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Data Science Course in Hyderabad (85 Courses, 67+ Projects)
85 Online Courses
67 Hands-on Projects
660+ Hours
Verifiable Certificate of Completion
Lifetime Access
BESTSELLER
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Python Data Scientist Courses (18 Courses)
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Python Data Scientist Projects (6 Projects)
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R Programming Data Scientist Courses (12 Courses)
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R Programming Data Scientist Projects (11 Projects)
5
SAS Data Scientist Courses (9 Courses)
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* One Time Payment & Get Lifetime Access
What you get in this Data Science Course in Hyderabad?
Online Classes
Technical Support
Mobile App Access
Case Studies
About Data Science Course in Hyderabad
| Course | No. of Hours | |
|---|---|---|
| Machine Learning with Python 2022 | 5h 15m | |
| Project on Machine Learning - Covid19 Mask Detector | 2h 05m | |
| Machine Learning Project - Auto Image Captioning for Social Media | 2h 23m | |
| Machine Learning with SciKit-Learn in Python | 8h 37m | |
| Machine Learning Python Case Study - Predictive Modeling | 8h 27m | |
| Matplotlib for Python Developers - Beginners | 4h 12m | |
| Matplotlib for Python Developers - Intermediate | 2h 52m | |
| Matplotlib for Python Developers - Advanced | 6h 37m | |
| Pandas with Python Tutorial | 5h 47m | |
| NumPy and Pandas Python | 5h 01m | |
| Pandas Python Case Study - Data Management for Retail Dataset | 3h 28m | |
| Python Case Study - Sentiment Analysis | 1h 06m | |
| Data Science with Python | 4h 14m | |
| Artificial Intelligence with Python - Beginner Level | 2h 49m | |
| Artificial Intelligence with Python - Intermediate Level | 4h 36m | |
| AI Artificial Intelligence with Python | 6h 15m | |
| Video Analytics using OpenCV and Python Shells | 2h 13m | |
| Machine Learning using Python | 3h 26m | |
| Statistics Essentials with Python | 3h 23m | |
| Project on Tensorflow - Implementing Linear Model with Python | 1h 46m | |
| Project - Data Analytics with Data Exploration Case Study | 5h 7m | |
| Project on ML - Random Forest Algorithm | 1h 29m | |
| Seaborn Python - Beginners | 2h 28m | |
| Seaborn Python - Intermediate | 1h 18m | |
| Seaborn Python - Advanced | 1h 56m | |
| PySpark Python - Beginners | 2h 3m | |
| PySpark Python - Intermediate | 2h 05m | |
| PySpark Python - Advanced | 1h 14m | |
| Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | |
| R Studio UI and R Script Basics | 4h 9m | |
| R Programming for Data Science | A Complete Courses to Learn | 5h 7m | |
| R Practical - Logistic Regression with R | 4h 18m | |
| Project - Decision Tree Modeling using R | 1h 44m | |
| Project on ML - Churn Prediction Model using R Studio | 1h 22m | |
| Financial Analytics in R - Beginners | 3h 5m | |
| Financial Analytics in R - Intermediate | 1h 28m | |
| Financial Analytics in R - Advanced | 1h 35m | |
| R for Finance - Beginners to Beyond | 2h 17m | |
| Comprehensive Course on R | 3h 54m | |
| Project on R - Forecasting using R | 4h 34m | |
| Project - Fraud Analytics using R & Microsoft Excel | 2h 34m | |
| Project - Marketing Analytics using R and Microsoft Excel | 2h 9m | |
| Machine Learning with R | 20h 28m | |
| Case Study - Customer Analytics using Tableau and R | 2h 7m | |
| Case Study - Pricing Analytics using Tableau and R | 2h 39m | |
