Data Science Training in Hyderabad

Data is considered the highest valued asset today. It plays an integral role in the smooth operation of the entire globe as we speak. From Contact tracing for COVID 19 to the American elections, data is crucial to make informed decisions in all walks of life. But raw data that doesn't make sense is of no use. This is where Data Science steps in for help. Data Scientists take raw data and find crucial insights that help grow businesses to greater heights. What's even better is that Digital Nest Offers extensive Data Science training in Hyderabad, India. The Data Science Course has become the most in-demand course across the globe today. 

Data Science has specific deliverables and goals that come with it. These deliverables help in addressing the goals of solving the problem at hand. Some of them are, Prediction analysis based on the inputs given, Social media recommendations used on YouTube/Netflix, Segmentation for marketing, forecasts for sales and revenue, Optimization for risk management, etc. Data Science training in Hyderabad at Digital Nest offers you a robust curriculum that aims to equip our students with practical and analytical skills.

Metro Cities like Hyderabad, Bangalore, Mumbai, and Pune in India have become global IT hubs and house many MNCs that recruit data scientists for crucial business insights, run applications, to achieve sky rocking revenues, etc. Various applications like Facebook, Uber, Amazon Alexa, iPhone Siri, Mobile games, Google Search are running multiple data science applications. This has caused a huge demand and supply gap, where they hunt for data scientists is relentless, and the supply for which is the bare minimum.

Keeping in mind the huge demand and supply gap in data science, Digital Nest commenced Data Science Training Institute in Hyderabad, India. Moreover, data science is the most enthusiastic career of the century and was called the sexiest job. Taking up this course will boost your resume and make you industry-ready. The Data Science certification course at Digital Nest is tailored and curated to suit both non-technical/technical background students and put them at ease while learning. 

The Data Science course curriculum at the Digital Nest is very comprehensive, keeping industry, students, and professionals in mind. We have built a practical curriculum that has no match with other Data Science institute in Hyderabad.

Digital Nest has the best faculty who hail from IIT Madras, also work for TOP notch MNCs like Bank of America, Amazon & Franklin Templeton. We have researched and found the right faculty for the data science training courses in Madhapur and Panjagutta branches. With many deliverables involved in the Data Science initiative, the course is divided into several modules and requires faculties according to the relevant expertise. We hunt down and found the best academicians who are real-time industry experts in data science.

There is no match for the robust curriculum. Digital nest offers for a data science course, as mentioned above. The curriculum is designed by the faculty of data science, so the course structure is one of a kind, offering students the real-time application induced teaching-learning experience. The data science course structure is bifurcated into 6 modules: R-Programming, SQL, Machine LearningPython, and Power BI. 

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We also have a dedicated placement portal for the students who are seeking jobs in data science. The Placement coordinator has to provide job assistance; this will ensure every data science student gets placed.

Digital Nest offers this course at two primary locations in Hyderabad, a Data science course in Panjagutta, near Ameerpet, and the data science course in Madhapur, Near Hitech City, the silicon valley of Hyderabad. Not only from Hyderabad, but we also get students enrolling from Bangalore, Nagpur, Bhubaneshwar, Delhi, Mumbai, Pune & various other cities, India. We also conduct corporate training sessions across the globe. 

Digital Nest specializes in teaching Digital Marketing Course and has been awarded as the best institute for Digital marketing for 2017 and 2018.

Some of the data science stats from BusinessWorld is shown in the picture.

Data Science Course Highlights

We go beyond Data Science Training !!

  • Course is curated by real time industry experts of Data Science.
  • Trainers with 15+ years of experience in Data Science. 
  • 100% assured placement Assistance.
  • State of the art training center with centralized AC in each class. 
  • Dedicated placement team.
  • Real time application based teaching approach for data science.
  • Real time examples in data science training.
  • Assignments and handouts after every session.
  • Assessment tests after the end of each module.
  • Data Science Certificate after completion of the course.
  • Curated Lab facility for Data Science.
  • Trainer support after completion of  data science course.

