Diploma in Full Stack Data Science & Artificial Intelligence in Pune and Mumbai
Course Description
Python + SQL + MongoDB + Statistics + Machine Learning + Deep Learning + Computer Vision + NLP + Tableau + Power BI Desktop + Big Data + AWS + Adv Excel + Gen AI
Mode: Online / Offline (Classroom) / Hybrid
AWS, Adv Excel & Gen AI(ChatGPT) Free – Limited Period Offer
For T&C Click Here
*No Technical Background Required. For IT & NON-IT
Gamaka AI Offers data science course in Pune with 100% job guaranteed.
(job guaranteed subject to terms & condition )
Diploma in Full Stack Data Science & Artificial Intelligence is designed for the people who wish to expand their proficiency in Data Science and grab career opportunities as Data Scientist/Data Analyst/Statistics Consultants/Business Analyst.
According to International Data Corporation (IDC), a technology research company, the global data analytics and big data market is likely to reach USD 57 billion by 2020 with a CAGR of 23%. This also means that there is going to be a bigger gap in demand and supply of data scientists, including professionals for information management, software development, data analytics, artificial intelligence and data discovery. Hence, Python, Machine Learning, Deep Learning, Big Data Hadoop, Spark, Tableau, Mongo DB, etc. have become the most sought-after skills. Program Structure:
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- Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
*Note: Separate batch & additional 1 month extra sessions for NON-IT Professionals to build strong programming skills from scratch.
Duration: 6 Months / 300+ hours.
Blended – Combination of Online / Offline(classroom)
Duration: 6 Months / 300+ hours.
Blended – Combination of Online / Offline(classroom)
Program Flow
Projects/Case Studies
Any 15 Case Studies (T & C apply)- Projects/Case Studies
- Forecasting Stock and Commodity Prices
- Build your own image recognition model with TensorFlow
- Customer Segmentation and Effective Cross Selling
- Predict fraud with data visualization & predictive modelling
- Chatbot Project using Microsoft Luis/Google Dialog flow/Amazon Lex
- Deep Learning – Customer Feedback analysis using RNN LSTM.
- Deep Learning – Family member detection.
- Deep Learning – Industry financial growth prediction.
- Deep Learning – Speech recognition-based attendance system.
- Deep Learning – Vehicle Number plate detection and recognition system
- Forecasting Stock and Commodity Prices
- Build your own image recognition model with TensorFlow
- Customer Segmentation and Effective Cross Selling
- Web Scrapping – Web crawlers for image data sentiment analysis and product review sentiment analysis.
- Predict fraud with data visualization & predictive modelling
- Analyzing Movie Reviews Sentiment.
- Analyzing Music Trends and Recommendations
- Time Series – Arimam, Sarima, Auto Arima
- Time series using RNN LSTM Build your own Recommendation System
- Build your own Python predictive modelling, regression analysis & machine learning Model
- Football Players (Estimating Population Mean from a Sample)
- Election Polling (Estimating Population Proportion from a Sample)
- A Medical Study (Hypothesis Test for the Population Mean) Employee Behavior (Hypothesis
- Test for the Population Proportion)
- A/B Testing (Comparing the means of two populations
- Customer Analysis (Comparing the proportions of 2 populations)
- Predictive medicine: prognosis and diagnostic accuracy
- Virtual assistance for patients and customer support
- Analysing Wine Types and Quality
- Creation of drugs – allows choosing, which experiments should be done and incorporates all the new information in a continuous learning loop
- Clustering algorithms for customer segmentation
- Discovering similarities across my Spotify music using data, clustering and visualization
- An End-to-End Project on Time Series Analysis and Forecasting with Python
- Using LSTMs to forecast time-series
- Evolution of a salesman: A complete genetic algorithm tutorial for Python
- A Machine Learning Approach — Building a Hotel Recommendation Engine
- How To Create Data Products That Are Magical Using Sequence-to-Sequence Models
- Deployment of all the project In cloudfoundary , AWS , AZURE and Google cloud platform.
- Deployment – Expose, api to web browser and mobile application retraining approach of Machine learning model.
- Deployment – Devops infrastructure for machine learning model.
- Deployment – AUTO ML.
- Deployment – Prediction based on streaming data.
