Data Science
Course Overview
Trying to find an internship in data science? This course equips you with the essentials. We’ll crack data science, teach you to code in Python, and organise disorganized data. Master data exploration and create impactful visualizations. Explore machine learning algorithms. Create a portfolio that highlights your abilities. We even offer interview preparation. Set out on your data science adventure with confidence!
Duration
6 months. This allows for an in-depth exploration of Data Science concepts and practical hands-on experience.
Key Features
- Online
- Lifetime access to self-paced learning
- Time flexible to start an internship at any point in time
- LMS-supported with digital content and live classes
- Hands-on project execution of the live project.
- Mentor allocation for every intern for the live doubt-clearing session.
- Job placement calls for assurance after completing the internship.
- Free career counseling
- Proctored practice exams/Quizzes
- Available on Mobile App.
Application Process:
Join Our Internship Program by filling application form on https://jhamobi.com/internship/
Mail to admin@jhamobi.com
Call +91 8605666060 / +91 98185 80529
Shortlisted candidates will be selected based on Eligibility criteria and academic performance.
Skills Covered
Data science is a field that combines computer science, statistics, and domain knowledge to extract insights from data. Data scientists use these skills to solve a variety of problems, such as predicting customer churn, optimizing marketing campaigns, and developing new products.
Here are the top skills learned in Data Science:
- Programming: Python is the most popular programming language for data science, but R and SQL are also important skills to have.
- Statistics and Probability: Data scientists need to be able to understand and apply statistical concepts such as hypothesis testing, linear regression, and machine learning algorithms.
- Data Wrangling and Cleaning: Real-world data is often messy and incomplete. Data scientists need to be able to clean and prepare data for analysis.
- Machine Learning: Machine learning is a type of artificial intelligence that allows computers to learn without being explicitly programmed. Data scientists use machine learning algorithms to make predictions and classifications.
- Data Visualization: Data visualization is the art of communicating data insights through charts, graphs, and other visual elements. Data scientists need to be able to create clear and concise visualizations that can be easily understood by non-technical audiences.
- Communication: Data scientists need to be able to communicate their findings to both technical and non-technical audiences. This includes writing clear and concise reports, as well as giving presentations.
Problem-Solving: Data science is a problem-solving field. Data scientists need to be able to identify problems, collect and analyze data, and develop solutions.
Course Curriculum
Eligibility
Pre-requisites
Course Content
This is a high-level overview of a typical Data Science course curriculum.
- Introduction to Data Science: This covers the core ideas of data science, its applications in various fields, and the data science workflow.
- Statistics and Probability: You’ll learn about central tendency measures, probability distributions, hypothesis testing, and other statistical methods used to analyze data.
- Programming for Data Science: Python is the most popular language, and you’ll likely learn its basics for data manipulation and analysis. R and SQL might also be introduced.
- Data Acquisition and Cleaning: Learn how to find and access data sources, and techniques to clean and prepare messy data for analysis.
- Exploratory Data Analysis (EDA): Mastering methods to explore and visualize data to uncover patterns and trends is a key skill.
- Data Visualization: Tools like Tableau or libraries like Matplotlib will be introduced to create impactful data visualizations for communication
- Machine Learning Algorithms: This section provides an overview of common machine learning algorithms like linear regression, decision trees, and k-nearest neighbors. You’ll understand their functionalities and applications.
- Supervised vs. Unsupervised Learning: Learn the distinction between supervised learning (predictive modeling) and unsupervised learning (discovering hidden patterns).
- Model Evaluation: Explore techniques to evaluate the performance of machine learning models.
- Big Data Concepts: An introduction to big data technologies and tools used to handle massive datasets. (Optional)
- Deep Learning: An exploration of deep learning architectures like neural networks, used for complex tasks like image recognition. (Optional)
- Data Communication and Ethics: Learn effective communication of data insights and the ethical considerations surrounding data collection and usage.
- Apply your learned skills to a real-world data science problem through a project. This demonstrates your capabilities to a potential employer.
Industry Project
Feedback Review Cloud
Heart diseases prediction Cloud
Heart Attack PredictionCloud
City cycle fuel consumptionCloud
Classification of dry beanCloud
Student analysisCloud
Exam & Certification
JhaMobi Technologies certificates are given after completing full assignments and Mock Tests, quizzes/tests and Final exam online.
- The intern is required to finish the one-month training program in self study mode.
2. Interns must pass a proctored exam in quiz form.
3. A verbal interview with a concerned industry/technology expert will take place following the successful completion of the proctored quiz exam.
4. The intern will begin a free online internship after selection.
5. If candidates are not qualified then they will be asked to be directly enrolled in paid internship programs at nominal cost.
45 days, 90 days and 180 days.
1.5 months/45 Days costs Rs 2500
3 Months/90 days costs Rs 5000
6 Months/180 days costs Rs 8100
After completion, interns will get completion certificate with grade
Kindly note:- The students enrolled in Universities/Institutions/Colleges can avail of Credit Transfer as per UGC Regulations, 2021 for this course. The Host Company for this Credit Transfer will be JhaMobi Technologies Private Limited
Why Online Bootcamp
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills