment, Indentation Data Types Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions Data Structures in Python Introduction Lists Tuples Sets Dictionaries Practice Exercise Summary Operator Input and Output Different Arithmetic , logical and Relational operators Input, Output function Eval function Format Function Control Flow If elif else statement For and while loops Break , continue and Pass statement List and dictionary comprehensions Functions Understanding what are functions Defining and calling functions Local and global variables Different types of arguments Map,reduce,filter,lambda and recursive functions File Handling Purpose of file handling Different function in file handling (open,read, write,close) Different modes (r,w,a,r+,w+,a+) With block Exception Handling, OOPX & Regex What is exception handling Try, except, else and finally block Different types of Exception Concept of Oops Different functions in Regex Metacharacters in Regex |
Module 10: Python For Data Science | NumPy Introduction to NumPy Basics of NumPy Operations Over 1-D Arrays Practice Exercise I Multidimensional Arrays Creating NumPy Arrays Mathematical Operations on NumPy Mathematical Operations on NumPy II Computation Times in NumPy vs Python Lists Practice Exercise II Pandas Introduction to Pandas Basics of Pandas Pandas – Rows and Columns Describing Data Indexing and Slicing Operations on Dataframes Groupby and Aggregate Functions Merging DataFrames Pivot Tables Practice Exercise |
Module 11: Data Visualization Using Python- Matplotlib & Seaborn
| Introduction to Data Visualisation with Matplotlib Introduction to Matplotlib The Necessity of Data Visualisation Visualisations – Some Examples Facts and Dimensions Bar Graph Scatter Plot Line Graph and Histogram Subplots Choosing Plot Types Summary Data Visualisation: Case Study Introduction Case Study: Mind Map Case Study Overview Data Handling and Cleaning: I Data Handling and Cleaning: II Sanity Checks Outliers Analysis with Boxplots Histograms Summary Practice Questions Data Visualization with Seaborn Introduction Distribution Plots Styling Options Pie – Chart and Bar Chart Scatter Plots Pair Plots Revisiting Bar Graphs and Box Plots Heatmaps Line Charts Stacked Bar Charts Case Study Summary Plotly Practice Questions |
Module 12: Exploratory Data Analysis | Data Sourcing Module Introduction Introduction to EDA Public and Private Data Private Data Public Data Web Scraping-I Web Scraping-II Summary Data Cleaning Introduction Data Types Fixing the Rows and Columns Impute/Remove Missing Values Handling Outliers Standardising Values Fixing Invalid Values and Filter Data Practice Questions Summary Univariate Analysis Introduction to Univariate Analysis Categorical Unordered Univariate Analysis Categorical Ordered Univariate Analysis Statistics on Numerical Features Graded Questions Summary Bivariate and Multivariate Analysis Introduction Numeric – Numeric Analysis Correlation vs Causation Numerical – Categorical Analysis Categorical – Categorical Analysis Multivariate Analysis Graded Questions Summary Module Summary |
Module 13: Supervised Learning Model - Regression | Introduction to Simple Linear Regression Introduction to Simple Linear Regression Introduction to machine learning Regression line Best fit line Strength of simple linear regression Simple linear regression in python Assumptions of simple linear regression Reading and understanding the data Hypothesis testing in linear regression Building a linear model Residue analysis and predictions Linear Regression using SKLearn Multiple Linear Regression Motivation-when one variable is not enough Moving from SLR to MLR-new considerations Multi collinearity Dealing with categorical variables Model assessment in comparison Feature selection Multiple Linear Regression in Python Reading and understanding the data Data preparation Initial steps Building the model I & II Residue analysis and predictions Variable selection using RFE Industry Relevance of Linear Regression Linear regression revision Prediction versus projection Media company case study Exploratory data analysis Model building - I, II & III Assessing the model Interpreting the results |