Data Science Course Structure

Curriculum designed by subject matter experts in Data Science!

1Introduction to Data Science
  • What is Data Science?
  • Data Science Life Cycle
  • What is Machine Learning?
  • What is Business Analytics?
  • What is Artificial Intelligence?
  • Data Science vs Machine Learning vs AI
  • Types of Data
  • What is Big Data?
  • Software vs Data vs Cloud
  • Real time applications on Machine Learning
  • 2Statistics
  • Data Types
  • Statistical parameters, variance, standard deviation, range
  • Categorical and Quantitative Data
  • Descriptive Statistics
  • Statistical Inference
  • Sampling and Sampling Distributions
  • Correlation, Covariance and Causation
  • Central Limit Theorem
  • Confidence Interval
  • Hypothesis Testing and Error Types
  • t-test and types of t-test
  • Analysis of Variance (ANOVA)
  • Introduction to Probability
  • Probability Distributions
  • Bernoulli, Uniform, Binomial, Normal Distribution
  • Poisson and Exponential Distribution
  • Skew Normal Distribution
  • Z-Score
  • 3Exploratory Data Analysis(EDA) and Data Visualization
  • What is EDA and its Importance
  • Statistical approach (Data Collection, Descriptive statistics, Data Mining)
  • Importing the Data
  • Data Frames
  • Variables, Transformation
  • Standardization and Normalization
  • Validation and Interpretation
  • Distributions
  • Histograms, Outliers
  • Summarizing Distributions
  • Graphs
  • Bar Charts
  • Box-whisker plot
  • Scatter plot
  • Pie Charts
  • Bubble Charts
  • 4Introduction to R Programming
  • Why R and importance of R in Analytics
  • Installation of R and R-studio
  • Working Directories
  • Data Types
  • Operators
  • Loops-For and While
  • If-else statements, Nested statements
  • Objects, and Vectors
  • Strings
  • Arrays
  • Lists
  • Factors
  • Data Frames
  • Pipe Operator
  • Functions (Predefined and User defined) apply, l-apply, s-apply, m-apply, t-apply, v-apply Subset/filter, which, sample, match, sort, mutate, grep, summary,gsub, select, groupby, gather, separate, Posixct
  • Joins (Inner, Outer, Left, Right, Semi, Anti) in Data Frames.
  • Univariate Analysis
  • Dplyr, Lubridate, Tibble
  • 5Data manipulation using SQL
  • Introduction to SQL and Data bases
  • SQL developer installation
  • Data types
  • Data types and Operators
  • Create and Drop data base
  • DDL,DML, DCL ,TCL, Sorting commands and other keywords
  • Advanced SQL-Wild cards, Constraints, Joins, Unions, NULL, Alias, Truncate, Views, Sub queries
  • Exam
  • 6Introduction to Python Programming
  • What is Python?
  • Importance of Python in Data Science
  • Python Installation Guidelines (Anaconda Navigator)
    • Python Fundamentals
  • Keywords
  • Built-in functions
  • String Formatting
  • Indexing
  • Slicing
  • Sequences
  • Error handling in Python (try, catch, finally)
  • Ignoring Warnings
  • User-defined functions
  • Nested functions
  • Lambda, zip and map
  • Local and global variables
  • If-else statements, Nested statements
  • Loops, Nested Loops, For, While loop
  • Performance measurement of loops
  • Loop control statements
  • Continue, Break, Pass
  • Class, Constructor and methods
    • Python Data Structures
  • Lists, Lists Comprehensions
  • Sets
  • Tuple
  • Dictionary
  • Importance of each type
    • Data Handling with Python
  • Introduction to NumPy, Pandas
  • Arrays and Matrix
  • Importing and exporting datasets in Python
  • Creating Data Frames
  • Data Manipulations
  • Scikit-Learn libraries
  • Data Visualizations in Python
  • Matplotlib, Seaborn, and GGplot
  • Feature Engineering: Feature Selection and Extraction
  • Model Selection
  • Training, Testing and K-Fold cross validation
  • 7Introduction to Machine Learning
      Machine Learning
  • Types of Machine Learning
  • What is Supervised, Un-Supervised and Reinforcement
  • What are the types of each learning technique
  • Algorithms used in Machine Learning techniques
  • Difference between Data Science, Machine Learning and AI
    • Generalized Linear Models (GLM)
  • Introduction to generalized linear models
  • Understanding of Linear and Logistic Regression
  • Underfitting and Overfitting
  • Trade-off between Bias and Variance
  • Regularization techniques (Ridge, Lasso, Elastic-Net Regression)
  • Ordinary Least squares
  • Maximum Likelihood
  • Sigmoid Function
  • Cost Function
  • Gradient Descent
  • One-hot Encoding
  • Label Encoding
  • Model Evaluation metrics
  • Feature Engineering (Features Selection, Extraction)
  • R-Square, Adjusted R-Square, RSME
  • Confusion Matrix
  • Evaluation metrics (Precision, Recall, F-Score, Accuracy)
  • Sensitivity and Specificity
  • ROC-AUC curves
  • Assumptions of Linear Regression
  • Imbalanced Data
  • Sampling issues- Over sampling and Under sampling
  • SMOTE, ADASYN and Near Miss
    • Decision trees and Random Forests
  • Introduction of Decision Tree and its applications
  • Types of Decision Tree
  • Terminologies in Decision Tree
  • Pros and Cons of Decision Tree
  • CHAID analysis
  • Root nodes Identification
  • Gini Index, Entropy, Chi-Square, Reduction in Variance
  • Solution for overfitting in Decision Tree
  • Tree pruning
  • Hyperparameter tuning
  • Random Search and Grid Search for auto selection of parameters
  • What is Bagging?
  • Introduction to Random Forest and its applications
  • Importance of Random Forest
  • Significant feature selection using Random Forest classifier
    • Boosting Machines
  • Ensembling Techniques
  • Bagging vs Boosting
  • Gradient Boosting Algorithms
  • Gradient Descent in Boosting Algorithms
  • Gradient Boosting Machines, XGBoost, and AdaBoost
  • Regression and Classification boosting techniques
  • Stacking
  • Pros and Cons of boosting Machines
  • 1Clustering
  • Introduction to clustering
  • K-Means clustering
  • Elbow Method
  • Hierarchical clustering
  • Real time applications
    • Text Mining
  • Introduction to Text Analytics and Text Mining
  • Introduction to NLP
  • Real time applications
  • Extractingtext from files
  • Data cleaning
  • Introduction to NLTK library
  • Count Vectorizer
  • Understanding of Stopwords and regular expressions
  • Stemming and Lemmatization
  • Word Cloud
  • N-grams
  • Fuzzy String Matching
  • Levenshtein Algorithm
  • Jaro-Winkler Algorithm
  • Cosine Similarity
  • Named Entity Recognition (NER)
  • 2K-Nearest Neighbors (KNN)
  • What is KNN and why do we use it?
  • KNN-algorithm and regression
  • Curse of dimensionality and brief introduction to dimension reduction
  • Pros and cons of KNN
  • KNN-outlier treatment and anomaly detection
    • Naïve Bayes and SVM
  • What is Naïve Bayes
  • Bayes theorem, Conditional Probability
  • Real time applications
  • Pros and cons of Naïve Bayes
  • What is Support Vector Machines (SVM)
  • Training time complexity
  • SVM Classifier
  • Hyperplane, margin and Kernel
  • Hyperparameter tuning
  • Linear and Non-Linear SVM
    • Dimensionality Reduction
  • Introduction to Dimensionality Reduction and its importance
  • Principal Component Analysis (PCA)
  • Kernel PCA
  • Singular Value Decomposition (SVD)
  • Linear Discriminate Analysis (LDA)
  • T-Distributed Stochastic Neighbor Embedding (t-SNE)
  • Applications of Dimensionality Reduction
  • 3Time Series Forecasting
  • Introduction to forecasting
  • Data processing and indexing time
  • Time Series & Time Series forecasting
  • Understanding of Stats Models
  • Auto Regressive Integrated Moving Average (ARIMA) model
  • Components: Seasonality, Trend and Noise
  • Autocorrelation
  • Parameter Selection for ARIMA Time series
  • Forecasting and Smoothing methods
  • Forecasts Validation
  • Simple moving average
  • Exponentially weighted moving average
  • 4Deep Learning & Neural Networks
  • Introduction to Neural Networks
  • Understanding of ANN
  • Understanding of CNN
  • Understanding of RNN
  • Basic understanding of Feed Forward and Backward propagation
  • Gradient Descent in Neural Networks
  • Stochastic Gradient Descent in Neural Networks
  • Use case of ANN in Python
  • 5Data Visualization in PowerBI
  • Introduction to PowerBi
  • Importance of PowerBi
  • PowerBi Architecture
  • Installation of PowerBi Desktop version
  • Data Visualization
  • Slicers
  • PowerBi connection to multiple data sources
  • Bar plots, Pie-Charts and many other
  • Exporting table from the report
  • Publish Workspace
  • Data refresh
  • Scheduling refresh
  • Expose report to web applications
  • Basic and Advanced filtering
  • Data Analysis Expression (DAX) basics
  • 6Azure ML Studio
  • What is Azure cloud?
  • Importance of Machine Learning in Cloud.
  • What is Azure ML Studio?
  • What are the components of Azure ML Studio?
  • Experiment/Use case in Azure ML Studio.
  • Deploying the Trained model as a web service.
  • Consumption of Web services
  • 7Capstone Project
    Choose from wide range of projects.
  • Capstone project in Retail Industry
  • Capstone project in Healthcare Industry
  • Capstone project in Finance Industry
  • Capstone project in Insurance Industry
  • Capstone project in Education Industry
  • Capstone project in Ecommerce Industry
  • Data Science Training Schedule

    7AM to 9PM, 9 Batches, 2 Centers at your Flexible Timings with E-learning & Online options

    WeekdayWeekend
    7AM to 9am (IST) (Mon-Fri)
    11AM to 1PM (IST) (Mon-Fri)
    7PM to 9PM (IST) (Mon-Fri)

    *IST:: Indian Standard Time




    Location: Madhapur & Panjagutta
    10AM to 2PM (IST)
    Saturday & Sunday
    WeekendWeekday
    8am to 12pm (IST)
    12pm to 3pm (IST)
    3pm to 6pm (IST)
    6pm to 9pm (IST)
    10pm to 1pm (IST)
    Saturday & Sunday
    7am to 9am (IST) (Mon-Fri)
    5am to 7am(IST) (Mon-Fri)
    2pm to 4pm(IST)
    7pm to 9pm (IST) (Mon-Fri)
    *IST = Indian Standard Time

    How E-Learning Works?

    Our Data Science e-learning video by Digital Nest is recorded by the industry's best trainers in data science with excellent subject knowledge expertise and who have deemed the best trainers in the Data science industry. We have recorded videos of the trainer. These videos were recorded while taking the class. We kept in mind that student should feel the classroom environment while training. All the associates will be given access to our state-of-the-art Learning management method at Digital Nest Prime, where one can access end to end course videos at your vicinity & convenience sitting back at your home. All the videos are accessible from your desktop, mobile, tablet, Etc.We request you to take a trail session. If you are satisfied you can take up the course.

    For trail session and more information you can contact digital nest sales team on +91-8088998664or write us at

    We offer special Training for Companies we first understand the company requirement then our data science experts at digital nest will create customized curriculum that suits to the needs of the company.

    For Corporate training you can Reach our Sales Team at +91-8088998664 or you can also write to us at

    We conduct seminars, 1 day, 1 week Workshops on various data science Practices. We are also ready to offer free Guest Lecture On Data Science, where in we educate students on modules present in data science, its careers and scope.

