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Home / Data Science & Deep Learning / Data Scientist Course in Dilsukhnagar, Hyderabad
There is no doubt that the future in technology will be governed by Data Scientists who can process and analyze data to create enormous value for organizations by controlling big data into submission. Successful Data Scientists work on different sources of data and then organize data into relevant questions that help translate problems into solutions. There is a huge demand for Data Scientists who can formulate and implement a data-oriented solution in organizations drowning in big data. So, acquire real-time data science experience with projects designed by industry leaders with Data Scientist course from 360DigiTMG, Dilsukhnagar.
INR 85,000 55,000/-
(Excluding Taxes)
Master the skills in Machine Learning, Statistical Analysis, Regression Analysis, Data Mining, Forecasting, and Text Mining to discover links between statistics, linear algebra, and neural networks. Learn to transform data and build models and explore the various approaches for building recommendation systems. Accelerate your career with the Data Scientist course Certification and become a Data Scientist by gaining mastery in area-specific skills, techniques, and tools. Add more value to your portfolio and become a part of this data-driven environment where there is a surging demand for professionals in big data skills in numerous sectors like banking, agriculture, healthcare, education, marketing, and manufacturing. Enroll in our comprehensive Data Scientist course which is designed to meet the requirements of both working professionals and beginners who aspire to make a career in this exciting profession that is fast growing. Join the Data Scientist course in Dilsukhnagar and gain expertise in the skills vital to becoming a successful Data Scientist. Who is a Data Scientist? A Data Scientist is a professional who is primarily involved in cleansing and analyzing data to get results and present them to the management. They have unique critical thinking skills that help them to translate an enormous amount of data into valuable insights that facilitate in making informed business decisions that drive immense value to the organization.
The most vital job of a Data Scientist is to gather, explore and transform data accumulated from various resources, identify what is important and give feedback after model disposition. This course will equip the students with all the latest tools and techniques used by Data Scientists along with giving them a strong understanding of the fundamental concepts of Data Science. The students will learn about the advanced data structures, process the data collected, and work on their programming abilities. They will learn to build and assess data-based models and also display skills in data management where they will learn to integrate data from disparate sources and store it in relational databases. Using advanced statistical programming tools they will be able to design and implement their statistical analysis. Students will also explore the art of narrating and the skills to present their data using visualization tools. This Data Scientist course will equip students with the skills to design more complex algorithms using more complex data structures. So, come and learn from the best curriculum delivered by the best instructors who leave no stone unturned to make the sessions challenging and exciting. Think no more and join the Data Scientist course in Dilsukhnagar.
Block Your Time
184 hours
Classroom Sessions
150+ hours
Assignments
120 hours
2 Live Projects
Who Should Sign Up?
The modules in the Data Scientist course will take you through a smooth and supported introduction to the increasingly relevant tools and techniques of Data Science. The main purpose why organizations require data Scientists is to hold and maintain their positions in the market through data-driven solutions. The students will explore the key principles involved in text mining, machine learning, deep learning, visualization techniques, predictive analysis, and statistics. They will also be exposed to the key concepts of Deep Learning, Neural Networks, and Black Box techniques like SVM. Join the Data Scientist course in Dilsukhnagar, Hyderabad to demonstrate your valuable assets as a Data Scientist to your potential employers.
Learn about insights on how data is assisting organizations to make informed data-driven decisions. Data is treated as the new oil for all the industries and sectors which keep organizations ahead in the competition. Learn the application of Big Data Analytics in real-time, you will understand the need for analytics with a use case. Also, learn about the best project management methodology for Data Mining - CRISP-DM at a high level.
Data Science project management methodology, CRISP-DM will be explained in this module in finer detail. Learn about Data Collection, Data Cleansing, Data Preparation, Data Munging, Data Wrapping, etc. Learn about the preliminary steps taken to churn the data, known as exploratory data analysis. In this module, you also are introduced to statistical calculations which are used to derive information from data. We will begin to understand how to perform a descriptive analysis.
Learn about various statistical calculations used to capture business moments for enabling decision makers to make data driven decisions. You will learn about the distribution of the data and its shape using these calculations. Understand to intercept information by representing data by visuals. Also learn about Univariate analysis, Bivariate analysis and Multivariate analysis.