| Business Analytics using R - Hands-on! | 16h 21m | |
| Project - Market Basket Analysis in R | 37m | |
| Project - Hypothesis Testing using R | 3h 6m | |
| Data Visualization with R Shiny - The Fundamentals | 39m | |
| Data Science with R | 6h 2m | |
| R Studio Anova Techniques Course | 2h 18m | |
| SAS Business Analytics for Beginners | 10h 42m | |
| Predictive Modeling with SAS Enterprise Miner | 9h 21m | |
| Quantitative Finance with SAS | 3h 29m | |
| SAS Statistics | 8h 18m | |
| SAS ODS (Output Delivery System) | 9h 08m | |
| SAS PROC SQL | 13h 49m | |
| SAS Macros | 7h 38m | |
| SAS Advanced Analytics | 12h 34m | |
| SAS Graph | 2h 1m | |
| SAS DS2 | 5h 2m | |
| SAS SQL | 3h 03m | |
| SAS Practical - Macros | 5h 12m | |
| SAS Advanced Programming | 11h 24m | |
| SAS Categorical Data Analysis | 7h 26m | |
| Certified SAS Base Programmer | 12h 2m | |
| SAS Features for Starters | 1h 5m | |
| SAS PROC SQL Features | 1h 53m | |
| Big Data and Hadoop Training | Online Hadoop Course | 2h 3m | |
| Hadoop Architecture and HDFS | 6h 13m | |
| MapReduce - Beginners | 3h 34m | |
| MapReduce - Advanced | 5h 35m | |
| Hive - Beginners | 2h 47m | |
| Hive - Advanced | 5h 11m | |
| PIG - Beginners | 2h 1m | |
| PIG - Advanced | 2h 13m | |
| NoSQL Fundamentals | 2h 01m | |
| Mahout | 3h 51m | |
| Apache Oozie | 2h 13m | |
| Apache Flume | 20m | |
| Apache Storm | 2h 4m | |
| Apache Avro | 27m | |
| Apache Spark - Beginners | 1h 5m | |
| Apache Spark - Advanced | 6h 14m | |
| Splunk Fundamentals | 8h 33m | |
| Splunk Advanced 01 - Knowledge Objects | 9h 29m | |
| Splunk Advanced 02 - Administration | 39h | |
| Project on Hadoop - Sales Data Analysis | 47m | |
| Project on Hadoop - Tourism Survey Analysis | 53m | |
| Project on Hadoop - Faculty Data Management | 35m | |
| Project on Hadoop - E-Commerce Sales Analysis | 35m | |
| Project on Hadoop - Salary Analysis | 49m | |
| Project on Hadoop - Health Survey Analysis using HDFS | 56m | |
| Project on Hadoop - Traffic Violation Analysis | 1h 25m | |
| Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce | 2h 33m | |
| Project on Hadoop - Case Study on Telecom Industry using HIVE | 2h 2m | |
| Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce | 53m | |
| Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop | 3h 34m | |
| Project on Hadoop - Sensor Data Analysis using HIVE/PIG | 5h 26m | |
| Project on Hadoop - Youtube Data Analysis using PIG/MapReduce | 3h 02m | |
| Hadoop and HDFS Fundamentals on Cloudera | 1h 22m | |
| Project on Hadoop - Log Data Analysis | 1h 32m | |
| SPSS 2022 - Beginners | 1h 05m | |
| SPSS 2022 - Advanced | 5h 22m | |
| Advanced SPSS Project: Impact of EMI on Home Loan | 43m | |
| Advanced SPSS Project: Impact of Total Turnover in Equity Market | 58m | |
| Advanced SPSS Project: Impact of Trade Data in Equity Market | 46m | |
| SPSS GUI and Applications | 1h 13m | |
| SPSS - Correlation Techniques | 1h 8m | |
| SPSS - Linear Regression Modeling | 3h 08m | |
| SPSS - Multiple Regression Modeling | 2h 34m | |
| SPSS - Logistic Regression | 2h 01m | |
| SPSS - Multinomial Regression | 2h 2m | |
| SPSS GUI for Statistical Analysis | 2h | |
| Tableau Desktop Training 2022 | 4h 12m | |
| Tableau Project-Creating Dashboard and Stories For Financial Markets | 2h 08m | |
| Tableau Project - Russo-Ukraine War A Data Analytical Review | 1h 02m | |
| Tableau | 4h 7m | |
| BI Tools and Tableau Analytics | 5h 38m | |
