TOP 10 BEST DATA SCIENCE COURSES IN HYDERABAD
Are you in search of a top-notch Data Science Course in Hyderabad? If that’s the case, you’ve certainly landed on the right blog.
Hyderabad, the capital and largest city of Telangana, India, is a city of contrasts. It is a bustling metropolis with a rich history and culture. The city is known for its iconic landmarks, such as the Charminar, Golconda Fort, and Ramoji Film City, as well as its delicious food, including biryani, haleem, and kebabs.
Hyderabad is also a major center for IT, pharmaceuticals, and biotechnology. The city is home to many Fortune 500 companies and startups. It is also a growing educational hub, with several world-renowned universities and colleges.
Despite its rapid development, Hyderabad has retained its charm and heritage. The city is a melting pot of cultures, with people from all over India and the world calling it home. Hyderabadis are known for their warmth and hospitality, and the city is a great place to experience the best of Indian culture.
To support industry growth and startup success in Hyderabad, harnessing the power of data science is essential. By investing in data-driven strategies, companies can make informed decisions, identify market trends, and enhance efficiency. Startups can leverage data science to innovate, gain a competitive edge, and secure funding. Collaborating with local educational institutions for talent acquisition and training can further drive the growth of the data science ecosystem in Hyderabad.
| Institute Rank | Name | Training Delivery Type | Offering Course Since | Fees | Placement Assistance |
| 1 | Digiperform- Digital Career Academy | Online | 2013 | Rs.1,22,720 | 100%* |
| 2 | Learnbay | Online /Offline | 2015 | 1,25,000 + 18% GST | 100% |
| 3 | DataMites | Online /Offline | 2011 | 70,623- 110,000 | 100% |
| 4 | Innomatics Research Labs | Online | 2018 | 70,210 | 100% |
| 5 | DATAhill Solutions | Online /Offline | 2012 | 38000 | 100% |
| 6 | SipnaTech | Online /Offline | 2016 | 39000/- + 18% GST | NA |
| 7 | EXcellenC | Online /Offline | NA | 46,020 Including Tax | 100% |
| 8 | Imarticus Learning | Online /Offline | 2012 | 2,25,000 | 100% |
| 9 | Prime Classes |
Online /Offline | 2017 | 35,000 | 100% |
| 10 | Edvancer | Live Online Classes/ Self-Paced + Faculty Support |
2013 | Live Online: 29,990 + GST / Self-Paced: 22,990 + GST |
100% |
Data Science is a multidisciplinary field that utilizes scientific techniques, algorithms, processes, and systems to extract valuable insights and information from both structured and unstructured data. It encompasses a range of methods, such as data analysis, machine learning, data mining, and statistical modeling, to reveal hidden patterns, make informed decisions, and address complex issues. In the era of big data, Data Science has become increasingly essential for businesses and industries worldwide.
In Hyderabad, the training in Data Science plays a pivotal role in equipping individuals with the skills and knowledge needed to excel in this data-driven world. Data Science training in Hyderabad offers aspiring data scientists hands-on experience and a comprehensive grasp of data analysis, machine learning, and data visualization. By enrolling in these programs, students and professionals can harness the potential of data to foster innovation, enhance decision-making, and gain a competitive advantage in their careers.
1. Digiperform
Digiperform stands as a prominent educational institution in Hyderabad, catering to the aspirations of students eager to enhance their Data Science competencies. With a vast network of more than 40 centers across India, Digiperform has garnered a solid reputation for its top-notch training programs. These programs are characterized by robust curricula and a meticulously managed educational framework, ensuring that students receive comprehensive training to thrive in the ever-expanding domain of online marketing, which promises continued growth.
By introducing online Data Science courses, Digiperform has opened up new avenues for the residents of Hyderabad. This move provides an opportunity for individuals to upskill from the comfort of their homes, reflecting Digiperform’s commitment to offering flexible remote education. To cater to the unique requirements of Hyderabad’s students, a range of specialized courses has been thoughtfully designed. These courses are tailored to address the distinct needs of aspiring Data Science professionals, making their educational journey more accessible and seamless.
Why Choose Digiperform Online Data Science Course?
Choosing Digiperform’s Online Data Science Course offers a distinctive and highly valuable experience for aspiring data enthusiasts. Here are some compelling reasons why Digiperform stands out as the ideal choice for your Data Science education:
Industry Expert Trainers : Learning from the best is crucial in mastering Data Science. Our trainers are industry experts with an average of 8+ years of experience in top organizations. They bring real-world insights and expertise to the virtual classroom.
100% Placement Assistance : We understand that the ultimate goal of education is to secure a rewarding career. That’s why we offer dedicated placement assistance through our Placement Cell. We are committed to helping you land your dream job in the Data Science field.
60+ Projects : Learning by doing is at the core of our approach. Our course places a strong emphasis on practical experience, with over 60 hands-on projects. This 90% practical and 10% theory approach ensures that you gain the skills needed for real-world Data Science tasks.
Most Advanced Content : Our curriculum is designed in alignment with international standards, offering the most advanced content. You’ll have access to a wealth of resources, including PPTs, documents, PDFs, exercises, quizzes, and projects, all aimed at providing a comprehensive learning experience.
One-to-one Career Mentorship : We provide dedicated online support and weekly doubt-clearing sessions conducted by our experts. This one-to-one mentorship ensures that you receive guidance tailored to your career goals.
Learning Management System : With our LMS, you have 24×7 access to lectures and training content. This flexibility allows you to learn at your own pace and revisit materials whenever needed.
Simulation & Mock Interviews : We understand the importance of meeting industry hiring needs. Our course includes simulation and mock interviews to prepare you thoroughly for real job interviews in the Data Science field.
Interview Preparation : Data Science roles vary, and interview requirements can be diverse. We offer specialized training to equip you with the knowledge and skills needed for different Data Science positions, ensuring you’re well-prepared for any interview scenario.
Choosing Digiperform’s Online Data Science Course means you’re opting for quality, flexibility, and a curriculum designed to meet the specific needs of Hyderabad’s Data Science enthusiasts. Our dedication to empowering students with practical skills and industry-relevant knowledge sets us apart as a premier choice for your Data Science education.
Data Science Online Course: Advantages
Embarking on a Data Science Online Course with Digiperform presents a host of distinctive advantages that set our program apart. Here’s why choosing Digiperform for your Data Science education is a smart and relevant decision:
Industry-Centric Curriculum: Our online Data Science course is meticulously designed to align with the latest industry trends and requirements. You’ll learn the most up-to-date tools, techniques, and technologies relevant to the fast-evolving data science landscape.
Hands-On Learning: At Digiperform, we emphasize practical experience. Through hands-on projects and assignments, you’ll have the opportunity to apply your knowledge in real-world scenarios, ensuring that you’re not just theory-ready but job-ready.
Flexibility & Convenience: We understand the need for flexibility in today’s busy world. Our online courses offer the convenience of learning at your own pace, from anywhere, and at any time. This adaptability makes it easier for you to balance your studies with other commitments.
Personalized Support: We believe in personalized learning. Our courses are designed to cater to the specific needs and goals of individual students, ensuring a tailored educational experience.
Expert Faculty: Our online courses are taught by industry experts who bring their practical knowledge and insights into the virtual classroom. You’ll benefit from their wealth of experience and gain valuable industry perspectives.
Hyderabad Focus: Digiperform’s Data Science course takes into account the unique requirements of the Hyderabad market, providing you with skills directly relevant to local job opportunities. This regional focus sets our program apart.
Certification & Recognition: Completing our course not only equips you with knowledge but also with a certification recognized in the industry. This credential can significantly enhance your job prospects and career advancement.
Career Assistance: We provide robust career support, including job placement assistance and interview preparation. Our goal is to not just educate you but also help you secure a fulfilling career in the data science field.
In essence, Digiperform’s Data Science Online Course offers a one-of-a-kind learning experience that is flexible, personalized, and perfectly tailored to the needs of the Hyderabad market. With a focus on practical skills, industry relevance, and comprehensive support, our program equips you with the expertise you need to thrive in the world of data science.
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 Natural Language Processing with Recurrent Neural Networks |
Data Science Projects
Customer Lifetime Value Computation:
The task revolves around employing SQL for the calculation of a customer’s lifetime value. This helps in gauging the revenue a customer generates throughout their association with the business.
Predicting Customer Churn:
This initiative focuses on crafting a predictive model using SQL to pinpoint customers at risk of churning by analyzing their transaction history and behavior.
E-Commerce Sales Interactive Dashboard:
This project entails the development of an interactive dashboard, utilizing Tableau and SQL, to scrutinize retail sales data, identify trends, and make informed decisions.
Customer Segmentation Dashboard:
The goal is to construct a customer segmentation dashboard with Tableau, categorizing customers based on their demographics, behavior, and buying patterns.
Movie Recommendation System:
The task involves constructing a movie recommendation system with Python, leveraging libraries like Pandas, NumPy, and Scikit-Learn. The system suggests movies according to user preferences and ratings.
Twitter Sentiment Analysis:
This project delves into the analysis of Twitter data using Python, NLTK, and TextBlob to assess sentiment and comprehend the overall sentiment of specific topics.
Visualizing COVID-19 Data:
This endeavor encompasses the visualization of COVID-19 data using Python, incorporating libraries like Matplotlib, Seaborn, and Plotly to comprehend the pandemic’s impact on different regions and countries.
Visualizing Stock Market Data:
The project centers around visualizing stock market data through Python, drawing on libraries such as Pandas, Matplotlib, and Bokeh to discern stock price trends and patterns over time.
Airbnb Data Exploration:
This initiative engages in exploratory data analysis on Airbnb data to reveal insights into pricing, availability, and quality of Airbnb listings across diverse cities.
Bike Sharing Data Analysis:
This task conducts exploratory data analysis on bike sharing data to unveil patterns in bike usage across cities and identify influencing factors.
House Price Forecasting:
The project involves constructing a regression model with Python and Scikit-Learn to predict house prices based on characteristics like location, size, and amenities.
Credit Risk Assessment:
This task entails building a classification model using Python and Scikit-Learn to evaluate the credit risk of loan applicants, considering factors like credit history.
Sales Data Time Series Forecasting:
The initiative involves constructing a time series forecasting model using advanced machine learning algorithms such as ARIMA and LSTM to predict future sales trends and determinants.
Product Review Sentiment Analysis:
This project involves developing a sentiment analysis model using NLP techniques like Word Embeddings and Recurrent Neural Networks (RNN) to assess product reviews and customer sentiment.
Deep Learning-Based Segmentation:
This task employs advanced deep learning methods such as Fully Convolutional Networks (FCN) and U-Net for image segmentation, identifying objects in images.
Transformer-Based Machine Translation:
The project focuses on building a machine translation model using advanced deep learning techniques like Transformers to translate text from one language to another.
Data Science Placements
At Digiperform, we take pride in our commitment to your Data Science journey. We offer a comprehensive program that not only equips you with essential skills but also ensures your career success. With our 100%* placement assistance, you can confidently embark on your Data Science career, knowing that we’ll connect you with top industry opportunities. We have a strong network of hiring partners, and our dedicated placement team will guide you through the process, from resume building to interview preparation. Your success is our priority, and we are here to help you secure a rewarding position in the world of Data Science. Join us and step into a bright future.
Data science course fees
Course Fee: Rs. 1,22,720 for Digiperform’s comprehensive training.
Contact Information
– Address: C-30, Second Floor, Sector-2, near Noida, Sector 15, Noida, Uttar Pradesh 201301
Email: contact@digiperform.com
Phone: +91-8527-611-500
Website: www.digiperform.com
Learnbay was founded in 2015 by a team of industry experts with a vision to provide high-quality professional education to aspiring professionals. The institute offers a wide range of courses in data science, artificial intelligence, machine learning, cloud computing, and other in-demand technologies.
Learnbay has a strong focus on practical learning and provides students with hands-on experience through project work and internships. The institute also has a strong network of industry partners, which helps students place in top companies.
Course Curriculum
- Preparatory Session (L1)
- Python Programming (L2)
- Statistics and Machine Learning (L3)
- Big Data Analytics and Visualization (L4)
- Data Management and Deployment (L5)
- AI Generative Tools and Feature Trends (L6)
Course Highlights
- Placement Support
- Mock Interviews
- Resume BuildUp
- Unlimited Interview Calls
| Name | Learnbay |
| Course Duration | 6 Months |
| Website | https://www.learnbay.co/ |
| Address: | Level 3, Nsl Centrum Mall, Rd Number 1, opp. Forum Mall, KPHB 5th Phase, Kukatpally, Hyderabad, Telangana 500072 |
| Fees: | 1,25,000 + 18% GST |
| Avg. Google Rating: | 4.3 |
| Offering DM Training in Chennai Since: | 2015 |
| Branches in India: | 6 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
DataMites is a reputable educational institution located in Hyderabad, offering specialized training in Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, and Python programming. Our mission is to facilitate affordable, high-quality education, empowering individuals to excel in these domains. Our real-time training is of the utmost quality, catering to those eager to enhance their expertise in these areas. Datamites’ primary objective is to produce skilled professionals capable of confidently tackling the intricacies of the analytics field. Undoubtedly, a profound grasp of emerging technologies can yield numerous unexplored benefits.
