Online Python Data Science & Machine Learning

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Learn Data Science & Machine Learning concepts using Python. Classroom Training in Bangalore. and online classes.

The python data science course is designed by our core Data Scientist team, keeping aspirant Data Scientists in mind, it covers the Python for Data Science from the basic level of python programming till usage of advanced concepts like Data wrangling, Machine Learning and Data Visualization using the Python libraries like numpy, scipy, pandas, Matplotlib and scikit-learn. This course also covers Basic Statistical Concepts and advanced Modeling used in Data Science and Machine Learning.

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What would be learning from

Python Data Science & Machine Learning course

Course Agenda

      • Introduction to Analytics & Data Science.
      • Who are Data Scientists?
      • Need of Data Science and Machine Learning.
      • Why Python for data science?
      • Why Machine Learning?
      • Introduction to the basic Terminology & notations.
      • A roadmap of Building Analytical model for Data Science & Machine learning.
      • Starting with the journey in Python Programming
      • Installing Python
      • String Manipulation
      • Compound Datatypes
      • Conditional and Control Flow

Mini Project – 1

      • Functions
      • Error Handling
      • Object Oriented Programming
      • Regular Expressions
      • Database

Mini Project – 2

      • Installing Python Packages for Data Science.
      • Using the Anaconda Python Distribution and Package manager.
      • Installing packages for Scientific Computing, Data Science & Machine learning.
      • Installing NumPy
      • Python Numpy Arrays
      • numpy.zeros() and numpy.ones()
      • numpy.reshape()
      • numpy.hstack() and numpy.vstack()
      • numpy.asarray()
      • numpy.arange()
      • numpy.linspace() and numpy.logspace()
      • Indexing and Slicing NumPy Arrays
      • NumPy Statistical Functions
      • numpy.dot(): Dot Product
      • NumPy Matrix Multiplication with np.matmul()
      • Introduction to pandas
      • Importing Data with Pandas
      • Indexing DataFrames with Pandas
      • Indexing Using Labels in Pandas
      • Pandas Series Objects
      • Creating A DataFrame in Pandas
      • Pandas DataFrame Methods
      • DataFrame Math with Pandas
      • Boolean Indexing in Pandas
      • Pandas Plotting
      • Reading in and summarizing the data
      • Applying functions to Series in pandas
      • Applying functions to DataFrames in pandas
      • Grouping data
      • Aggregating values in groups
      • Plotting the results of the aggregation
      • Aggregating with multiple columns
      • Aggregating with multiple functions
      • Introduction to Machine Learning
      • Basic Statistical & Predictive Modelling concepts
      • Supervised and unsupervised learning models
      • Introduction to scikit-learn
      • Supervised Learning Models – Linear Regression, Logistic Regression
      • Decision Trees and Random Forest
      • Natural Language Processing (NLP)
      • Unsupervised Learning and Grid Search
      • Introduction to Data Visualization
      • Types of Plots and Seaborn Plots
      • Matplotlib Introduction
      • Types Of Plots
      • Bar Graph
      • Histogram
      • Scatter Plot
      • Area Plot
      • Pie Chart

More Information about Python & Data Science

Why Python for Data Science & Machine Learning

Online Python Data Science & Machine Learning 9

Because Python is most powerful yet simple. Python has become the most popular language used for data Science, machine learning & deep learning. Python is an open source framework which has a huge community of developer. Who contribute & contribute libraries for statistics, mathematics, Data Visualization, and machine learning.

There is a huge list of libraries used in AI and Data Science. Few are listed here like numpy, scipy, pandas, matplotlib, scikit-learn, plylearn2, Tensorflow, etc.

Machine learning is a Subfield of Artificial Intelligence(AI) and the most exciting field of computer science that involved self- learning algorithms that derived knowledge from the data in order to make predictions. The object of machine learning is to build intelligent machines to transform data into knowledge.

NumPy is the fundamental package for scientific computing with Python.

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in the rows of observations and columns of variables. Python DataFrames are used for data manipulation, Data cleaning and reshaping your data.