Module 14: Supervised Learning Model - Classification | Univariate Logistic Regression Binary classification Sigmoid curve Finding the best fit sigmoid curve - I Finding the best fit sigmoid curve - II Odds and log Odds Multivariate Logistic Regression - Model Building Multivariate Logistic Regression - Model Building Data cleaning and preparation - I & II Building your first model Feature elimination using RFE Confusion metrics and accuracy Manual feature elimination Multivariate Logistic Regression - Model Evaluation Multivariate Logistic Regression - Model Evaluation Metrics beyond accuracy-sensitivity and specificity Sensitivity and specificity in Python Understanding ROC curve ROC curve in python Finding the optimal threshold Model evaluation metrics - exercise Precision and recall Making predictions Logistic Regression - Industry Applications - Part I Getting familiar with logistic regression Nuances of logistic regression-sample selection Nuances of logistic regression-segmentation Nuances of logistic impression-variable transformation-I, II & III Logistic Regression: Industry Applications - Part II Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time Logistic Regression - Industry Applications - Part II Commonly face challenges in implementation of logistic regression Model evaluation - A second look Model validation and importance of stability Tracking of model performance over time |
Module 15: Advanced Machine Learning | Unsupervised Learning: Clustering Introduction to Clustering K Means Clustering Executing K Means in Python Hierarchical Clustering Business Problem Solving Introduction to Business Problem Solving Case Study Demonstrationchurn example Practice Questions Tree Models Introduction to Decision Trees Algorithms for Decision Tree Construction Hyperparameter Tuning in Decision Trees Ensembles and Random Forests Time Series Forecasting - I (BA) Introduction to Time Series Smoothing Techniques Time Series Forecasting - II (BA) Introduction to AR Models Building AR Models Model Selection Principles of Model Selection Model Building and Evaluation |
Module 16: AI- NLP, Neural Networks & Deep Learning | Introduction to NLP What is NLP? History and evolution of NLP Applications of NLP Challenges in NLP Overview of NLP pipeline Corpus and Corpus Linguistics NLTK Toolkit Introduction to the NLTK toolkit Preprocessing text data with NLTK Basic NLP tasks using NLTK (e.g., Part-ofSpeech Tagging, Named Entity Recognition) Stemming and Lemmatization WordNet in NLTK Chunking and Chinking Sentiment Analysis with NLTK Tokenization and Topic Modeling Tokenization in NLP Bag-of-Words representation Topic Modeling with LDA Latent Semantic Analysis Word Embeddings Sentiment Analysis Project: Introduction to Sentiment Analysis Sentiment Analysis using supervised and unsupervised methods Building a Sentiment Analysis model with Python Evaluating Sentiment Analysis models AI vs Deep Learning vs ML Introduction to Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) Applications of AI, ML, and DL Differences between AI, ML and DL The Concept of Neural Networks Introduction to Neural Networks Types of Neural Networks Layers in Neural Networks Activation Functions Neural Networks - Feed-forward, Convolutional, Recurrent Feed-forward Neural Networks Convolutional Neural Networks Recurrent Neural Networks Applications of Neural Networks Deep Learning Project Building a Deep Learning model with Python Image Classification with Convolutional Neural Networks Natural Language Processing with Recurrent Neural Networks |
Data Science Projects and Assignments
Major Projects
Customer Lifetime Value Calculation: The project involves calculating the customer lifetime value using SQL to understand the revenue generated by a customer over their lifetime.
Customer Churn Prediction: This project involves building a predictive model using SQL to identify customers who are likely to churn based on their behavior and transaction history.
Interactive Dashboard for E-Commerce Sales: The project involves creating an interactive dashboard using Tableau & SQL to analyze retail sales data, identify trends, and make data-driven decisions.
Customer Segmentation Dashboard: This project involves creating a customer segmentation dashboard using Tableau to identify customer groups based on demographics, behavior, and purchasing patterns.
Movie Recommendation System: The project involves building a movie recommendation system using Python and its libraries such as Pandas, NumPy, and Scikit-Learn. The recommendation system will suggest movies based on user preferences and ratings.
Sentiment Analysis on Twitter Data: This project involves analyzing Twitter data using Python and its libraries such as NLTK and TextBlob to perform sentiment analysis and understand the overall sentiment of a particular topic.
Visualizing COVID-19 Data: The project involves visualizing COVID-19 data using Python and its libraries such as Matplotlib, Seaborn, and Plotly to understand the impact of the pandemic on different countries and regions.
Visualizing Stock Market Data: This project involves visualizing stock market data using Python and its libraries such as Pandas, Matplotlib, and Bokeh to understand the trends and patterns in stock prices over time.