Course Curriculum
- PYTHON FOUNDATION – 6 MODULES
- DATA SCIENCE FOUNDATION – 7 MODULES
- MACHINE LEARNING EXPERT – 12 MODULES
- ADVANCED DATA SCIENCE – 8 MODULES
- VERSION CONTROL WITH GIT – 6 MODULES
- BIG DATA FOUNDATION – 6 MODULES
- CERTIFIED BI ANALYST – 6 MODULES
- DATABASE: SQL AND MONGODB – 7 MODULES
- ARTIFICIAL INTELLIGENCE FOUNDATION – 6 MODULES
Course Highlights
- Industry-aligned curriculum
- Hands-on learning
- Expert instructors
- Flexible learning options
- Career support
| Name | DataMites |
| Course Duration | 8 months |
| Website | https://datamites.com/ |
| Address: | 313, 4th Floor, Ayyappa Society Main Rd, Ayyappa Society, Megha Hills, Mega Hills, Madhapur, Hyderabad, Telangana 500081 |
| Fees: | 70,623- 110,000 |
| Avg. Google Rating: | 4.8 |
| Offering DM Training in Chennai Since: | 2011 |
| Branches in India: | 4 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
Innomatics Research Labs is dedicated to “Empowering Careers and Enriching Lives” through its cutting-edge training programs in the digital realm. We offer expert instruction in IBM Certified Data Science, Machine Learning, Artificial Intelligence (AI), Full Stack Development, Amazon Web Services (AWS), DevOps, Microsoft Azure, Big Data Analytics, and Digital Marketing.
Our passion lies in bridging the divide between theoretical learning and practical application, ensuring that individuals are well-prepared for the industry and aiding organizations in reaping substantial rewards is our central objective.
Course Curriculum
- Module 1: Python Core and Advanced
- Module 2: Data Analysis in Python
- Module 3: Advanced Statistics
- Module 4. SQL for Data Science
- Module 5: Machine Learning Supervised Learning
- Module 6: Machine Learning Unsupervised Learning
- Module 7: Deep Learning
- Module 8: Computer Vision
- Module 9: Natural Language Processing (NLP)
- Module 10: Tableau for Data Science
| Name | Innomatics Research Labs |
| Course Duration | 4 Months |
| Website | https://www.innomatics.in/ |
| Address: | 205, Fortune Signature, beside JNTU Metro Station, Sardar Patel Nagar, IDPL Staff Cooperative Housing Society, Kukatpally Housing Board Colony, Kukatpally, Hyderabad, Telangana 500085 |
| Fees: | 70,210 |
| Avg. Google Rating: | 4.7 |
| Offering DM Training in Chennai Since: | 2018 |
| Branches in India: | 2 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online |
DATAhill Solutions stands out as the sole institution that integrates diverse delivery methods, encompassing classroom, online, and blended formats. These are seamlessly overseen through a cutting-edge learning management and governance system, ensuring a comprehensive and efficient learning experience.
Course Curriculum
- INTRODUCTION TO DATA SCIENCE
- INTRODUCTION TO MACHINE LEARNING
- PYTHON PROGRAMMING
- R PROGRAMMING
- Loading and Reading Data
- STATISTICS
- DATA VISUALIZATION
- LAZY LEARNING – CLASSIFICATION USING NEAREST NEIGHBORS
- PROBABILISTIC LEARNING – CLASSIFICATION USING NAÏVE BAYES
- DIVIDE AND CONQUER – CLASSIFICATION USING DECISION TREES AND RULES
- FORECASTING NUMERIC DATA – REGRESSION METHODS
- FINDING PATTERNS – MARKET BASKET ANALYSIS USING ASSOCIATION RULES
- FINDING GROUPS OF DATA – CLUSTERING WITH K-MEANS
- EVALUATING MODEL PERFORMANCE
- ARTIFICIAL INTELLIGENCE
Course Highlights
- Course Highlights
- Industry-aligned curriculum
- Expert faculty
- Hands-on training
- Placement assistance
- Globally recognized certifications
- Support after course completion
| Name | DATAhill Solutions |
| Course Duration | 3 months |
| Website | https://datahill.in/ |
| Address: | 12th floor, Manjeera Trinity Corporate, JNTU – Hitech City Road, Kukatpally Housing Board Colony, Kukatpally, Hyderabad, Telangana 500072 |
| Fees: | 38,000 |
| Avg. Google Rating: | 4.9 |
| Offering DM Training in Chennai Since: | 2012 |
| Branches in India: | 2 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
SipnaTech is a leading IT training institute that imparts comprehensive and practical training programs in various domains, including Data Science, DevOps, Cloud Computing, UI/UX Design, Salesforce, Testing, and Power BI. With a vision to bridge the gap between industry needs and individual skill sets, SipnaTech has successfully transformed the careers of countless aspiring tech professionals.
