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The following topics are covered here
Module 1 - Introduction to Data Science with Python
Module 2 - Python Basics: Basic Syntax, Data Structures
Module 3 - Numpy Package
Module 4 - Pandas Package
Module 5 - Python Advanced: Data Mugging with Pandas
Module 6 - Python Advanced: Visualization with MatPlotLib
Module 7 - Exploratory Data Analysis:
Module 8 - Exploratory Data Analysis: Case Study
The following topics are covered here
Module 1: SQL and RDBMS introduction
Module 2: SELECT Query in SQL
Module 3: Connecting Tables in Data Base Query
Module 4: Python SQL query to retrieve from any SQL database
Module 5: Hands-On Project
The following topics are covered here
Module 1: Introduction to Big Data
Module 2: Big Data Concepts
Module 3: Hadoop Installation and configuration
Module 4: Hadoop – Simple use case deployment
The following topics are covered here
Module 1: Data Science Introduction
Module 2: Data Mining vs Business Analytics vs Data Science
Module 3: Classification of Business Analytics
Module 4: Artificial Intelligence vs Machine Learning
Module 5: Types of Machine Learning
Module 6: Data Science Project Work Flow
Module 7: Industry application of Data Science solutions
Module 1: Introduction to Statistics
Module 2: Harnessing Data
Module 3: Exploratory Analysis
Module 4: Distributions
Module 5: Hypothesis & computational Techniques
Module 6: Correlation & Regression
Module 1: Introduction to Pandas
Module 2: Series and DataFrame data structures
Module 3: Essential functions in Pandas for data mugging
Module 4: Various Data Treatment Techniques
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Module 5: Exploratory Data Analysis with Pandas
Module 6: Plotting with Pandas
Module 7: Transformation data to get it ready for Machine Learning
Module 1: Machine Learning Introduction
Module 2: Machine Learning Algorithms
Module 3: Supervised Learning
Module 4: Linear Regression and Logistic Regression
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Module 5: K-Nearest Neighbour (KNN)
Module 6: Decision Tree
Module 7: Naïve Bayes Classifier
Module 8: Unsupervised Learning
Module 1: Advanced Machine Learning Concepts
Module 2: Random Forest – Ensemble
Module 3: Support Vector Machine (SVM)
Module 4: Natural Language Processing (NLP)
Module 5: Naïve Bayes Classifier
Module 6: Artificial Neural Network (ANN)
Module 7: Tensorflow overview and Deep Learning Intro
Module 1: Introduction to Sentiment Analysis
Module 2: Introduction to NLTK and TextBlob packages
Module 3: Application of Sentiment Analysis on Twitter live
Module 1: Introduction to Deep Learning
Module 2: Deep Learning with Python frameworks
Module 3: Applications of Deep Learning
Module 1: Artificial Intelligence Introduction
Module 2: Domains of Artificial Intelligence
Module 3: Applications of Artificial Intelligence
Module 4: Limitations of Artificial Intelligence
Module 1: AI model deployment strategies
Module 2: Simple API deployment
Module 3: Creating website based on API deployed
Module 1: Introduction to CNN
Module 2: Image Processing fundamentals
Module 3: Convolution Filter Explanation
Module 1: Introduction to Image classification coding
Module 2: Keras code for classifying Cats and Dogs
Module 3: Creating predicting model with TensorFlow as backend.
Module 1: REST API
Module 2: FLASK Web framework
Module 3: API in Flask
Module 3: End to End Deployment
"The Data Science training offered at DataMites are structures. The concepts were explained with lots of clarity. The topics were taught with the help of case studies. With a team of knowledgeable faculty of trainers. Ashok Sir is a good mentor. I thank the DataMites team for supporting me in the learning process."
"I always wanted to explore the field of Data Science, Artificial Intelligence and Machine Learning. DataMites has helped me in doing so. The best part was method of training and upskilling they adopted. Many complicated topics were explained in detail, along with examples. There were seperate doubt clearing sessions, and the trainers were supportive."
"If you are looking for an institute for Data Science and Machine Learning training, you will not find a better one than DataMites. With the mentoring of Ashok Sir and team, I had the best experience in learning Data Science. The way concepts are taught to us, leavaes us thinking, as to how can such a colossal subject be broken down into simple parts. "
"My experience in DataMites was excellent. With knowledgeable trainers around to mentor you, it is nothing short of becoming a great learning experience. The training programs are well structured, along with an awesome classroom environment. DataMites has everything that you expect from a training institute. I recommend DataMites. "
DataMites™ has been focusing on building full Stack Data Science professionals with intense training that gives them all the tools, techniques, and core concepts needed to make a better impact in the Data World. DataMites™ Diploma in Data Science training is one such initiative focusing on young grads and fresher who are passionate about Data field and want to define their career in this fastest growing technology. This learning consists of all the essential areas such as Python, Statistics, Machine Learning, Time series foundation, Model deployment, Deep Learning, Tableau and Data Science business concepts that a Data scientists need to be specialized. It allows you to go through structured classroom training sessions regularly happening in Bangalore and lets you master the concepts under the guidance of industry experts.
DataMites™ Diploma in Data Science training is specially curated by industry experts to impart the best knowledge needed to kick start a most challenging Data Scientist role. Our course helps the fresher’s to
DataMites™ Diploma in Data Science training will transform the freshers to a Data Science expert and successfully add value to their career. With exposure to detailed industry-related projects and project mentoring, it turns them into an industry-ready Data Scientist. During this DataMites™ Diploma in Data Science course, you will be trained in the classroom by our experts to
DataMites™ is the top training provider accredited by the International Association of Business Analytics Certifications (IABAC) who is offering Data Science courses. DataMites™ Data Science classroom course comes with the following benefits
DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.
The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.
You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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