Data Visualization helps understand the patterns or anomalies in the data easily and learn about various graphical representations in this module. Understand the terms univariate and bivariate and the plots used to analyze in 2D dimensions. Understand how to derive conclusions on business problems using calculations performed on sample data. You will learn the concepts to deal with the variations that arise while analyzing different samples for the same population using the central limit theorem.
In this tutorial you will learn in detail about continuous probability distribution. Understand the properties of a continuous random variable and its distribution under normal conditions. To identify the properties of a continuous random variable, statisticians have defined a variable as a standard, learning the properties of the standard variable and its distribution. You will learn to check if a continuous random variable is following normal distribution using a normal Q-Q plot. Learn the science behind the estimation of value for a population using sample data.
Learn to frame business statements by making assumptions. Understand how to perform testing of these assumptions to make decisions for business problems. Learn about different types of Hypothesis testing and its statistics. You will learn the different conditions of the Hypothesis table, namely Null Hypothesis, Alternative hypothesis, Type I error and Type II error. The prerequisites for conducting a Hypothesis test, interpretation of the results will be discussed in this module.
Data Mining supervised learning is all about making predictions for an unknown dependent variable using mathematical equations explaining the relationship with independent variables. Revisit the school math with the equation of a straight line. Learn about the components of Linear Regression with the equation of the regression line. Get introduced to Linear Regression analysis with a use case for prediction of a continuous dependent variable. Understand about ordinary least squares technique.
In the continuation to Regression analysis study you will learn how to deal with multiple independent variables affecting the dependent variable. Learn about the conditions and assumptions to perform linear regression analysis and the workarounds used to follow the conditions. Understand the steps required to perform the evaluation of the model and to improvise the prediction accuracies. You will be introduced to concepts of variance and bias.
Learn about overfitting and underfitting conditions for prediction models developed. We need to strike the right balance between overfitting and underfitting, learn about regularization techniques L1 norm and L2 norm used to reduce these abnormal conditions. The regression techniques Lasso and Ridge techniques are discussed in this module .
You have learnt about predicting a continuous dependent variable. As part of this module, you will continue to learn Regression techniques applied to predict attribute Data. Learn about the principles of the logistic regression model, understand the sigmoid curve, the usage of cutoff value to interpret the probable outcome of the logistic regression model. Learn about the confusion matrix and its parameters to evaluate the outcome of the prediction model. Also, learn about maximum likelihood estimation.
Extension to logistic regression We have a multinomial regression technique used to predict a multiple categorical outcome. Understand the concept of multi logit equations, baseline and making classifications using probability outcomes. Learn about handling multiple categories in output variables including nominal as well as ordinal data.
As part of this module you learn further different regression techniques used for predicting discrete data. These regression techniques are used to analyze the numeric data known as count data. Based on the discrete probability distributions namely Poisson, negative binomial distribution the regression models try to fit the data to these distributions. Alternatively, when excessive zeros exist in the dependent variable, zero-inflated models are preferred, you will learn the types of zero-inflated models used to fit excessive zeros data.
Data mining unsupervised techniques are used as EDA techniques to derive insights from the business data. In this first module of unsupervised learning, get introduced to clustering algorithms. Learn about different approaches for data segregation to create homogeneous groups of data. Hierarchical clustering, K means clustering are most commonly used clustering algorithms. Understand the different mathematical approaches to perform data segregation. Also learn about variations in K-means clustering like K-medoids, K-mode techniques, learn to handle large data sets using CLARA technique.
Dimension Reduction (PCA) / Factor Analysis Description: Learn to handle high dimensional data. The performance will be hit when the data has a high number of dimensions and machine learning techniques training becomes very complex, as part of this module you will learn to apply data reduction techniques without any variable deletion. Learn the advantages of dimensional reduction techniques. Also, learn about yet another technique called Factor Analysis.
Learn to measure the relationship between entities. Bundle offers are defined based on this measure of dependency between products. Understand the metrics Support, Confidence and Lift used to define the rules with the help of Apriori algorithm. Learn pros and cons of each of the metrics used in Association rules.