Course Curriculum
- Introduction to Data Science
- Python for Data Science
- Data Analysis and Visualization
- Statistical Modeling
- Machine Learning
- Deep Learning
- Big Data
- Data Science Project
Course Highlights
- Industry-aligned curriculum
- Small class sizes
- Job placement assistance
- Flexible scheduling
| Name | SipnaTech |
| Course Duration | 6-12 Months |
| Website | https://sipnatech.com/ |
| Address: | 60 C, 2nd Floor ,Western Hills Sri Chaitanya Junior Kalasala, Hyderabad, Telangana 500072 |
| Fees: | 39000/- + 18% GST |
| Avg. Google Rating: | 4.9 |
| Offering DM Training in Chennai Since: | 2016 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
EXcellenC is a training institute that empowers individuals to achieve excellence in their chosen fields. With a focus on world-class training at affordable prices, EXcellenC offers a wide range of courses in high-demand areas such as data analytics, digital marketing, programming, and cloud computing.
Their commitment to excellence is evident in their industry-recognized certifications, lifetime learning management system, real-time internship projects, and pathway to lucrative placements. EXcellenC is the trusted partner for over 100 colleges and corporate clients nationwide, and they are dedicated to guiding individuals on their journey to success.
Course Curriculum
- Introduction to Data Science
- Mathematical Foundations for Data Science
- Programming for Data Science
- Data Collection and Wrangling
- Exploratory Data Analysis (EDA)
- Machine Learning
- Deep Learning
- Big Data Analytics
- Data Visualization
- Data Ethics and Privacy
- Domain-Specific Applications of Data Science
- Capstone Project
| Name | EXcellenC |
| Course Duration | 9 Months |
| Website | https://excellenc.in/ |
| Address: | 3rd Floor, Gnana Towers, Rd Number 13, Kavuri Hills, Madhapur, Hyderabad, Telangana 500081 |
| Fees: | 46,020 Including Tax |
| Avg. Google Rating: | 5 |
| Offering DM Training in Chennai Since: | NA |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
Imarticus Learning is a leading provider of professional education and corporate training courses in India. With a focus on industry-relevant skills and career advancement, Imarticus offers a wide range of programs in finance, data science, analytics, digital marketing, and more.
The institute partners with top-tier institutions like IITs and IIMs to deliver high-quality programs that are aligned with industry standards. Imarticus Learning has a strong track record of success, with over 250,000 alumni across India. The institute is committed to providing students with the skills and knowledge they need to succeed in today’s competitive job market.
Course Curriculum
- Module 1: Introduction to Data Science
- Module 2: Programming for Data Science
- Module 3: Data Management and Manipulation
- Module 4: Machine Learning Fundamentals
- Module 5: Data Science Applications
- Module 6: Career Preparation
Course Highlights
- Industry-aligned curriculum
- Expert faculty
- Hands-on learning
- Career support
| Name | Imarticus Learning |
| Course Duration | 6 Months |
| Website | https://imarticus.org/hyderabad/ |
| Address: | 3rd Floor, Trendz dwarka Telecom Nagar, Landmark: Telecom Nagar Pushpak Bus Stop, Gachibowli, Hyderabad, Telangana 500032 |
| Fees: | 2,25,000 |
| Avg. Google Rating: | 4 |
| Offering DM Training in Chennai Since: | 2012 |
| Branches in India: | 16 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
Prime Classes is an education technology company that provides online and offline courses in various domains including Data Science, Artificial Intelligence, Machine Learning, Cyber Security, and Digital Marketing. The company was founded in 2017 by a team of experienced professionals who have a passion for teaching and technology.
Prime Classes offers a wide range of courses that are designed to help students develop the skills and knowledge they need to succeed in today’s competitive job market. The courses are taught by industry experts who have a deep understanding of the latest technologies and trends.
Course Curriculum
- Introduction to Probability and Statistics for Data Science
- Essential mathematical concepts
- Essential Engineering skills for Data Science
- Data Exploration, Data Visualizations and Data Story
- Introduction to Planning and Architecting Data Science Solutions
- Introduction to Machine Learning – Methods and Algorithms
- Text Mining and Natural language Processing
- DEEP LEARNING USING TENSORFLOW
Course Highlights
- World class curriculum
- Learn from practitioners
- Experiential learning
- Placement support
- Curated case studies
| Name | Prime Classes |
| Course Duration | 16 Weeks |
| Website | https://www.primeclasses.in/ |
| Address: | 2nd floor, Mallesh Yadav Building, 100 Feet Road, Mega Hills, Madhapur Hyderabad, Telangana-500081 |
| Fees: | 35,000 |
| Avg. Google Rating: | 5 |
| Offering DM Training in Chennai Since: | 2017 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model | Online /Offline |
Edvancer is a leading provider of data science, artificial intelligence (AI), and machine learning (ML) training in Hyderabad, India. They offer a comprehensive range of courses designed to equip individuals with the skills and knowledge needed to succeed in these rapidly growing fields. Edvancer’s courses are taught by industry experts and are tailored to meet the specific needs of employers. They also offer career assistance services to help graduates find jobs in their chosen field.