Airbnb Data Analysis: The project involves performing exploratory data analysis on Airbnb data to understand the patterns in the pricing, availability, and quality of Airbnb listings in different cities.
Bike Sharing Data Analysis: This project involves performing exploratory data analysis on bike sharing data to understand the usage patterns of bikes in different cities and identify factors that influence bike usage.
House Price Prediction: The project involves building a regression model using Python and its libraries such as Scikit-Learn to predict the prices of houses based on their features such as location, size, and amenities.
Credit Risk Prediction: This project involves building a classification model using Python and its libraries such as Scikit-Learn to predict the credit risk of loan applicants based on their credit history and other factors.
Time Series Forecasting for Sales Data: The project involves building a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and identify factors that influence sales.
Sentiment Analysis on Product Reviews: The project involves building a sentiment analysis model using NLP techniques such as Word Embeddings and Recurrent Neural Networks (RNN) to analyze product reviews and understand the sentiment of customers towards different products.
Segmentation using Deep Learning: This project involves using advanced deep learning techniques such as Fully Convolutional Networks (FCN) and U-Net to perform image segmentation and identify objects in images.
Machine Translation using Transformers: This project involves building a machine translation model using advanced deep learning techniques such as Transformers to translate text from one language to another.
Case Studies & Assignments:
- Healthcare Customer Feedback Analysis
- Management Teams Dashboard Creation
- Retail Store Sales Report Analysis
- Software Firm Employee Data Analysis
- Industrial Data Sets Classification & Comparison
- Charts & Graphs: Frequency Distribution Table, Pie-charts, Pareto Diagram, Histogram, Scatter Plots, Heatmaps, Bar Graphs and many More.
- Patient Disease Probability Analysis Using Healthcare Data
- Car Model & Menu Item Data Combination & Configuration Probability Analysis
- Manufacturing & Product Launch Data Classification & Analysis
- Customer Complaint Resolution Analysis Using Normal Distribution Curves
- Product Rating & Employee Productivity Analysis Usign Z-Score
- New Product Need Analysis Using Hypothesis Testing
- Inventory Management & Customer Segmentation Systems Using Vlook up & Hlook Lookup
- Sales Trend & Staffing Plan Creation using Pivot Tables
- Pricing Strategy & Financial Model Creation Using What if Analysis
- Sales & Operations Dashboard Creation
- Healthcare & Construction Reporting Automation Using Macros
- Retail Sales Opportunity Analysis Using PIVOT Charts
- Accounting Firm Statement Analysis Using Sparklines & Waterfall Chart
- FMCG Marketing Spend to Sales Revenue Impact Analysis Using Regression Analysis
- Transportation Pricing Model Using Regression Analysis
Data Science Placements
100% * Placement Assistance Dedicated Placement Cell To Help You Land Your Dream Job
Data science course fees
Master Program in Data Science Fees: 30k-90k
Contact Information
Digiperform Corporate Office: C-30, Third Floor, Sector-2, Near Sec-15 Metro Station, Noida, Uttar Pradesh 201301, India
Email: contact@digiperform.com
Phone: +91-8527-611-500
Website: www.digiperform.com
2. DV Analytics
DV Analytics stands out as a premier firm in Data Science, Information Science, Analytics training, and consulting. Led by industry specialists, the company is recognized as one of the foremost Data Science training institutes in Bhubaneswar. Its expertise lies in equipping individuals with cutting-edge skills in Data Science and Information Science, providing a comprehensive learning and consulting experience. DV Analytics is committed to shaping professionals in the field, ensuring they are well-prepared for the dynamic landscape of analytics and data-driven decision-making, making it a preferred destination for those seeking excellence in data science education and services.