Personalized recommendations made in e-commerce are based on all the previous transactions made. Learn the science of making these recommendations using measuring similarity between customers. The various methods applied for collaborative filtering, their pros and cons, SVD method used for recommendations of movies by Netflix will be discussed as part of this module.
Study of a network with quantifiable values is known as network analytics. The vertex and edge are the node and connection of a network, learn about the statistics used to calculate the value of each node in the network. You will also learn about the google page ranking algorithm as part of this module.
k Nearest Neighbor algorithm is distance based machine learning algorithm. Learn to classify the dependent variable using the appropriate k value. The k-NN classifier also known as lazy learner is a very popular algorithm and one of the easiest for application.
Decision Tree & Random forest are some of the most powerful classifier algorithms based on classification rules. In this tutorial, you will learn about deriving the rules for classifying the dependent variable by constructing the best tree using statistical measures to capture the information from each of the attributes. Random forest is an ensemble technique constructed using multiple Decision trees and the final outcome is drawn from the aggregating the results obtained from these combinations of trees.
Learn about improving reliability and accuracy of decision tree models using ensemble techniques. Bagging and Boosting are the go to techniques in ensemble techniques. The parallel and sequential approaches taken in Bagging and Boosting methods are discussed in this module.
The Boosting algorithms AdaBoost and Extreme Gradient Boosting are discussed as part of this continuation module You will also learn about stacking methods. Learn about these algorithms which are providing unprecedented accuracy and helping many aspiring data scientists win the first place in various competitions such as Kaggle, CrowdAnalytix, etc.
Learn to analyse the unstructured textual data to derive meaningful insights. Understand the language quirks to perform data cleansing, extract features using a bag of words and construct the key-value pair matrix called DTM. Learn to understand the sentiment of customers from their feedback to take appropriate actions. Advanced concepts of text mining will also be discussed which help to interpret the context of the raw text data. Topic models using LDA algorithm, emotion mining using lexicons are discussed as part of NLP module.
Revise Bayes theorem to develop a classification technique for Machine learning. In this tutorial you will learn about joint probability and its applications. Learn how to predict whether an incoming email is a spam or a ham email. Learn about Bayesian probability and the applications in solving complex business problems.
Perceptron algorithm is defined based on a biological brain model. You will talk about the parameters used in the perceptron algorithm which is the foundation of developing much complex neural network models for AI applications. Understand the application of perceptron algorithms to classify binary data in a linearly separable scenario.
Neural Network is a black box technique used for deep learning models. Learn the logic of training and weights calculations using various parameters and their tuning. Understand the activation function and integration functions used in developing a neural network.
Artificial Neural Network model used to solve the most complex data where the pattern cannot be defined using explainable models. Neural Networks are used to solve deep learning problems as well. Artificial Neural Network (ANN), Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) are the types of Neural Networks, you will understand the difference among these Networks and their applications in real-time. Learn about Gradient Descent Algorithm and its optimization techniques to reduce the error to better fit the data.
As part of this module learn about another Deep Learning algorithm SVM which is also a black box technique. SVM is about creating boundaries for classifying data in multidimensional spaces. These boundaries are called hyperplanes which may be linear or non-linear boundaries which segregate the categories to a maximum margin possible. Learn about kernel tricks application to convert the data into high dimensional spaces to classify the non-linear spaces into linearly separable data.
Kaplan Meier method and life tables are used to estimate the time before the event occurs. Survival analysis is about analyzing this duration or time before the event. Real-time applications of survival analysis in customer churn, medical sciences and other sectors is discussed as part of this module. Learn how survival analysis techniques can be used to understand the effect of the features on the event using Kaplan Meier survival plot.
Time series analysis is performed on the data which is collected with respect to time. The response variable is affected by time. Understand the time series components, Level, Trend, Seasonality, Noise and methods to identify them in a time series data. The different forecasting methods available to handle the estimation of the response variable based on the condition of whether the past is equal to the future or not will be introduced in this module. In this first module of forecasting, you will learn the application of Model-based forecasting techniques.
In this continuation module of forecasting learn about data-driven forecasting techniques. Learn about ARMA and ARIMA models which combine model-based and data-driven techniques. Understand the smoothing techniques and variations of these techniques. Get introduced to the concept of de-trending and deseasonalize the data to make it stationary. You will learn about seasonal index calculations which are used for reseasonalize the result obtained by smoothing models.
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Organizations today are waking up to the wonders of Data Science that have witnessed an accelerated growth trend over the past few years. To maintain business competitiveness, enterprises are depending more on the fast-growing big data they have with them to forecast, analyze, and respond proactively to market demands during this pandemic and forward. Among the trends we can expect more use of Artificial Intelligence from testing to operationalizing, increasing data and analytics infrastructures. Data will deliver extended business value given the fact that the Global data is going to increase to 176 zettabytes by 2025.
The complexity of the data collected and the need for data governance will lead to more scalable AI and ML solutions that will have a significant business impact. There is a clear signal in the growth in smart technology and devices with IoT technology that allows us to easily automate everyday tasks by using technologically enhanced devices to manage our home appliances like refrigerators, air conditioners, and televisions. We will also see a rise in Data Pipelines used for filtering data that will be ready for analytics purposes. With immersive content and real-world projects join the Data Scientist course from 360DigiTMG in Dilsukhnagar.
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Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Scientist Certificate is your passport to an accelerated career path.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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This is an excellent data scientist course for beginners. 360DigiTMG is the best institute for data scientist training in Dilsukhnagar. The course begins with an introduction to concepts in mathematics, statistics and data scientist. Students receive instruction in the world's most popular languages - Python and R.
You must have passed a Bachelor's degree in Mathematics, Statistics, Computer Science or Data scientist. A Bachelor's degree in any engineering discipline is welcome. If you meet these requirements then you are eligible to join this course.
In this blended program, you will be attending 184 hours of classroom sessions of 4 months. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 150 hours. Besides this, you will be working on a live project for a month.
The Data scientist using Python and R programming offered by 360DigiTMG is one of the best data scientist courses in Dilsukhnagar.
Yes. An individual can pursue a data scientist course from a reputed institute after graduation. The institute must offer live project exposure via an internship program and possess industry-specific course material.
On an average a data scientist earns Rs.6,20,244 per annum in India. A Senior Data Scientist can expect ? 11,47,826 (Source).
Yes. On submission of all assignments, you will receive a Course Completion Certificate. A sample of the certificate is available on our website for your reference.
Yes. We are proud to announce that we have received the TUV SUD rating of quality for our data scientist course.
Yes. Students can avail of our scholarship scheme titled " Jumpstart". 90% scholarship will be bestowed on deserving students.
The topics included in this course are
You will apprehend Python, R and R Studio in this course.
The course material can be downloaded from our online Learning Management System AISPRY.
Yes. We provide online tutorials in the course material. These can be accessed from our Learning Management System AISPRY.
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.
After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
After the student receives the course completion certificate, he has to enroll for an internship with INNODATATICS Ltd. He will be assigned a live project that he has to complete in a month's time.
We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
We provide end to end data scientist placement assistance after the internship is over. We help in resume preparation and conduct mock interviews. We also float your resume to several reliable placement consultants with whom we have a long association.
This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.
The skills of data collection, data cleaning, and processing are in demand and companies need Data Scientists to do this job for them. The various job profiles for a Data Scientist in Dilsukhnagar include Data Engineers, Data Analyst, etc.
On average, the salary of a data scientist is ?708,112. The starting salary of a Data Scientist is around ?500,000 per annum and as they gain skills and experience they can get anywhere from ?1,800,000 to ?1,900,000 a year in India!
Projects increase your chance of getting hired as a Data Scientist. Some of the projects that demonstrate your skills can include data cleansing, exploratory data analysis, data visualization, etc.
Open source tools help to store and process data. Explore the most popular open-source data scientist tools like Jupyter Notebooks, RStudio and also learn about their features.
The Data Scientist course in Dilsukhnagar is formulated to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Data Scientists reap endless rewards in various industries that need them to handle an epic amount of data stored with them. These industries include manufacturing, travel, finance, energy, gaming, pharmaceuticals, etc.
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
4.8
I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
360DigiTMG – Data Analytics, Data Science Course Training Hyderabad
2-56/2/19, 3rd floor, Vijaya towers, near Meridian school, Ayyappa Society Rd, Madhapur, Hyderabad, Telangana 500081
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