Course Curriculum
- Introduction to Analytics
- Fundamentals of R
- Basic Statistics in R
- Data Cleaning & Visualization in R
- Linear Regression in R
- Logistic Regression in R
- Segmentation for marketing analytics in R
- Time series forecasting in R
- Decision Trees in R
- Random Forest & XGBoost in R
- Solving an actual business problem through analytics
Course Highlights
- Job Ready
- Top Class Faculty
- Career Assistance
- Practical Content
| Name | Edvancer |
| Course Duration | 72 Hours Of Learning + 75 hours of assignments & projects |
| Website | https://edvancer.in/ |
| Address: | Edvancer, C/o 91 Springboard, Laxmi Cyber City, Opp. Sarath City Mall, Whitefields, Hyderabad, Telangana 500081. |
| Fees: |
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| Avg. Google Rating: | 4.8 |
| Offering DM Training in Chennai Since: | 2013 |
| Branches in India: | 1 |
| Flagship Course Names: | NA |
| Exclusive Data Science Training Institute: | No |
| Training Delivery Model |
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Who should learn Data Science in Hyderabad?
Data Science in Hyderabad is a dynamic field, and anyone with a passion for data analysis, problem-solving, and an interest in technology should consider learning it. Aspiring data scientists, IT professionals, analysts, and graduates seeking rewarding careers can benefit greatly. To excel, it’s vital to choose the best data science institute in Hyderabad for top-notch training. These institutes offer comprehensive courses that cover data analysis, machine learning, and data visualization, making them ideal for those eager to thrive in the data-driven world. By acquiring these skills from the best data science institute in Hyderabad, individuals can open doors to numerous opportunities and stay ahead in today’s competitive job market.
Why should you study Data Science?
Graduation Degree is Not Enough:
Merely possessing a graduation degree no longer suffices in the current landscape. With outdated curricula and a vast pool of graduates, students must equip themselves with specific, hands-on skills to distinguish themselves in the competitive arena.
Data Science Roles in High Demand:
Data Science stands as a domain with a soaring demand for professionals. Experts predict that India will generate over 11 million job opportunities in this field within the next five years, with the potential for a staggering 200% increase by 2026.
Embark on a Rewarding Career:
This presents a compelling opportunity for individuals to embark on a highly rewarding career. Freshers entering the realm of data science and analytics can anticipate average salaries ranging from 9 to 12 lakhs per annum. Furthermore, these roles exhibit impressive year-on-year growth prospects, promising a prosperous professional journey.
Career Scope in Data Science in Pune
Data science is a rapidly growing field with a high demand for skilled professionals. The career scope for data science is vast and promising, particularly in developing countries like India. Here’s a detailed overview of the career scope for data science in India:
High Demand for Data Scientists: The demand for data scientists in India is outpacing the supply, as organizations across various industries are increasingly recognizing the value of data-driven decision-making. According to a report by the India Skills Report 2023, data scientists are among the top five most in-demand professionals in India.
Diverse Applications of Data Science: Data science has a wide range of applications across various industries, including finance, healthcare, e-commerce, manufacturing, and retail. This diversity creates ample opportunities for data scientists to specialize in different domains and work on challenging projects.
Lucrative Salaries: Data scientists are among the highest-paid professionals in India, with average salaries ranging from 7 to 15 lakhs per annum. The salaries for experienced data scientists can be even higher, reaching up to 20 lakhs or more.
Growth Potential: The field of data science is constantly evolving, with new technologies and methodologies emerging regularly. This means that data scientists have the opportunity to continuously learn and grow their skills, making them valuable assets for organizations.
Job Opportunities in Government: The Indian government is also recognizing the importance of data science and is actively investing in initiatives to promote the field. This is creating job opportunities for data scientists in government departments and agencies.
Here are some specific career paths in data science that are in high demand in India:
Data Scientist: Data scientists are responsible for collecting, cleaning, analyzing, and interpreting data to extract meaningful insights. They use their skills in statistics, programming, and machine learning to develop predictive models and make data-driven recommendations.