Course Curriculum:
- Skill-1: DBMS Programming and Reporting
- Skill – 2: Reporting and Visualization
- Skill – 3 Statistics and Advanced Analytics
- Skill – 4 Machine Learning and Artificial Intelligence
Course Highlights:
- Top -Notch Faculty
- Exhaustive course Curriculum
- Real-life Projects and Bootcamps
- Job Readiness
| Name | Master Program in Industrial Data Science (MPIDS) |
| Course Duration | 6 Months |
| Website | www.dvanalyticsmds.com |
| Address: | Acharya Vihar – Jaydev Vihar Rd, Bhoinagar Basti, Bhoi Nagar, Bhubaneswar, Odisha 751013 Mob: 082494 30414 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2014 |
| Fees | INR 3,18000 |
| Branches in India: | Bhubaneswar, Bangalore |
| Flagship Course Names: | Master Program in Applied Analytics(MPAA) |
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
3. LTLT EDUTECH Pvt. Ltd
LTLT Edutech Pvt. Ltd Centre of Excellence proudly introduces itself as a dynamic IT education, training, and software solutions company. Positioned among the notable Data Science training institutes in Bhubaneswar, they prioritize providing robust programming foundations through comprehensive conceptual knowledge.
Their students excel with a strong conceptual grasp, ensuring they become technology-independent. Conducted in state-of-the-art computer labs and classrooms, our educational programs feature highly qualified faculty, and authors of numerous respected publications. While they emphasize empowering students with IT knowledge, their ultimate goal is to foster technological independence. LTLT Training Center stands as another reputable institute for Data Science expertise in Bhubaneswar.
Course Curriculum:
- Introduction to Data Science
- Python with Data Science
- Matplotlib Module
- Scipy
- Scikit
- Machine Learning
- Data Science & Machine Learning
- understanding Machine Learning
- Theano
- Trensorflow
- Importance
- Artificial intelligence
| Name | Data Science & Machine Learning |
| Course Duration | 2 Months |
| Website | www.ltltedutech.com/ |
| Address: | plot no-1738, KHANDAGIRI, 5019, ITER MAIN GATE Rd, Jagmohan Nagar, Bhubaneswar, Odisha 751030 Mob: 090905 19502 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2016 |
| Fees | INR 20,000 |
| Branches in India: | Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
4. Talentele
They are a team of Industry experts in the Database/Analytics/Java/Software Testing domain who are committed to excellence and providing comprehensive training ensuring analytics/DB/ Application support course is affordable and accessible to everyone. They are passionate and committed to shaping students (Any Graduate even an Arts) careers from all aspects in terms of technical skills and communication/soft skills.
Course Curriculum:
- Introduction to Data Science
- Introduction To Data Analytics
- Microsoft SQL Server
- Microsoft Excel (Basic/Advanced)
- Introduction to VB Script
- Excel Macro (VBA)
- Microsoft Power BI
- Python for Data Analytics
- Deep Learning
- ML/AIOps and Big Data
- Business Analytics and Intelligence
- Python and Libraries
Course Highlights:
- LIVE mentoring & Doubt clarification sessions
- Internship Certificate
- 100% Job Assistance
- Interview preparation & Placement assistance
| Name | Data Science & Analytics Specialist |
| Course Duration | 6 Months |
| Website | www.talentele.in |
| Address: | Plot No- 3690, GEETARANI AGROVET, Prachi Vihar, Palasuni, Rasulgarh, Bhubaneswar, Odisha 751010 Mob: 072056 17787 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2019 |
| Fees | INR 55,000 |
| Branches in India: | Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online |
5. DataMites
DataMites stands out as a premier training provider, delivering affordable, top-notch, and real-time training programs across diverse analytics domains. They provide specialized courses in areas like Data Science, Machine Learning, Data Mining, Tableau Associate, Deep Learning, Text Mining, Python Programming, and Minitab. These courses are meticulously crafted and regularly updated by experienced professionals with a strong background in the industry, ensuring participants receive meaningful insights during their training sessions.
