Learn from Home Offer
Learn from Home Offer
Data Science Course in Delhi (85 Courses, 67+ Projects)
85 Online Courses
67 Hands-on Projects
Verifiable Certificate of Completion
Python Data Scientist Courses (18 Courses)
Python Data Scientist Projects (6 Projects)
R Programming Data Scientist Courses (12 Courses)
R Programming Data Scientist Projects (11 Projects)
SAS Data Scientist Courses (9 Courses)
* One Time Payment & Get Lifetime Access
What you get in this Data Science Course in Delhi?
Mobile App Access
About Data Science Course in Delhi
|Course||No. of Hours|
|Machine Learning with Python 2022||5h 31m|
|Project on Machine Learning - Covid19 Mask Detector||2h 1m|
|Machine Learning Project - Auto Image Captioning for Social Media||2h 27m|
|Machine Learning with SciKit-Learn in Python||8h 15m|
|Machine Learning Python Case Study - Predictive Modeling||7h 1m|
|Matplotlib for Python Developers - Beginners||4h 24m|
|Matplotlib for Python Developers - Intermediate||2h 55m|
|Matplotlib for Python Developers - Advanced||5h 12m|
|Pandas with Python Tutorial||5h 6m|
|NumPy and Pandas Python||5h 07m|
|Pandas Python Case Study - Data Management for Retail Dataset||3h 35m|
|Python Case Study - Sentiment Analysis||1h 08m|
|Data Science with Python||3h 7m|
|Artificial Intelligence with Python - Beginner Level||2h 55m|
|Artificial Intelligence with Python - Intermediate Level||4h 43m|
|AI Artificial Intelligence with Python||6h 36m|
|Video Analytics using OpenCV and Python Shells||2h 28m|
|Machine Learning using Python||3h 32m|
|Statistics Essentials with Python||3h 26m|
|Project on Tensorflow - Implementing Linear Model with Python||1h 49m|
|Project - Data Analytics with Data Exploration Case Study||5h 19m|
|Project on ML - Random Forest Algorithm||1h 31m|
|Seaborn Python - Beginners||2h 32m|
|Seaborn Python - Intermediate||1h 22m|
|Seaborn Python - Advanced||1h 58m|
|PySpark Python - Beginners||2h 33m|
|PySpark Python - Intermediate||2h 1m|
|PySpark Python - Advanced||0m|
|Machine Learning Python Case Study - Diabetes Prediction||1h 05m|
|R Studio UI and R Script Basics||4h 14m|
|R Programming for Data Science | A Complete Courses to Learn||6h 22m|
|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 25m|
|Financial Analytics in R - Beginners||3h 53m|
|Financial Analytics in R - Intermediate||1h 25m|
|Financial Analytics in R - Advanced||1h 4m|
|R for Finance - Beginners to Beyond||2h 18m|
|Comprehensive Course on R||4h 1m|
|Project on R - Forecasting using R||4h 41m|
|Project - Fraud Analytics using R & Microsoft Excel||2h 37m|
|Project - Marketing Analytics using R and Microsoft Excel||3h 32m|
|Machine Learning with R||20h 21m|
|Case Study - Customer Analytics using Tableau and R||2h 11m|
|Case Study - Pricing Analytics using Tableau and R||2h 02m|
|Business Analytics using R - Hands-on!||16h 11m|
|Project - Market Basket Analysis in R||39m|
|Project - Hypothesis Testing using R||3h 11m|
|Data Visualization with R Shiny - The Fundamentals||44m|
|Data Science with R||6h 15m|
|R Studio Anova Techniques Course||2h 18m|
|SAS Business Analytics for Beginners||10h 59m|
|Predictive Modeling with SAS Enterprise Miner||9h 35m|
|Quantitative Finance with SAS||3h 32m|
|SAS Statistics||8h 33m|
|SAS ODS (Output Delivery System)||9h 09m|
|SAS PROC SQL||14h 14m|
|SAS Macros||7h 38m|
|SAS Advanced Analytics||12h 34m|
|SAS Graph||2h 12m|
|SAS DS2||5h 2m|
|SAS SQL||3h 03m|
|SAS Practical - Macros||5h 12m|
|SAS Advanced Programming||11h 28m|
|SAS Categorical Data Analysis||7h 26m|
|Certified SAS Base Programmer||12h 48m|
|SAS Features for Starters||1h 54m|
|SAS PROC SQL Features||1h 53m|
|Big Data and Hadoop Training | Online Hadoop Course||2h 5m|
|Hadoop Architecture and HDFS||6h 24m|
|MapReduce - Beginners||3h 39m|
|MapReduce - Advanced||5h 01m|
|Hive - Beginners||2h 55m|
|Hive - Advanced||5h 16m|
|PIG - Beginners||2h 15m|
|PIG - Advanced||2h 14m|
|NoSQL Fundamentals||2h 04m|
|Apache Oozie||2h 18m|
|Apache Storm||2h 7m|
|Apache Spark - Beginners||1h 52m|
|Apache Spark - Advanced||5h 27m|
|Splunk Fundamentals||8h 44m|
|Splunk Advanced 01 - Knowledge Objects||9h 46m|
|Splunk Advanced 02 - Administration||37h 54m|
|Project on Hadoop - Sales Data Analysis||47m|
|Project on Hadoop - Tourism Survey Analysis||55m|
|Project on Hadoop - Faculty Data Management||35m|
|Project on Hadoop - E-Commerce Sales Analysis||36m|
|Project on Hadoop - Salary Analysis||49m|
|Project on Hadoop - Health Survey Analysis using HDFS||57m|
|Project on Hadoop - Traffic Violation Analysis||1h 28m|
|Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce||2h 38m|
|Project on Hadoop - Case Study on Telecom Industry using HIVE||2h 4m|
|Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce||53m|
|Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop||3h 37m|
|Project on Hadoop - Sensor Data Analysis using HIVE/PIG||4h 31m|
|Project on Hadoop - Youtube Data Analysis using PIG/MapReduce||3h 07m|
|Hadoop and HDFS Fundamentals on Cloudera||1h 26m|
|Project on Hadoop - Log Data Analysis||1h 33m|
|SPSS 2022 - Beginners||1h 07m|
|SPSS 2022 - Advanced||5h 28m|
|Advanced SPSS Project: Impact of EMI on Home Loan||43m|
|Advanced SPSS Project: Impact of Total Turnover in Equity Market||59m|
|Advanced SPSS Project: Impact of Trade Data in Equity Market||46m|
|SPSS GUI and Applications||1h 16m|
|SPSS - Correlation Techniques||2h 25m|
|SPSS - Linear Regression Modeling||3h 16m|
|SPSS - Multiple Regression Modeling||2h 35m|
|SPSS - Logistic Regression||2h 04m|
|SPSS - Multinomial Regression||2h 2m|
|SPSS GUI for Statistical Analysis||2h 08m|
|Tableau Desktop Training 2022||4h 25m|
|Tableau Project-Creating Dashboard and Stories For Financial Markets||2h 12m|
|Tableau Project - Russo-Ukraine War A Data Analytical Review||1h 03m|
|BI Tools and Tableau Analytics||5h 48m|
|Business Intelligence with Tableau||5h 5m|
|Tableau Features Hands-on!||5h 47m|
|Tableau Practical - Super Store Business Requirements||46m|
|Analytics using Tableau||9h 03m|
|Minitab for Beginners - 2022||1h 12m|
|Advanced Minitab Training - 2022||4h 06m|
|Minitab Practical - Impact of Predictors on Response||1h 38m|
|Statistical Analysis using Minitab - Beginners to Beyond||4h 29m|
|Minitab GUI and Descriptive Statistics||2h 48m|
|ANOVA in Minitab||53m|
|Correlation Techniques in Minitab||2h 21m|
|Project on Minitab - Regression Modeling||9h 54m|
|Minitab Predictive Modeling using Excel||56m|
|MATLAB - Beginners||2h 7m|
|MATLAB - Intermediate||47m|
|MATLAB - Advanced||4h 9m|
|Oracle SQL||18h 6m|
|Oracle PLSQL||13h 21m|
|Oracle DATABASE Admin DBA 1 Course||9h 45m|
|Machine Learning with Tensorflow||13h 18m|
|Hands-on Deep Learning Training||11h 34m|
|Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression||2h 08m|
|Project on R - HR Attrition and Analytics||2h 43m|
|Logistic Regression using SAS Stat||0m|
|Linear Regression in Python||2h 31m|
|Python Data Science Case Study - Predicting Survival of Titanic Passengers||1h 51m|
|Project on R - Card Purchase Prediction||2h 31m|
|Machine Learning Python Case Study - Develop Movie Recommendation Engine||52m|
|R Practical - Employee Attrition Prediction using Random Forest Technique and R||2h 2m|
|Project on Term Deposit Prediction using Logistic Regression CART Algorithm||1h 42m|
|Poisson Regression with SAS Stat||2h 26m|
|Machine Learning Project using Caret in R||1h 6m|
|Time Series Analysis in Python - Sales Forecasting||2h 18m|
|Course Name||Online Data Science Course in Delhi|
|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|
|System Requirement||1 GB RAM or higher|
|Other Requirement||Speaker / Headphone|
Data Science Course in Delhi Curriculum
Data science is a vast course. There are different ways on how you approach this Data Science Course in Delhi. Depending on the purpose and what you want to be (i.e. data analyst, data scientist) the approach differs.
Understanding big data is one of the primary steps to start the approach towards data science. Big data is a collection of large data sets. It is also the current trend as most of the companies adopt big data.
Big data is supported by Hadoop which helps in storing and processing the data. Hadoop is a framework that helps in storing huge data sets. It is also open-source, while commercial versions are also available in the market. Hadoop is scalable and distributed.
Hands-on experience is important in any course we learn. It helps us apply our knowledge of real-world problems. Initial topics include python and different frameworks used in it. Secondly, R programming is a must for a data scientist which will be covered in the course. So, the Data Science Course in Delhi ticks every topic required to be a data scientist.
Data Scientist Course – Certificate of Completion
What is Data Science?
Data science covers data cleaning, preparation, and analysis. It includes scientific methods to analyze data. It is about making sense of the given data.
Data scientist makes use of all the available tools to make meaningful data out of the given raw data. Also, to understand the pattern in the huge data sets.
Big data is similar to data science, but an independent field. It is targeted to store, process, and extract information from huge chunks of data.
An organization handles lots of data to derive the decision out of it. Data scientists are also able to produce the data in the graphical representation which makes it way too easy to make decisions. In addition to the programming skills and the knowledge about several technologies, they are also proficient in performing a mathematical calculation based on statics that endorses the data processing. As a part of their role, they turn the mathematical formula into an algorithm that processes the data and generates useful information.
Industry Growth TrendThe 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]
[Source - Indeed]
Which Skills will you learn in this Course?
The Data Science Course in Delhi contains the basics of Python. Python helps in analyzing huge chunks of data and work with them. Along with Python, you will also learn R programming that is vastly used programming language for Data Science.
Other than programming languages, you will work on SAS live project. Every topic has a live project within it. The purpose of the live project is to make you understand the various aspects of the technology. And, the live project gives an idea of various problems that can occur in a real-time production environment. It includes technologies like Hadoop, tableau, Minilab, and SPSS. All the topics mentioned enhances your learning towards data science. Overall, the course gives a deep understanding of data science.
- For this Data Science Course in Delhi following are some pre-requisites you would require to make learning easier.
Programming is one of the most important skills to learn data science. Programming helps in understanding problem statements and statistical data. Java is one of the most common programming languages.
You can also learn python if you are a beginner with programming. Python also helps you write code, use Frameworks in Python. R is designed to handle data and helps you to be a data scientist. Tools are specifically developed to support machine learning and big data.
Whatever language you choose, how you write changes, but the logic remains the same.
SQL skills are mandatory to write queries when fetching data from huge data sets. It helps in understanding data as well as the relationship between the data sets.
The core role of a data scientist is to process the data by applying the algorithms and unique methods. They should be well versed with technologies like Hadoop, mat lab, slunk, etc.
- The target audience for data science is both for students and professionals. Students who are pursuing their final year can pursue this Data Science Course in Delhi because it provides a lot of opportunities as more and more people look for data scientists.
Professionals who are looking for career growth can choose this course. As they already have edge working on similar technologies in the respective IT fields. There are a lot of IT companies that have adopted big data models and provide great opportunities for people with knowledge of data science.
This Data Science Course in Delhi is trending as well as may well be booming in the coming future.
Data Science Course in Delhi – FAQ’s
Why take up a Data science course in India?
The primary reason to choose data science as a course is the number of opportunities for the experts in this field is high. As already stated above, all top companies are looking for professional data scientists. Data science provides more opportunities as there is a lot of demand for data science professionals and beginners. Grab opportunities by taking up the data science course and become a data scientist.
What is the Data Science market trend in Delhi?
Delhi is a capital city, attracts a lot of enterprise companies to set up their companies in Delhi. It provides various opportunities in different sectors like manufacturing, services, and technology-related industries. A few years back, the consumption of data was low. But, now with data being cheaper and easily available. There is more need for data scientists in India. Data science is now booming and part of almost every industry.
What is the salary of a data scientist?
The data scientist is a vague term to use because there are various fields under data science like data analyst etc. However, the average salary compounds to 12.7 lakhs per annum.
Seaborn-Statistical Data Visualization06.51
Creating Pie Charts06.03
Decision Tree Classifier06.57
- The Data Science Course in Delhi consists of several beginner and advanced modules to understand various topics under data science. The learning part of the modules is explained simply and easily. All the modules have project modules that help to understand the concept better and the way it can be implemented. After course completion, you will be able to work in a production environment and understand the implementations.
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