Data Analyst: Data analysts focus on collecting, organizing, and summarizing data to help businesses understand their operations and make informed decisions. They use their analytical skills to identify trends, patterns, and anomalies in data.
Machine Learning Engineer: Machine learning engineers are responsible for designing, developing, and deploying machine learning algorithms. They have a strong understanding of computer science, mathematics, and statistics, and they are skilled in programming languages like Python and R.
Big Data Engineer: Big data engineers are responsible for designing, building, and maintaining big data infrastructure. They have a deep understanding of data warehousing, distributed systems, and cloud computing technologies.
Data Architect: Data architects are responsible for designing and overseeing the overall data architecture of an organization. They ensure that data is organized, managed, and accessible in a way that supports the organization’s business goals.
Mastering Data Science Tools
“Explore the realm of data science through Digiperform’s ‘Mastering Data Science Tools’ program. Delve into Python, R programming, and advanced machine learning algorithms to effectively analyze data and derive valuable conclusions. Acquire practical knowledge using tools relevant to the industry, preparing yourself to solve genuine data-related issues. Enhance your proficiency in data science and boost your career opportunities with Digiperform’s comprehensive and hands-on course.”
Data Science Salaries for Freshers in Hyderabad
Data science is a rapidly growing field with a high demand for skilled professionals. As a result, salaries for data scientists are quite high, even for freshers. In Hyderabad, the average annual salary for a data science fresher is between ₹3.5 Lakhs to ₹6 Lakhs. This can vary depending on the company, the candidate’s skills and experience, and the specific role.
Here is a table showing the average salary range for data science freshers in Hyderabad based on experience:
| Experience Level | Average Annual Salary |
| Fresher | ₹4.5 lakhs to ₹7 lakhs |
| 1-2 years of experience | ₹6 lakhs to ₹9 lakhs |
| 3-5 years of experience | ₹9 lakhs to ₹12 lakhs |
| 5+ years of experience | ₹12 lakhs to ₹20 lakhs |
In addition to salary, data science freshers can also expect to receive a variety of benefits, such as health insurance, paid time off, and travel reimbursement.
Factors Affecting Data Science Salaries for Freshers in Hyderabad
There are a number of factors that can affect the salary of a data science fresher in Hyderabad. These include:
Company: The size and reputation of the company can have a significant impact on salary. Larger and more well-known companies typically pay higher salaries than smaller and less well-known companies.
Skills and experience: Freshers with strong skills and experience, such as a background in programming, mathematics, or statistics, can expect to command higher salaries.
Specific role: The specific role that a fresher is hired for can also affect their salary. For example, freshers who are hired for data engineering roles typically earn more than freshers who are hired for data analyst roles.
Tips for Negotiating a Higher Salary as a Data Science Fresher in Hyderabad
There are a few things that data science freshers can do to increase their chances of negotiating a higher salary:
Do your research: Before you interview for a data science job, it is important to research the company and the role so that you know what the typical salary range is.
Be prepared to discuss your skills and experience: Be prepared to discuss your skills and experience in detail during your interview. Be sure to highlight your most relevant skills and experiences.
Be confident: Confidence is key when negotiating a salary. Be confident in your skills and your ability to do the job.
Current Job Opening In Data Science in Hyderabad
Once you’ve honed your essential skills and tailored your resume to fit the job market in Hyderabad, it’s time to embark on your journey to find a data science position. Here are two strategic approaches you can consider:
Job Search: If you’re eager to start working quickly, kick off your search for data science jobs in Hyderabad by utilizing reputable job platforms such as LinkedIn Jobs, Naukri.com, and Indeed.com. Ensure that your resume and cover letter are tailored to emphasize the skills and experiences that align with the specific positions you’re targeting.
Explore Internships: If you’re keen on gaining practical experience, look for internship opportunities in Hyderabad on platforms like Internshala. Internships provide a valuable chance to learn from seasoned professionals and apply your skills in real-world settings.
You can also combine these two approaches by simultaneously seeking both job positions and internships. This dual strategy can enhance your prospects in Hyderabad’s competitive data science landscape.
Here are some additional tips to jumpstart your data science career in Hyderabad:
Network with fellow professionals in the field: Attend industry events, connect with professionals on LinkedIn, and engage in online communities. Networking is a valuable way to discover new opportunities and establish relationships with potential employers.
Create a comprehensive portfolio to showcase your work: Your portfolio should include personal projects, freelance work, or internship experiences. A well-organized portfolio will effectively demonstrate your skills and practical expertise to potential employers.
Stay updated on the latest data science trends: Given the ever-evolving nature of the field, it’s crucial to stay informed about the most recent trends and technologies. You can achieve this by reading industry blogs, participating in webinars, and enrolling in online courses.
With dedication and perseverance, you can successfully launch a rewarding data science career in Hyderabad.
FAQs: Data Science Course
What roles are available to Certified Data Science Professionals in Hyderabad?
Certified Data Science Professionals in Hyderabad can pursue roles such as Data Analysts, Machine Learning Engineers, Data Scientists, Business Analysts, and AI Developers in various industries like IT, healthcare, finance, and e-commerce.
What is the income of a Data Scientist in Hyderabad?
The average income of a Data Scientist in Hyderabad, as per Digiperform, typically ranges from Rs 5 to 25 LPA, depending on experience, skills, and the employing organization.
How can I enroll in the Data Science Certification Course offered in Hyderabad?
To enroll in the Data Science Certification Course in Hyderabad with Digiperform, you can visit our website- Digiperform.com , fill out the registration form, choose your preferred batch, and make the required payment. You'll receive further instructions and details once registered.
Who offers certification for the Data Science Course in Hyderabad and how long is it valid?
Digiperform offers certification for the Data Science Course in Hyderabad. The validity of the certification is typically for a lifetime, signifying your expertise and skills in the field of data science.
What educational requirements are needed to join the Data Science course in Hyderabad with job placement assurance?
Digiperform's Data Science course in Hyderabad welcomes a diverse range of participants, including IT professionals, business professionals, statisticians, mathematicians, graduates, post-graduates, and career changers. With abundant global job opportunities, becoming a data scientist is a sought-after career path.
Who is eligible to participate in this Data Science Training?
Anyone, regardless of their educational background, is eligible to join the Data Science training in Hyderabad with Digiperform. The only prerequisite is a passion for learning. Enthusiastic individuals from various educational levels are welcome to participate in this comprehensive training program.
Is there a connection between Data Science and coding?
Yes, there is a strong connection between Data Science and coding. Proficiency in programming languages like Python, R, and SQL is essential for data manipulation, analysis, and building machine learning models in Data Science.
Will practice tests be included as a component of this course?
Certainly! Digiperform's Data Science course includes practice tests as an integral part of the curriculum, providing participants with valuable hands-on experience and assessment opportunities.
How can I find the best data science course in Hyderabad with placements?
To find the best data science course in Hyderabad with placements, you should consider several factors. Look for institutes with a strong track record of successful placements. Check the course curriculum for its relevance and industry alignment. Read reviews and testimonials from previous students to gauge their experiences. Additionally, consider factors like faculty expertise and post-course support for job placement. Digiperform is one such institute that offers comprehensive data science training with a focus on real-world applications and job placement assistance, making it a strong contender in your search for the best data science course in Hyderabad.
Can you recommend top data science institutes in Hyderabad?
Certainly, Digiperform is one of the top data science institutes in Hyderabad. With a strong reputation for providing high-quality training and a track record of successful graduates, we offer comprehensive data science courses that equip students with the skills and knowledge needed in today's competitive job market. Our experienced instructors, hands-on projects, and job placement support make us a preferred choice for those looking to kickstart their data science careers in Hyderabad.
What is the fee structure for a data science course in Hyderabad?
At Digiperform, we understand the importance of offering accessible and cost-effective data science courses in Hyderabad. Our fee structure is designed to cater to a wide range of learners. The exact fees may vary based on the specific program and its duration, but we take pride in providing competitive rates without compromising on the quality of education. Additionally, we offer flexible payment options and installment plans to make the course financially manageable for our students. Rest assured, our aim is to ensure that you receive high-quality data science training that aligns with your budget and career aspirations.
Is there a demo class or trial period before enrolling in the course?
Yes, at Digiperform, we offer a demo class or trial period before enrolling in our data science course. We understand the importance of making an informed decision, and this trial class allows you to experience our teaching style, interact with the instructors, and get a feel for the course content. It's a great opportunity to ensure that our course aligns with your learning goals and preferences before committing to the program. We believe in transparency and helping you make the right choice for your data science education.
How do Data Scientists adeptly tackle industry-specific challenges in healthcare, finance, and technology, showcasing their problem-solving prowess across diverse sectors?
Data Scientists excel in addressing industry-specific challenges by applying advanced analytics and machine learning. In healthcare, they enhance diagnostics; in finance, they optimize risk management; and in technology, they refine algorithms. Their versatile problem-solving skills make a significant impact across diverse sectors, contributing to improved decision-making and efficiency.