Course Curriculum:
- Data Science Foundation
- Python Essentials
- R Language Essentials
- Maths for Data Science
- Statistics for Data Science
- Data Preparation with Pandas
- Visualization with Python
- Machine Learning Associate
- Advanced Machine Learning
- SQL for Data Science
- Deep Learning – CNN Basics
- Tableau Associate
- ML Model Deploy – Flask API
- Big Data Foundation
- Data Science Project Execution
Course Highlights:
- IABAC® & DMC Certification
- 400 Learning Hours
- 64-Hour Classroom Sessions
- 25 Capstone & 1 Client Project
- Cloud Lab Access
- Internship + Job Assistance
| Name | Data Science & Data Analytics Courses |
| Course Duration | 6 Months |
| Website | www.datamites.com |
| Address: | 102, B-15, Arihant Plaza, Workloop Coworking and Office Space, Saheed Nagar, Bhubaneswar, Odisha 751007 Call: 1800 313 3434 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2018 |
| Fees | INR 67,178 |
| Branches in India: | Pune, Kolkata, Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
6. PYTHONSOFT
PYTHONSOFT is a leading software training institute in INDIA with an aim to provide quality training to the students. As a training institute, They try to provide strong programming skills to their students. They provide both conceptual and practical-oriented training from very basic to advanced level. They provide both online and offline classes.
Er Ranjan Ku Das the Founder, has been conducting various Career Oriented programs such as workshops, seminars, Professional Training programs, campus connect programs, etc. for the last 8 years in different places in Odisha and has the credit of having trained more than 30000 BTech, MCA, BCA students from across the country over the years. Nowadays coding is a must for every student irrespective of stream. Their main focus is to provide a user-friendly platform where everyone can learn and achieve their goals.
Course Curriculum:
- Chapter 1 Introduction
- Chapter 2 Basics of Python
- Chapter 3 Numpy
- Chapter 4 Data Analysis with Pandas
- Chapter 5 Data Visualization
- Chapter 6 Regression
- Chapter 7 Logistic Regression
- Chapter 8 Support vector Machine
- Chapter 9 Unsupervised Learning
- Chapter 10 Feature Engineering and Dimensional Reduction
- Chapter 11 Neural Network (Deep learning)
| Name | Data Science with Machine Learning |
| Course Duration | 100 Hrs. |
| Website | www.pythonsoft.org |
| Address: | Plot No MB-63, GGP Colony, Rasulgarh, Bhubaneswar, Odisha 751010 Mob: 070770 94328 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2015 |
| Fees | INR 40,000 |
| Branches in India: | Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
7. Rooman Technology
Rooman Technologies Pvt. Ltd, located in Chandrasekharpur, Bhubaneshwar, is a leading player in the category of Computer Training Institutes in the city. Renowned for being one of the best Data Science training institutes in Bhubaneswar, it boasts a team of excellent faculty.
Serving customers from both local neighborhoods and other parts of Bhubaneshwar, this established institution has firmly established itself in the industry. The company values dedicated individuals who contribute significantly to achieving its common vision and broader goals. With a commitment to expansion, Rooman Technologies aims to diversify its range of services and products, reaching an even.
Course Curriculum:
- Artificial Intelligence & Reinforcement Learning
- Advance AI
- Deep Learning
- ML/AIOps and Big Data
- Advance Machine Learning
- Machine Learning
- Business Analytics and Intelligence
- Python and Libraries
Course Highlights:
- Industry Relevant Curriculum
- LIVE mentoring and doubt clarification sessions
- 100+ Lab Assignments
- 25 hours of aptitude and logical reasoning
- Interview preparation and placement assistance
| Name | Data Science & Machine Learning |
| Course Duration | 5 Months |
| Website | www.rooman.com |
| Address: | 3rd Floor, 3rd Lane, Omkara Complex 83-District Center, Chandrasekharpur, Omkara Complex, Bhubaneswar, Odisha 751016 Mob:098615 02016, 08069102600 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2000 |
| Fees | INR 1,35,000 |
| Branches in India: | Bangalore, Bhubaneswar, Delhi, Gurgaon |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
8. Silan Software
Among the best Computer Training Institutes within the city, Silan Technology in Jaydev Vihar, Bhubaneswar offers exquisite personal care. It is one of the Data Science training institutes in Bhubaneswar with good training. The health facility is near Jaydev Vihar, an outstanding locality in the city.
