Data Science Classes near me in Yelahanka, Bangalore

Samarth one of the Best Oracle and Python trainer in PAN India, successfully train and placed 200+ students. Reputation of IGNTED MINDS is placing 25+ students every month and tied with my industry hiring patters. He carries 15+ years exp in Database development , Big Data Analytics and publisher of many oracle performance tuning white papers. Currently he is leading Data Analytics platform on Pyspark and delivering solution for many top MNC in Globe. All training classes are conducted with lot of deep concepts, examples and real time projects. at the end of the training resumes will be prepared and will be helping with interviews and also hiring for internal projects. Courses Conduct by Samarh Oracle SQL PLSQL and Performance Tuning Data Science Python for Data science BIG DATA Pyspark

A data enthusiast , certified in google cloud. I have a passion of training people and interacting with people.i have expert level knowledge in python along with using python for data analysis and machine learning.

I have total 12+ years of experience working in IT Industry for various companies. I have started training people on software development and data sciencd/Machine Learning as I love to share my knowledge abd experience. I have trained around 36000 students from 150+ countries through online courses.

Highly motivated corporate trainer with experience in training small and large groups across diverse industries. Proven success in leveraging educational theories and methodologies to design, develop, and deliver successful training programs and integrate instructional technology to provide onsite and virtual training. Adept at organizing and facilitating management and team building training programs and activities.

Lesson 1—Data Science Overview Know what Data Science is Discuss the roles and responsibilities of a Data Scientist List various applications of Data Science Understand how Data Science and Big Data work together Explore Data Science as a discipline What You’llLearn Understand how and why Data Science is gaining importance Understand what Python is and what problems it resolves Lesson 2 –Data Analytics Overview Data Analytics process and its steps Skills and tools required for Data Analysis Challenges of the Data Analytics Process Data visualization techniques Hypothesis testing to analyze data Exploratory Data Analysis technique (EDA) Lesson 3 –Statistical Analysis and Business Applications The difference between statistical and non-statistical analysis The statistical analysis process Mean, median, mode, and percentile Hypothesis testing and the Chi square test Types of frequencies Data distribution and the various methods of representing it The two major categories of statistical analysis and their differences Correlation matrix and its uses Lesson 04—Python: Environment Setup and Essentials How to install Anaconda and Jupyter notebook Some of the important data types supported by Python Data structures such as lists, tuples, sets, and dicts Slicing and accessing the four data structures Few basic operators and functions What You’ll Learn Some important control flow statements Lesson 5—Mathematical Computing with Python (NumPy) What NumPy is and why it is important Basics of NumPy, including its fundamental objects Create and print a NumPy array Use shape manipulation and copying methods Execute linear algebraic functions Carry out basic operations in NumPy Lesson 06—Python: Scientific computing with Python (SciPy) Why SciPy is needed The characteristics of SciPy The sub-packages of SciPy What You’ll Learn SciPy Sub-packages such as Optimization, Integration, Linear Algebra, Statistics, Weave, and IO Lesson 7—Data Manipulation with Pandas Pandas and its features Creating Series and DataFrame with data inputs Learning how to handle missing values Handling vectorized operations Viewing, selecting, and accessing elements in a data structure Analyzing data with different data operation methods Lesson 8—Machine Learning with Scikit–Learn What machine learningis and why it is important The machine learning approach Relevant terminologies that help you understand a dataset Features of supervised and unsupervised learning models Algorithms such as regression, classification, clustering, and dimensionality reduction Lesson 9 —Natural Language Processing (NLP) with SciKit Learn What is Natural Language Processing How Natural Language Processing is helpful Modules to load content and category Applying feature extraction techniques

I am a Data Scientist. I have been providing online data science solutions and consultation since 2023. I am certified in Machine Learning and Data Analytics. I have a degree in Computer Science. My key skills are Python, SQL, Pandas, Power BI, scikit-learn, and data visualization. My accomplishments include developing end-to-end ML models for startups, automating reports for business clients, and improving operational efficiency through data insights. I help clients make informed decisions by turning raw data into actionable strategies.

I am Radhakrishan, and I hope all of you are fine. If you are looking to learn Python, then, you have visited the right person. I am freelancer and hold expertise in Python, Data Science, Java, Android , Statistics and Machine Learning. Students will be made to solve challenging work, and completion of projects, such as Poker Games, Neural Network Tic Tac Toe or IoT based Android App.

I am a highly motivated corporate trainer with experience in training small and large groups across diverse industries. Proven success in leveraging educational theories and methodologies to design, develop, and deliver successful training programs and integrate instructional technology to provide onsite and virtual training. Adept at organizing and facilitating management and team building training programs and activities. I have more than Two & half decade of diversified experience in IT training, soft skill training, learning and development, talent acquisition, staffing, HRD content development spread across various reputed training organizations, colleges and well known universities in India. I’ am also a certified ITIL (IT Infrastructure Library) trainer and a life coach.

I have 8 years of IT experience from the past 4 years I am working as a Data Scientist. My experience includes Statistical modelling, predictive modelling, NLP, text mining, python, and SQL.