    For B School Training you can Reach our Sales Team at +91-8088998664 or you can also write to us at

    Data Science Course Training

    Frequently Asked Questions (FAQs)

    We go beyond Training !!

    Who Can Opt for Data Science training?

    Any graduate or postgraduate who is passionate about making machines as humans using analytical and logical skills would be the right candidate for the Data Science training. B.tech/BE/BBA/MBA/MSc Comp/ Stats/Maths/BSC Comp/Maths/PGDM People who are working in software or decision-making environment can also opt for this data science course, like testing engineers, Developers, product managers, sales and branding managers, strategy managers.

    Who are the Data Science trainers?

    The trainers of the Data Science course are the industry's leading experts who have 15+ years of experience. They hail from multinational companies like Microsoft, Google, L&T, Cognizant, etc. The trainers here are the backbone of the Data Science training wing.

    Do you provide materials and assignments for Data Science training?

    Yes! We provide module-based material handouts of the data science course that is taught in the class. We also give practical assignments and assessment tests to monitor the student's progress during the course. 

    How are we different from other institutes?

    We are identified as the “Best Training Institute in Hyderabad.” by  Times of India in the category of  "times education icons."  We conduct Mock Interview Sessions and various types of data science training assignments to face real-time challenges in an effortless manner. We always strive hard to make every Data Science trainee Happy, happiness comes when you give first the best industry curriculum, second the best trainers, third the best hands-on training, 4th the best start of art training facility where students can think beyond the box.

    What packages does a Data Science training student get?

    As per the research that has been conducted by the Digital Nest team in Hyderabad and various cities across India and also as per our previous students who got placed in the data science department we would say that on average freshers would get between 3.2 L.P.A to 6 L.P.A and experienced data science people can get up to 20 Lakhs per annum.

    How is the demand for a Data Science course?

    There is a huge demand for Data science experts as more and more companies turn towards making decisions based on the data. As of the year 2020, every individual produces an average of 2.5 quintillion byte of data, when converted, it sums up to 2.5 billion gigabytes data produced every day by each person. To only think of it, one MNC might produce a million times more data each day. This un-used, raw data does no-one any benefit. This is exactly where data scientists come into the picture. A person, equipped with skills like data mining, data visualization, prediction analysis, artificial intelligence, etc. can turn the raw data into meaningful and useful information. This information is then used by the top-level executives to make informed business decisions. 

    What are the timings of the Data Science course?

    Weekends : 10 am to 2pm ( Saturday & Sunday ) | Weekdays 7am | 11 am | 7pm ( Mon- Fri )

    Do you provide placements for Data Science training?

    Yes! We provide Assured Placement Assistance for our Data Science Certification course. We have a dedicated Placement officer at Digital Nest, who's job is to make sure that students are getting placements alerts and we also invite companies to our academy to hire our Data Science trainees.

    Do you teach on Real-time Projects for Data Science training?

    Yes! We Do our faculty are experts who are working in MNC’s in data science So they get their Projects showcased in the class and we also give handouts and exercises so that Digital Nest students who got trained in Data Science are capable of solving the interview questions and also who can contribute the innovative concepts of the Data Science industry.

    What is the duration of the Data Science Course?

    Typically the duration of Data Science training would last for 4 months. We have designed a curriculum that is very comprehensive in Hyderabad. This data science training plan will offer you the main tools and ideas in the data scientist's toolbox & Students will be equipped with data science skills to become successful data science analysts and data scientists. Our data science course in Hyderabad aims to contribute insight into the part played by a Data Scientist and interpret Issues using R, Hadoop, and Machine Learning.

    How many hours each class consists?

    Weekend batches at Digital Nest in Hyderabad would last 4 hours with a series of breaks in between and weekdays class would last for 2 hrs.

    Where are we located?

    Digital Nest has one of the top state of the art training centers in the prime locations in Hyderabad at Panjagutta which is 1 km away from Ameerpet and also one at Hitech City in the Silicon Valley area of Hyderabad.

