Distributed Computing Spark & PySpark
Processing big data with lightning speed
Git Account creation & Google Colab
Master project management and cloud-based GUI
ML on Cloud - AWS, Azure, GCP - AutoML
Build ML algorithms without writing a single line of code
Data Ingestion using Python (Included in Python Programming)
Must know skill to begin data science journey
Facebook Prophet & ARIMA Variants
New era of timeseries / forecasting algorithms
MLOps
New breed of end-to-end seamless pipeline building
Data Engineering - Data Warehouse, ETL, ELT, Data Lake, Data Lakehouse, Data Pipeline, etc.
Boasts of more in-demand skill than data science
IBM Watson Cognitive Computing AutoML By IBM
Experience the enhanced IBM Watson capability
EDULEAP is the Authorised Learning Centre of renowned EdTech Company 360DigiTMG. It is based in Kharadi, Pune and offers in-demand courses in the areas of Data Analytics, Data Visualisation, Data Science, Data Engineering, Cloud Computing and Artificial Intelligence. These courses equip graduates as well as working professionals with the necessary skill-sets as required by the Industry and make them future-ready. Experienced trainers, Capstone Live Projects, Practical Assignments, Free Webinars, Lifetime access to recorded sessions, Hybrid (online and classroom) sessions, 100% Placement Assistance and International level Certification - all make EDULEAP a much sought-after destination in Pune for upskilling oneself and getting into a fast-track career.
Data science heavily relies on mathematical concepts such as linear algebra, calculus, probability, and statistics. Building a solid understanding of these subjects will be beneficial.
Course Highlights
This program offers Designed for Freshers and working professionals
Live Instructor-led Training Hybrid Mode(online+offline)
Data science alumni: Empowering industries through insights and innovation.
The course material and infrastructure is sound. They keep a watch on us most of the time. They really helped me secure a job. I liked their placement assistance. Very sound institute.
Countless benefits of this course. Special Thanks to my mentors. It feels great to finally start working
The trainers displayed good communication skills and made the sessions more interactive. This course been really great.
Good ambience and a good team. They really guided me well from day one. I like my mentor very much. The course material is excellent.
The course was well structured and our trainer was very thorough in the concepts. I liked the interview preparation and thanks to 360DigiTMG I got placed well
Data Science is an esoteric subject but this course made it so simple for me. I loved the course material and quizzes. The instructor was very helpful. You can learn a lot from this institute.
The faculty went to great depths to clarify our doubts. They gave us a lot of assignments and one very challenging live project. Great place to study.
The various stages of the course are explored in the trajectory of this Data Science program. This training begins with an introduction to Statistics, Probability, Python, and R programming. The student will then conceptualize Data Preparation, Data Cleansing, Exploratory Data Analysis, and Data Mining (Supervised and Unsupervised). Comprehend the theory behind Feature Engineering, Feature Extraction, and Feature Selection. Participants will also learn to perform Data Mining (Supervised) with Linear Regression and Predictive Modeling with Multiple Linear Regression Techniques. Data Mining Unsupervised using Clustering, Dimension Reduction, and Association Rules are also dealt with in detail.
A module is dedicated to scripting Machine Learning Algorithms and enabling Deep Learning and Neural Networks with Black Box techniques and SVM. All the stages delineated in the CRISP-DMM framework for a Data Science Project are dealt with in great depth and clarity in this course. Undoubtedly this emerges as one of the best Data Science in Kharadi due to the live project exposure in INNODATATICS. This gives a golden opportunity for students to apply the various concepts studies to a real-time situation.
What is Data Science?
Data science is an amalgam of methods derived from statistics, data analysis, and machine learning that are trained to extract and analyze huge volumes of structured and unstructured data.
Who is a Data Scientist?
A Data Scientist is a researcher who has to prepare huge volumes of big data for analysis, build complex quantitative algorithms to organize and synthesize the information, and present the findings with compelling visualizations to senior management. He enhances business decision-making by introducing greater speed and better direction to the entire process.
