Data Science is an interdisciplinary field that combines statistical methods, algorithms, data analysis, and machine learning techniques to extract insights and knowledge from structured and unstructured data. It involves collecting, processing, and analyzing large sets of data to discover patterns, make predictions, and support decision-making processes.
Is data science a good career?
It's definitely is, there are over 140,000 job openings in India in this area and a skill gap of 51% that needs to be filled as per the "Digital India" report by McKinsey Global Institute. With average salaries reaching up to 12 LPA, the job market is in high demand for skilled data experts.
Who is eligible for data science course?
The program is open to working professionals, final-year students, and graduates from any industry or domain.
What is the duration of the entire course?
The duration of this program is 6-9 months (learning phase), along with placement support until you secure your first job.
What will be covered in this course?
Data analytical (types and frameworks), analytical skills using excel & SQL, data types, python programming & data libraries, statistics, EDA, data cleaning, data transformation, data visualisation using powerBI, Machine Learning.
How good is the placement record?
According to our records, 95% of learners who completed the program have secured suitable job opportunities. Coding Ninjas has consistently delivered on its promises and is a trusted name in the education industry, with experience in upskilling over 1,50,000 learners. We will create your profile, assist you in preparing your resume, conduct mock interviews, and do everything we can to help you land a job.
Which roles I will be eligible for?
Along with roles in the field of data science, you'll qualify for a range of job positions, such as Data Analyst, Business Analyst, Data Visualization Analyst, Statistical Analyst, and other related analytical roles in the industry.
How do I get started with the data science course?
You can get started by: Registering for the introductory webinar, attending the session to understand the course structure and expectations, meeting the prerequisite requirements, enrolling in the course through our website.
What support is available if I get stuck during the course?
We have a team of 6 expert instructors, 50 industry mentors, and more than 1000+ teaching assistants to help resolve the problems online 1 on 1, available daily from 10 AM to 12 midnight.
How will this course help me in the job market?
The course prepares you for the job market by: Providing hands-on experience with real-world data projects, offering career services like resume building, interview preparation, and job placement assistance and connecting you with industry experts and potential employers.
Which language is used in Data Science?
The primary programming languages used in Data Science are: 1. Python, widely used for its simplicity, extensive libraries (such as Pandas, NumPy, Matplotlib), and community support. 2. SQL is essential for managing and querying relational databases.
Where will the classes take place, and what are the class timings?
The classes will be conducted online. There will be three live classes each week, lasting 2 hours from 9 to 11 PM on MWF (Monday, Wednesday, Friday) for batches starting on the 10th, and on TTS (Tuesday, Thursday, Saturday) for batches starting on the 25th of each month. Additionally, regular assignments and unlimited doubt support will be provided.
Will I get placement assistance along with learning data science.
Yes, you will receive placement assistance till first job, access to have 1200+ hiring partners, soft skill training, live interactive sessions with industry experts. (Mock Interview, Project Guidance and Resume Review) and more.
When can I start appearing for the placement?
After completing the program with the minimum requirement and clearing the placement eligibility criteria, you can start applying for all relevant opportunities.
What will be covered in Machine Learning module added in the data science course?
Introduction to ML, Linear and Logistic Regression Decision Trees and Random Forests Naive Bayes KNN and SVM Principal Component Analysis Natural Language Processing Neural Networks TensorFlow and Keras Deep Learning Algorithms Unsupervised Learning
What all case studies/projects will be covered in the course?
Case study on US healthcare dataset, India CPI inflation, retail store, E- com business, covid 19, PhonePe digital payments, Pro kabaddi league. Project on IT Department PowerBI Dashboard. Machine learning projects : Facial emotion recognition, text generation, artificial neural network, distracted driver detection, neural machine translation.
Will this course provide certification?
Yes, you will receive NSDC approved certificates for completion and excellence.