Scikit-learn is a python package for machine learning. Scikit-learn was initially developed by David Cournapeau as a Google summer of code project in 2007. It is one of the simple and efficient tools for data mining and data analysis. Built on NumPy, SciPy, and matplotlib & free for use.

It was introduced by John Hunter in the year 2002. Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It supports a very wide variety of graphs and plots namely – histogram, bar charts, power spectra, error charts, etc.

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CLASSROOM TRAINING

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Python Data Science Classroom Training has its advantages as you learn in a group, Will have group class, Personalized human touch with participants and trainer. you gain knowledge form trainer as well as from other participants.

ONLINE TRAINING

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Python Data Science online Training has its advantages as you learn from anywhere, Instructor-Led online Python Data Science is as good as classroom training. Assignment and Practice tests are shared for every topic. Get a free demo.

FAST-TRACK TRAINING

Python Data Science & Machine Learning Fasttrack training .
its advantages as you complete Training fast with one to one trainer interaction Fasttrack Python Data Science & Machine Learning Training is delivered via classroom and online mode. where you will attend long hour customized Training as per your requirements.

CORPORATE TRAINING

,Python Data Science & Machine Learning Training at your location. If you are looking to train your team in Python. We can help you to deliver a fully customized Python Data Science Corporate Training by our expert trainers at your location across India. Send us your Requirement at chandan@technovids.com

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Technovids provides the most comprehensive and updated Python Training in Bangalore for Data Science and Machine Learning. Our Expert Trainers have designed Data Science Training Course as per the Industry standard, so that soon after completing your course, you will be in a position to kick start your career in Artificial Intelligence (AI) Field as Data Scientist or similar position.

Technovids Data Science Training program is designed for everyone, if you are new to the Analytics Field, you can start learning analytics and Data Science courses in a learning path to become data Scientist. A career in business analytics & Data science can be started with having good knowledge of Microsoft Excel, SQL Queries, ETL tools or other analytics tools like R, SPSS. Courses offered by Technovids offers the most comprehensive Data science training to help infants/aspiring Data Scientists learn the right subject and opt for the most favorable career as a “Data Scientist”.

For delivering any Training it is obvious that Trainer must have Sound knowledge in the Subject and also should adopt the excellent training Methodology so that he/she can reach learners’ expectations.

We at Technovids choose the handpicked Data Science Trainers whether it is Data Science Classroom session or Data Science online training. Our all Data Science trainers are good at all advanced concepts of Data Science and also having 8-10 years of working experience in the industry. Other than Data Science they are also having knowledge in other data analysis tools like R, python Tableau, Qlikview or Power BI. Data Science Corporate Training is available at various major cities of India like Bangalore, Chennai, Hyderabad, Mumbai, Pune. Technovids has the pool of well-experienced trainers at all these locations with excellent training skills of taking classes for a team.

As per the expert Advice with the working Knowledge in Data Science & Machine Learning using Python, users can upgrade their skills with Deep learning using TensorFlow-Python, Keras-Python & PyTorch-Python. This can be a gateway to the ocean of opportunities across industries, Like Intel, Google, Facebook, Netflix and many more.

Anyone Can learn Python Data Science course with very minimal knowledge in programming. Also, users who have basic knowledge of Microsoft Excel and keen to learn Advanced Data Visualization and Business Intelligence can do this training in the online, classroom mode also Instructor-Led Corporate onsite Training classes.

Every training is accompanied by a hands-on project. As a part of Data Science Training, we cover at least 2-3 projects during the training. Apart from this, every concept is explained with the relevant example and suitable exercise, which helps participants to understand and execute fast.

We always ask to share the continuous feedback after each and every session. In the case of individuals if the participant is not happy with the training and if he notifies us – Technovids will help to get the instructor change and will try to fill in the gap between expectation and the delivery of the training.

Technovids is a state of art training institute for Data Science, Data Analytics and Data Visualization, we provide a wide range of online and classroom training for individuals and enterprise, like Data Science using R & python, Machine learning, Deep learning, SAS, Tableau, QlikView, Spotfire, Microstrategy. feel free to reach us for more details and current offers available.

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