| Business Intelligence with Tableau | 5h 43m | |
| Tableau Features Hands-on! | 5h 47m | |
| Tableau Practical - Super Store Business Requirements | 45m | |
| Analytics using Tableau | 9h 29m | |
| Minitab for Beginners - 2022 | 1h 12m | |
| Advanced Minitab Training - 2022 | 4h 39m | |
| Minitab Practical - Impact of Predictors on Response | 1h 38m | |
| Statistical Analysis using Minitab - Beginners to Beyond | 4h 27m | |
| Minitab GUI and Descriptive Statistics | 2h 43m | |
| ANOVA in Minitab | 53m | |
| Correlation Techniques in Minitab | 2h 21m | |
| Project on Minitab - Regression Modeling | 9h 54m | |
| Minitab Predictive Modeling using Excel | 55m | |
| MATLAB - Beginners | 2h 58m | |
| MATLAB - Intermediate | 47m | |
| MATLAB - Advanced | 4h 1m | |
| Oracle SQL | 17h 32m | |
| Oracle PLSQL | 13h 2m | |
| Oracle DATABASE Admin DBA 1 Course | 9h 27m | |
| Machine Learning with Tensorflow | 13h 29m | |
| Hands-on Deep Learning Training | 10h 8m | |
| Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | |
| Project on R - HR Attrition and Analytics | 2h 43m | |
| Logistic Regression using SAS Stat | 4h 28m | |
| Linear Regression in Python | 2h 31m | |
| Python Data Science Case Study - Predicting Survival of Titanic Passengers | 2h 6m | |
| Project on R - Card Purchase Prediction | 2h 28m | |
| Machine Learning Python Case Study - Develop Movie Recommendation Engine | 51m | |
| R Practical - Employee Attrition Prediction using Random Forest Technique and R | 2h 2m | |
| Project on Term Deposit Prediction using Logistic Regression CART Algorithm | 1h 38m | |
| Poisson Regression with SAS Stat | 2h 26m | |
| Machine Learning Project using Caret in R | 1h 58m | |
| Time Series Analysis in Python - Sales Forecasting | 2h 12m |
| Course Name | Data Science Course in Hyderabad |
| Deal | You get access to all videos for the lifetime |
| Hours | 660+ Video Hours |
| Core Coverage | You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science. |
| Course Validity | Lifetime Access |
| Eligibility | Anyone serious about learning data science and wants to make a career in analytics |
| Pre-Requisites | Basic knowledge of data and analytics |
| What do you get? | Certificate of Completion for the course |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each85 course, 67 Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
| Software Required | None |
| System Requirement | 1 GB RAM or higher |
| Other Requirement | Speaker / Headphone |
Data Science Course in Hyderabad Curriculum
In this Data Science Course in Hyderabad, you will learn a ton. We’re highlighting here the most relevant ones –
Artificial Intelligence (AI): You will get to learn how to deal with the data from the very basics. You will able to rationalize and take actions that have the best chance of achieving a specific goal. You will also be able to learn all the tools, techniques its applications with python and R programming languages and it even includes projects in these languages.
Machine learning: You will get to learn all machine learning algorithms. By using machine learning algorithms you can identify patterns and make decisions with minimal human intervention. You will be able to learn all machine learning algorithms, techniques, and applications with python and R programming languages.
SAS: You will get to learn SAS programming language by learning this you will be able to manage datasets and also you will able to apply this for statistical analysis.
Hadoop: You will get to learn the Hadoop tool which you can be used according to our requirements. You will able to manage data using Hadoop along with a good ability to run statistics against the data set.
SPSS: You will get to learn SPSS which helps you quickly and easily find new insights into your data.
Tableau: You will get to learn the tableau tool which is a powerful data visualization tool used in the business industry. By using this tool you will able to analyze the data very fast.
Minitab: You will get to learn the Minitab tool which is well suited for instructional applications, used for analyzing research data.
Splunk: You will get to learn Splunk by which you can able to manage the application, security, compliance, business, and web analytics.
Matlab: You will get to learn Matlab where it includes linear algebra programming.
Most of them have projects you will get hands-on experience in the tools and programming languages.
Data Science Training- Certificate of Completion
What is Data Science?
Data science is the study of both structured and unstructured data. Structured data is in the form of organized while in the unstructured data the data is not in the form of an organized way.
It is an umbrella of databases and infrastructure, pattern mining, statistics, machine learning, numerical optimization, stochastic modeling, data analytics, data mining, and data visualization.
Systems may learn in two broad ways, through “supervised” and “unsupervised” learning. In supervised learning, a system produces decisions based on input data.
Unsupervised learning is a process of reorganizing and enhancing the inputs to place a structure on unlabeled data. In simple words, we can we say that data scientist will be forecasting the future based on the past data and helps us to make decisions and predictions in the different business by using various techniques and methods they help us to turn the raw data into valuable business information.
Industry Growth Trend
The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.[Source - MarketsandMarkets]
Average Salary
Average Salary$120,301 per year
The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]
[Source - Indeed]
Which Skills will you learn in this Course?
By taking this Data Science Course in Hyderabad you can master the various data science algorithms, techniques, data visualization tools, and soon.
In this, we have briefly mentioned some of the skills the course covered are python, data visualizations, artificial intelligence, video analytics, OpenCV, python shells, pandas, Machine learning, statistics, linear algebra, probability, Gradient descent, predictive analysis, random forest, grid search, Affinity Propagation Model, Gaussian Mixture Model, Classifiers, Heuristic Search, NLP, Image Loading, Image Thresholding, R Programming, Business Analytics, Data Science, Machine Learning, Regression, Hypothesis Testing, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree, Random Forest, Vector Machine, Time Series Analysis, Market Basket Analysis, Fraud analytics, Customer Analytics, Marketing Analytics, Pricing Analytics, SAS, Graphs, DS2 Programming, Statistics, ODS Output Delivery System and many other techniques.
Pre-requisites
- Willingness to become a data scientist: If you want to learn the latest technologies and methods learn about data science, this course is for you. This Data Science Course in Hyderabad is mainly for the people who are interested to forecast the future by learning and applying machine learning techniques.
- Prior knowledge of basic math concepts terms: For learning and applying for this course it is important to have the prior basic knowledge of maths and statistics like linear algebra, probability, etc. It helps to understand and apply concepts easily.
- Certification of completion or to master it: As we can see the demand for the course in the market is considered as the toughest course as it contains various algorithms, methods, and techniques.
Target Audience
- Students: Students from different fields like B.E/B.Tech/M.Tech/MCA/MS/MBA or B.Sc/M.Sc in Statistics/Maths/ Physics/Economics or any quantitative field who wants to become a data scientist and who wants to learn the latest technology can enroll for this Data Science Course in Hyderabad.
- Experienced people: Experienced people from the IT field who want to have a better career as a data scientist. An experienced person with some background programming knowledge will also get benefit from this course and they can make their career as data scientists, business analysts.
- Beginners: This Data Science Course in Hyderabad is useful for people with no background knowledge of programming and data. It helps people to make their career as a data scientist.
- Data Analyst: Data Analysts who already know the data this course helps them to update their knowledge and helps them to upgrade themselves.
Data Science Course in Hyderabad – FAQ’s
Why should one learn data science?