Course Curriculum:
- Introduction to Python
- Python Collections
- Python Flow Control
- Python Functions
- Python OOPS
- Python for Data Science
- Statistics
Course Highlights:
- Hands-on coding and implementation of 4 web-based applications
- 30 hours of instructor-led training
- 20+ assisted practices on all modules
- 5 lesson-end knowledge checks and 1 real-life course-end project
| Name | Data Science Master’s Program |
| Course Duration | 180 Days |
| Website | www.silansoftware.com |
| Address: | 2nd Floor, Plot No 741, opposite of Bhagavati Temple, Jayadev Vihar, Bhubaneswar, Odisha 751013 Mob: 089842 89279 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 2015 |
| Fees | INR 1,00,000 |
| Branches in India: | Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
9. AptusLearn
AptusLearn is the brainchild of Big data and Advanced Analytics company, Aptus Data Labs (ADL). Founded with the credo Learn.Yearn.Upturn, the academy envisions helping working professionals and fresh graduates to be market-ready Data Scientists. ADL believes in disciplining the data to solve business problems.
Through several years of business domain expertise and consulting in Big Data Analytics, ADL understands what it takes to make industry-ready astute Data Scientists who can righteously tame the data to answer some of the burning questions of today’s businesses.
AptusLearn’s intense, yet simple-to-grasp, courses help aspiring Data specialists acquire proficiency in statistics, mathematics, database, machine learning, data mining, business intelligence, analytics, and applications expertise through the use of the latest tools and techniques.
Course Curriculum:
- Introduction To Data Science
- Python Concepts
- Analytics Concepts Of Python
- Numpy Package
- Introduction To Pandas
- Data Manipulation Using Pandas
- Pandas Package
- Data Munging With Pandas
- Data Visualization With Matplotlib
- Data Cleaning Techniques
- Predictive Modeling Concepts
- Machine Learning Concepts
- Statistics
- SQL
- Unsupervised Learning
- Supervised Learning
- principal component analysis
- Random Forest
- Support Vector Machine
- Tableau
- Case Studies
- Capstone Project
Course Highlights:
- Advanced Course Curriculum
- Case Studies
- Assignment & Assessment Test
- Capstone Project
- 100% Job assistant
| Name | Data Science and Advanced Analytics Courses |
| Course Duration | 6 Months |
| Website | www.aptuslearn.business.site |
| Address: | Idco Info Park, Unit 927, DLF Cyber City Technology Corridor, Chandaka Industrial Estate, Patia, Bhubaneswar, Odisha 751024. Mob: 096069 81953 |
| Avg. Google Rating: | 4 |
| Offering DS Training in Bhubaneswar Since: | 2020 |
| Fees | INR 75,500 |
| Branches in India: | Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Offline |
10. Aptech Learning
Aptech Learning is a trusted brand for IT training and networking courses. With its head office in Mumbai; They have trained more than 70 lakh students worldwide since 1986. They specialize in I.T. skill development and also provide active placement assistance to their students.
Course Curriculum:
Term 1 Financial data analysis with MS Excel
- Python Programming
- Emerging job areas-SMAC
- Large data management
- R programming
- eProject (R)
Term 2 Foundation of Big Data Systems
- Processing Big Data [Hadoop-MapReduce, Hive, PigLatin]
- Visual analytics with Tableau
- Web & social media analytics (Google Analytics & SAS)
- Project-Big Data
| Name | Smart Professional Data Science |
| Course Duration | 14 Months |
| Website | www.softwarehardwaretraining.com |
| Address: | 3rd Floor, NB Towers, Plot no. 426/2260, near Rajdhani Gas, Nilakantha Nagar, Nayapalli, Bhubaneswar, Odisha 751012 Mob:070080 03364 |
| Avg. Google Rating: | 5 |
| Offering DS Training in Bhubaneswar Since: | 1986 |
| Fees | INR 85,000 |
| Branches in India: | Bhubaneswar |
| Flagship Course Names: |
|
| Exclusive Data Science Institute: | Yes |
| Training Delivery Model | Online & Offline |
Who should learn Data Science in Bhubaneswar?
Anyone in Bhubaneswar curious about understanding and working with data should consider learning Data Science. Whether you’re a student, a professional exploring new horizons, or someone simply intrigued by the world of data, Data Science in Bhubaneswar welcomes diverse backgrounds.
It’s not just for tech enthusiasts; if you want to unlock insights from data, make informed decisions, or explore a dynamic career, Data Science is for you. With Bhubaneswar’s growing focus on technology, learning Data Science can open doors to exciting opportunities and contribute to the city’s technological advancements. Whether you’re starting your career journey or looking for a change, learning Data Science in Bhubaneswar is a pathway to discovering and contributing to the evolving landscape of data-driven possibilities.
