Data Science Foundation Course
This program is highly preferred for students from 1st & 2nd year of education who want to get their learning started in world's number profession. Students will not just do practical internship projects but also will learn about Data Science, Python & R programming. These learnings will help them perform industry live projects with great passion and ease. Project completion certificate from USA based Analytics consulting firm - Innodatatics Inc., USA, will carry a lot of weightage on your profile.
Learning Outcomes
- Learn exclusive Python Programming for Data Science & Machine Learning
- Learn exclusive R Programming for Data Science & Machine Learning
- Learn Data Science & Machine Learning Algorithms using practical use cases
- Choose from 10+ Projects and complete the practical way of handling projects
- Learn worlds number one methodology for handling Data Science & Machine Learning Projects
Key Modules
- Project Management Methodology - CRISP-DM
- Statistical Analysis
- Regression Analysis
- Machine Learning
- KNN - K-Nearest Neighbors
- Support Vector Machine
- Decision Tree
- Random Forest
- Ensemble Methods - Stacking, Boosting, Bagging
Project to Choose
Teacher & Student Performance Prediction
Educational Data Mining (EDM) aims to apply mining techniques to identify hidden knowledge and patterns about student's and teacher's performance.
HR Analytics - Employee Churn Rate
Cost to the company in hiring and training a new employee is very high compared to retaining an existing employee. The HR team should try to identify the main reasons for iteration in the organizations.
Refurbished Laptops Battery life prediction
"Refurbished laptops come with limited warranties which are of shorter duration and they do not cover batteries life.
Develop a Machine Learning model that can predict the average life of the battery to enable the dealer to provide appropriate warranties to the customers."
Customer Engagement Analysis for Travel agency
"Descriptive analysis on traveling and boarding services on B2B and B2C platforms.
1) Overall rolling trends – Cum TTV, Cum Customers, New Customer, and Existing Customer, Categories/Customers, TTV/Customer, booking/customer, TTV/Txn, TTV/ Customer.
2) Category analysis – Hotels, air booking, international and domestic
3) Channel analysis - Direct Sales"
Chemical Plant Hazardous Conditions
Chemical Plants are very hazardous for staff especially if any harmful chemicals leakage occurs. Using IoT sensors we monitor the level of various chemicals in the plant and classify the conditions as safe or not safe for the employees to continue their work. Build a classification model to classify the conditions in a chemical plant as safe or not safe using the historical conditions.
Prediction of Virtual Machines being created on a given Product / Business Server
Resource utilization is an essential requirement for the IT team. Identifying the exact requirements and streamlining the resource allocation to all the teams in an organization would maintain the continuity of the projects. Prediction of the requirement of VM's for various teams/departments would help the IT team to plan.
On-time Graduation and Student Employability
Applying mining techniques in education related data to identify hidden knowledge and patterns about student's performance. Predict the duration in which the student may get employment post their graduation
Online Cab Service Data Analysis
Predict the number of cab service requests
IPL match results predictions
IPL is an exciting entertainer which captivates attention of millions across the globe. Using Machine Learning algorithms predict the performance of the teams
Crop Yield Prediction Model
Farmers need assistance from technology. Build a prediction model to predict the yield of the crop which is affected by various attributes like climate, water, fertilizers used, etc.
Placement success rate based on the training and exam scores
Due to lockdown caused because of the noval Covid-19 outbreak people are restricted to stay in homes. What are the chances of students getting placed based on the online education
This program is highly preferred for students from 3rd year & 4th year of education who want to get their learning started in world's number profession. Also students from 1st & 2nd year might want to opt if they want to learn more and stay ahead of their peers & fellow students. Students will not just do practical internship projects but also will learn about Data Science, Python & R programming. These learnings will help them perform industry live projects with great passion and ease. Project completion certificate from USA based Analytics consulting firm - Innodatatics Inc., USA, will carry a lot of weightage on your profile
Learning Outcomes
- Learn exclusive Python Programming for Data Science & Machine Learning
- Learn exclusive R Programming for Data Science & Machine Learning
- Learn Data Science & Machine Learning Algorithms using practical use cases
- Choose from 10+ Projects and complete the practical way of handling projects
- Learn worlds number one methodology for handling Data Science & Machine Learning Projects
Key Modules
- Project Management Methodology - CRISP-DM
- Statistical Analysis
- Regression Analysis
- Machine Learning
- KNN - K-Nearest Neighbors
- Support Vector Machine
- Decision Tree
- Random Forest
- Ensemble Methods - Stacking, Boosting, Bagging
- Forecasting / Time Series
- Model Based Approaches - 6 Different Algorithms
- Data Visualization to solve Business Intelligence Projects
Project To Choose
Prediction of students dropouts will help schools in devising appropriate solutions to address this problem.
Transformers outage prediction model
The outage of high-voltage power transformers cost huge dent to the energy companies. Prediction of such incidents will facilitate the need for proactive maintenance, planning, and capital expenditures.
Customer Engagement Analysis for Travel agency
"Predictive analysis on traveling and boarding services on B2B and B2C platforms.
1) Predict the most profitable channel - Direct Sales
2) Forecast the sales based on the Trend Analysis"
Employee Insurance Claims Analysis
Market Research on Insurance Policies for Corporate Employees. Derive a profitable strategy/plan that will benefit all the stakeholders, employees, employers and Insurance providers.
Insider Trading for a Bank
Insider trading is a big threat to the growth of an organization. Insider trading in the banking sector is quite common as the banks working model is different from other firms. Analyze the data provided and also extract data from social media, email and chat rooms, etc. to identify any anomaly in behavior.
AWD (Alternate Wetting and Drying) water consumption prediction
Traditional Rice Farming requires a lot of water and paddy soaked under the water emits harmful methane gas. Using the latest technology, farmers are bringing in AWD (Alternate Wet and Dry) cultivation. This project is about predicting the water required for AWD farming with the help of IoT sensors data
Pharmacy Chatbot (NLP) Phase1 - Data Extraction
In many applications, the goal of the chatbot is not simply to be human-like but to achieve a conversational objective. Using some AI techniques we are trying to come up with a chatbot in the pharmaceutical field which can give quick responses to questions asked by the customers regarding drug query.
Malls across the world rely heavily on attracting customers with fancy lighting and other electronic appliances. To save on the energy consumptions Machine Learning capabilities are being utilized to identify the devices which are consuming the maximum energy. This helps the management cut down on the unnecessary usage of these devices which further help cut down the costs.
ROI of Marketing Strategies
The digital era demands businesses to go digital to capture customers. Various campaigns are run to attract customers from social media and other online forums. The ROI of each campaign has to be evaluated to identify the best practices for the organizations.
Mobile Wallet Fraud Detection
Mobile Money Transfer applications are the current medium of making financial transactions via a mobile device easily and quickly. This also invites a high risk of fraud. Develop a model to detect and prevent fraudulent money transactions in mobile payment systems
Covid-19 Positive Cases Prediction
Predict the number of Covid -19 positive cases based on various attributes and report the number of cases region wise