    Data Science Course Reviews

    (4.6/5 based on 288 reviews) | Read reviews

    Akhilesh Kumar

    Big Data Analyst

     
    Being a tech-savvy person, I always wanted to learn Big data and excel in the Data Science career. Data Science training in Digital Nest catalyzed my enthusiasm for learning and become data Scientists. They train you from basics in training with the necessary concepts. They also give training on how to face interviews along with placement assistance.

    Neha

    CBIT

    I am a 2017 pass out of B.tech. I took up many courses, but I could not get a job, then one of my friends suggested joining a data science course as there is a huge demand in the field. Then I came across Digital Nest in Hyderabad after a lot of research. This is the best Data Science institute in Hyderabad for learning Data Science Course. They have a power-packed curriculum that enabled them to learn through real-time practical examples and industry challenges. The trainers were extremely knowledgeable and gave insights into their real-time implementing challenges and experiences.  

    Soumya Ch

    Data Analyst
     
     
    The feeling I got after attending a Data Science training demo can’t be expressed in words. I’m now working as a regular Data Analyst, and the support Digital Nest & their data science training gave me impeccable, in-depth knowledge that made me grow in my career and excel. I would recommend anyone Digital Nest in Hyderabad who is looking out for Data Science Training in Hyderabad.

    Vidyutha 

    Data Analyst

    Though I come from non technical background, I never failed to ask doubts and participate in the assignments. The Digital Nest is a great platform, even for non technical students or slow learners like me. I feel so grateful for Digital Nest and specially their Data Science trainers for instilling so much confidence in me. I owe it all to Digital Nest for what I’m now. The practice, assignments and assessments tests are what really helped me grow. They have built a really good ambience, and house a really good team of counselors that help you through the whole journey. I would definitely recommend Digital Nest for any data science certification aspirant. 

    Manohar

    Data Scientist

    Digital Nest is a great place for learning the complete spectrum of data Science modules. Being a working professional, I found it hard to make time for learning a new skill. But thanks to Digital Nest, they had late evening classes that fit perfectly into my schedule. What really caught my eye was their course curriculum, it was perfect and in sync with what is expected out there from the industry. I basically wanted to take up this course to step up in my organization, so I cross checked the curriculum that digital nest offered with the my superiors. Even they were impressed and that really gave me the confidence to take up digital nest's data science certification course. You will definitely gain practical knowledge and the awesome thing is they provide the placement assistance also after the completion of the course, but I was aiming to step up in my company so I didn't apply for placements, but just informing for any future aspirants. Thank you digital Nest for a support you have provided. 

    Pravalika

    Testing Engineer
    Wipro

    I am a testing engineer. I came across an article in newspaper that data science and Data Science courses are in demand. Then I started searching in Google and I found Digital Nest. I was impressed by the demo session and I came to know various careers options. Then I thought of enrolling for this course and I am really satisfied and I would recommend as its one of the Best Data science training institute in Hyderabad

    Ishita

    Software Analyst
    Accenture

    Digital Nest is one of the best Data science institutes in Hyderabad. I kept searching many institutes, and then I found Digital Nest, I approached and attended data science training demo, and then I realized that this is one of the best training institutes that I should choose. That's where I began learning Data Science training at the Hitech city branch of Hyderabad. I must say that I'm very much satisfied with the trainers and curriculum. Thank you so much to the team. I recommend anyone who wishes to pursue their career as a Data Science expert then now. Your destination could be Digital Nest.

    Kshemendra

    Student
    IIT - Kharagpur

    I am happy to join the Data Science training at Digital Nest institute. I had opted for Data Science training at the Hitech city branch. I hail from Ameerpet, I searched many institutes in Ameerpet at Hyderabad, but this institute impressed me. Choosing Digital Nest Main reason is their trainers and curriculum; that's where I decided to travel from Ameerpet to Hitech city to pursue a Data Science course. But today I would say I made the right choice in choosing the right institute.
    Our Trainees Hail From !!

    Students from ceading Colleges in India & Working Professionals from MNC's

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    Let’s Start with A Free Demo Session. Call us on 8088998664