Why should you study Data Science?
Studying Data Science is like gaining a superpower for understanding the world through information. It’s not just for computer whizzes; anyone curious about making sense of data can benefit. Imagine being able to predict trends, make smart decisions, and solve real-world problems using data – that’s the magic of Data Science! In today’s digital age, where information is everywhere, learning Data Science is like having a key to unlock doors of knowledge.
Plus, it opens up cool job opportunities in various fields, from healthcare to business. Whether you’re a student shaping your future or someone wanting to level up their skills, studying Data Science is a smart move that empowers you to navigate the data-driven world with confidence and creativity.
Career Scope in Data Science in Bhubaneswar
The career scope in Data Science in Bhubaneswar is promising and dynamic. With the city embracing technological advancements, the demand for skilled Data Science professionals is on the rise. Bhubaneswar offers a spectrum of opportunities across various industries, including IT, healthcare, finance, and more. As businesses recognize the power of data-driven decision-making, the need for individuals proficient in Data Science continues to grow.
Whether you’re a recent graduate or a professional seeking a career shift, Bhubaneswar provides a fertile ground for a rewarding journey in Data Science. The city’s evolving job market and focus on digital transformation make it an exciting hub for those looking to carve a niche in the world of data-driven innovation. Embarking on a career in Data Science in Bhubaneswar is not just a choice; it’s a pathway to becoming a crucial player in the city’s tech-driven future.
Mastering Data Science Tools
Discover the world of data science with Digiperform’s ‘Mastering Data Science Tools’ course. This program immerses you in Python, R programming, and advanced machine learning methods, empowering you to extract valuable insights from data. Gain practical expertise using essential industry tools, equipping yourself to address real-world data challenges. Expand your skill set and open doors to diverse career prospects in the dynamic field of data science through Digiperform’s comprehensive and practical curriculum.
Data Science Salaries for Freshers in Bhubaneswar
For freshers venturing into Data Science in Bhubaneswar, salaries are promising and reflective of the city’s growing tech landscape. While specific figures may vary, entry-level salaries for Data Science roles in Bhubaneswar generally offer competitive remuneration. The city’s increasing demand for data skills is translating into attractive compensation packages for those entering the field. Starting a career in Data Science in Bhubaneswar not only opens doors to a dynamic and evolving sector but also brings the potential for satisfying financial rewards, making it an appealing choice for those stepping into the realm of data-driven opportunities in the city.
Current Job Openings in Data Science in Bhubaneswar
Bhubaneswar currently presents an array of job opportunities in the field of Data Science, reflecting the city’s progressive stance in the technological arena. Companies in Bhubaneswar are actively seeking skilled Data Science professionals, showcasing the growing importance of data-driven meaningful insights in various industries. Job openings span diverse sectors, from IT and healthcare to finance, offering a spectrum of roles such as data analysts, machine learning engineers, and data scientists.
The surge in job opportunities underlines the city’s commitment to technological advancement and its recognition of the pivotal role played by data experts. For those in Bhubaneswar exploring career options, the current job landscape in Data Science provides a fertile ground for embarking on a fulfilling and impactful professional journey.
You can refer to these websites: Naukri.com, Linkedin.com, Indeed.com and many more.
FAQs: Data Science Course
Which tool is used for data science?
Some of the major Data Science Tools include; SAS, Apache Hadoop, Tableau, BigML, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI.
Is Data Science Tough?
Like any other field, with proper guidance Data Science can become an easy field to learn, and one can make a career in this field. However, since it is huge, it is easy for beginners to get lost and lose sight, making the learning experience difficult and frustrating.
Do I need strong programming skills to become a Data Scientist in Bhubaneswar?
Knowledge of Python, R, Excel, C++, Java, and SQL is always preferred. But you can always learn from the fundamentals and improve yourself.
How much should I pay for attending a data science course in Bhubaneswar?
Data science course fees will vary according to the level of training you are looking for. However, when we discuss the fee structure, whether you choose any training provider for your training for Data Science, it ranges Start from INR 25,000.