A Data Scientist must be a person who loves playing with numbers and figures. A strong analytical mindset coupled with strong industrial knowledge is the skill set most desired. He must possess above-average communication skills and must be adept at communicating technical concepts to non-technical people.
Data Scientists need a strong foundation in Statistics, Mathematics, Linear Algebra, Computer Programming, Data Warehousing, Mining, and Modeling to build winning algorithms. They must be proficient in tools such as Python, R, R Studio, Hadoop, MapReduce, Apache Spark, Apache Pig, Java, NoSQL database, Cloud Computing, Tableau, and SAS.
In this data-driven environment, 360DigiTMG's certification prepares you for the surging demand for Big Data skills and technology in all the leading industries. There is a huge career prospect available in the field of data science and our certification program is one of the most comprehensive in the industry today. This data science course in Kharadi is specially designed to suit both data professionals and beginners who want to make a career in this fast-growing profession. This training will equip the students with logical and relevant programming abilities to build database models. They will be able to create simple machine learning algorithms like K-Means Clustering, Decision Trees, and Random Forest to solve problems and communicate the solutions effectively. In three months, students will also explore the key techniques such as Statistical Analysis, Regression Analysis, Data Mining, Machine Learning, Forecasting and Text Mining, and scripting algorithms for the same with Python and R Programming. Understand the key concepts of Neural Networks and study Deep Learning Black Box techniques like SVM.
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Who Should Sign Up?
This data science program follows the CRISP-DM Methodology. The premier modules are devoted to a foundational perspective of Statistics, Mathematics, Business Intelligence, and Exploratory Data Analysis. The successive modules deal with Probability Distribution, Hypothesis Testing, Data Mining Supervised, Predictive Modelling - Multiple Linear Regression, Lasso And Ridge Regression, Logistic Regression, Multinomial Regression, and Ordinal Regression. Later modules deal with Data Mining Unsupervised Learning, Recommendation Engines, Network Analytics, Machine Learning, Decision Tree and Random Forest, Text Mining, and Natural Language Processing. The final modules deal with Machine Learning - classifier techniques, Perceptron, Multilayer Perceptron, Neural Networks, Deep Learning Black-Box Techniques, SVM, Forecasting, and Time Series algorithms. This is the most enriching training program in terms of the array of topics covered.
Transforming Data into Knowledge: The Power of Data Science
"AI to contribute $16.1 trillion to the global economy by 2030. With 133 million more engaging, less repetitive jobs AI to change the workforce." - (Source). Data Science with Artificial Intelligence (AI) is a revolution in the business industry.. AI is potentially being adopted in automating many jobs leading to higher productivity, less cost, and extensible solutions. It is reported by PWC in a publication that about 50% of human jobs will be taken away by the AI in the next 5 years.
There is already a huge demand for AI specialists and this demand will be exponentially growing in the future. In the past few years, careers in AI have boosted concerning the demands of industries that are digitally transformed. The report of 2018 states that the requirements for AI skills have drastically doubled in the last three years, with job openings in the domain up to 119%.
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The top sectors creating the most data science jobs are BFSI, Energy, Pharmaceutical, Healthcare, E-commerce, Media, and Retail. The maximum demand for Data Scientists are in the Metros cities like Delhi-NCR and Mumbai. It’s demand is also catching up in emerging cities like Pune and Bangalore.
The average salary of a Data Scientist is Rs.10.3 lakhs per annum in India. Professionals specializing in advanced analytics and predictive modelling can command higher salaries.
The Indian government has initiated several data science projects in the fields of Agriculture, Electricity, Water, Healthcare, Education, Road Traffic Safety and Air Pollution. The Government of India has initiated several data science research initiatives as well.
Python and R are easy to learn and maintain and therefore, Godsend to developers in Data Science. Their extended libraries make it possible to stretch the applications of Python from Big Data Analytics to Machine Learning.
The course in Kharadi is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Data Science is used for securities fraud early warning, card fraud detection systems, demand enterprise risk management, analysis of healthcare information, lseismic interpretation, reservoir characterization, energy exploration, traffic control and route planning.