Data Science is one of the fastest evolving fields & a Data Scientist’s job is one of the fastest growing and highest paid in tech. As there is a cut-throat competition in the market, top organizations are turning their minds to data analytics to identify new market opportunities to design their services and products. Surveys show that 75% of top organizations consider data analytics an essential component of business performance. This is where data scientists come in. Data scientists know how to use their skills in math, statistics, programming, and other related subjects to organize large data sets. Then, they apply their knowledge to uncover solutions hidden in the data to take on business challenges and goals. They are thus able to contribute to their organisation’s business goals. So, learning data science through effective training can give you a bright future. Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! It is a rewarding career that allows you to solve some of the world’s most interesting problems! As per Payscale.com, a Data Scientist (IT) with Big Data Analytics skills earns an average salary of Rs 706,750 per year in India.
Learning path in this Data Analytics, Data Science & Machine Learning program is specifically designed to give you the tools that you need to be successful in this field. Our innovative approach to this training by combining deep knowledge and collaborative learning environment will help you to develop real skills in analytics. By the end of this training, you will:
1. Introduction To Machine Learning
2. Supervised Learning & Unsupervised Learning
3. Regression Metrics
4. Classification Metrics
5. Machine Learning Toolbox
6. Data Preprocessing
7. Linear Regression
8. Advanced Linear Regression
9. Logistic Regression
10. K Nearest Neighbour
11. Decision Tree
12. Random Forests
13. Support Vector Machines
14. K - Means Clustering
15. Hierarchical Clustering
16. Dimensionality Reduction - PCA
17. Machine Learning WebApps
18. Machine Learning Models Deployment
Nitin has over 15 years of rich experience across IT & Analytics technology stack. He has worked for companies like Xerox, Wipro Technologies & have worked across different geographies like India, US & Australia, cutting across different domains like banking, supply chain, health care, e-commerce etc. Nitin has also trained 1000 plus candidates in the field of Data Science & Machine Learning. He likes exploring and solving challenging and competitive industrial problems in the field of Analytics, NLP, & Deep Learning, and converting them into actionable insights. Passionate about building scalable, high-quality practical data-driven solutions and likes to talk about futuristic ideas and product engineering. He has led several data science teams while pairing with machine learning researchers and engineers to maximise the speed of experimentation and production. His interests include Machine Learning, Image Processing, Computer Vision, Deep Learning and he has a strong understanding of analytics in the retail, marketing, and finance areas.
Our Data Science Experts are always available to take your query!
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