Understanding data and dealing with information will give you the confidence to taking better decisions not only in the business but also in making decisions needed in our everyday life.
Is it tough for someone to learn data science who has working experience in another domain?
Learning data science for beginners can be tricky. However, if the lessons are learned from the basic level it can be easier to grasp. Having working experience in other domain by taking this Data Science Course in Hyderabad it will help them by applying these techniques in their domain also.
Which roles/jobs can I get into after learning this Data Science Course in Hyderabad?
You will be able to get into the role of a data analyst, business analyst, data scientist, data management, and analyst.
After completion of the Data Science Course in Hyderabad, we will get the certificate?
Yes. After completion of the course, the certificate will be provided and you also have lifetime access to the course.
Why should you take up the Data Scientist course in Hyderabad?
Hyderabad is an IT hub, it contains any IT industries. The demand of the data scientist is also more. If you want to have a better career to become a data scientist then you are in the right place. EDUCBA is considered to be one of the best Data Science training institutes in Hyderabad. Our course will help you to learn algorithms, to upskilling the concepts and it will provide you hands-on experience as it contains projects.
What is the Data Science market trend in Hyderabad?
The new fields in the IT sectors are growing as it is a technological era and the demand for innovation in the existing jobs also increasing.
So because of all the reasons the data science is in trend. And data scientist job has a huge demand in the market. The demand for data scientists is more and the number of people available in the market is less. EDUCBA will help you to become a professional as a data scientist. By using this knowledge you will able to predict and forecast the future and have a better career in different fields like finance, banking, marketing, and advertising, etc as data science is getting used in different fields.
Sample Preview
Career Benefits
- Becoming a data scientist: Learning data science and using applying various algorithms you will become a professional data scientist.
- You can work in different roles: If you do this Data Science Course in Hyderabad, you get access to latest technologies, different programming languages like python, R and data visualization tools like tableau which are currently in demand you will be able to work in different roles such as a data analyst, business analyst, data scientist, data management and analyst.
- It is said that data scientist is the sexiest job of the 21st century. It is currently the most demanding job in the industry.
Reviews
Excellent
It was a well-explained course! Easy to understand and practice. Recommended for beginners.
Linked
Arjun Gaggar
Data Scientist Certification Course
The data scientist training covers t-distribution, Z statistic, and Central limit theorem with exceptional clarity. It helped me in understanding the concepts with such a depth that I would never forget them now. The examples are highly practical and apt. The parallel execution of formulas in R makes it simple to remember rather than just going through the formulae, this Data Science course explains the underlying concepts first. It is the best course on R-Statistics I have come across so far.
Linked
Abbas Singapurwala
Data Scientist Course
Business Analytics is an excellent course for beginners in both Statistics and R programming. A lot of concepts have been covered from basics. It includes descriptive analysis, regression modeling, time series forecasting. It’s good knowledge if someone does not have any background in these techniques.
Linked
Ankit Tyagi
Very good
Detailed and informative Data Scientist course. covered everything in depth. need to know basic statistics for this Data scientist course. but this will lay a solid ground to become a data analyst. with this course realized how powerful is R software and its possibilities. Loved every bit of the data scientist training and would do more courses from EduCBA
Linked
Mudassir Ahmed
Best Professional Development Platform
I have tried a lot of e-portals to have a complete set of curriculum on a specific professional course but did not find any. Thanks to EduCBA for their brilliant initiative to put details of the data scientist course and related topic in a single platform along issuing a course completion certificate……
Linked
SANJAY KUMAR KHILAR
Effective Tool for dashboard creation
This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked
Patrick
Nice & Refreshing Course
This course on Hadoop and HDFS Basics was nice and refreshing. The instructor has explained all the concepts simply by providing sample examples. If you are completely new to Hadoop and need to learn basics then I recommend you to go for this Data Science course.
Linked
Almaamoon rasool abdali
