Job Oriented Python Training in Bangalore
We understand that learning Python can be challenging, especially if you’re new to programming. That’s why we provide a supportive and friendly learning environment that encourages collaboration and creativity. Our instructors are passionate about Python and are dedicated to helping you achieve your programming goals.
- Placement Assistance
- Flexible Timings
- Updated Course Curriculum -- 2023
- Hands-on training with live projects
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Job Oriented Data Science Course Trining in Bangalore
Looking for best data science training institute in Bangalore? You’re in the right place. Here at Indras Academy, we are committed to empower you with our world-class data science curriculum, industry-leading faculty and real life project experience. Join us today and start your journey to becoming a data science expert!
Best Python Course in Bangalore
Welcome to our Python Course in Bangalore! At our Python Course in Bangalore, we provide comprehensive and practical training for students who want to learn one of the most popular programming languages in the world. Whether you’re new to programming or an experienced developer, our team of expert instructors will teach you the skills you need to become a proficient Python programmer.
- No prior Experience or Knowledge Required
- Designed for Working Professionals/Students
- 100% job assistance
- Learn & Work on Real-world Projects
- Structured guidance by experts
Explore Our Comprehensive Course Curriculum Today
If you’re in search of top-notch Python training in Bangalore, look no further than our institute! Our experienced faculty and state-of-the-art facilities ensure that you receive the best Python training in the city. With our comprehensive curriculum and hands-on approach, you’ll quickly gain the knowledge and skills needed to become a Python expert.
Programming Basics & Environment Setup
- Installing Anaconda
- Anaconda Basics and Introduction
- Get familiar with version control, Git and GitHub.
- Basic Github Commands.
- Introduction to the Jupyter Notebook environment.
- Basics Jupyter notebook Commands.
- Programming language basics.
- Python Overview
- Python 2.7 vs Python 3
- Writing your First Python Program Lines and Indentation
- Python Identifiers
- Various Operators and Operators Precedence
- Getting input from User, Comments, Multi line Comments.
- Working with Numbers, Booleans and Strings
- String types and formatting
- String operations Simple if Statement, if-else Statement if-elif Statement.
- Introduction to while Loops.
- Introduction to for Loops
- Using continue and break.
- Class hands-on: programs/coding exercise on string, loop and conditions in the classroom.
- List, Tuples, Dictionaries Python Lists, Tuples, Dictionaries
- Accessing Values, Basic Operations Indexing, Slicing, and Matrixes Built-in Functions & Methods.
- Exercises on List, Tuples And Dictionary
- Class hands-on: Program to convert tuple to dictionary Remove Duplicate from Lists
- Python program to reverse a tuple Program to add all elements in list.
- Introduction To Functions
- Why Defining Functions
- Calling Functions
- Functions With Multiple Arguments.
- Anonymous Functions
- Lambda Using Built-In Modules
- User-Defined Modules
- Module Namespaces
- Iterators And Generators.
- Opening and Closing Files
- open Function, file Object Attributes close() Method ,Read, write,seek.
- Exception Handling, try-finally Clause Raising an Exceptions, User-Defined Exceptions.
- Regular Expression- Search and Replace Regular Expression Modifiers Regular Expression Patterns.
- Introduction to Numpy.
- Array Creation,Printing Arrays
- Basic Operation -Indexing, Slicing and Iterating
- Shape Manipulation - Changing shape,stacking and splitting of arrays.
- Vector stacking, Broadcasting with Numpy, Numpy for Statistical Operation.
- Pandas : Introduction to Pandas Importing data into Python
- Pandas Data Frames, Indexing Data Frames
- ,Basic Operations With Data frame,Renaming Columns,Subletting and filtering a data frame.
- Introduction,plot(),Controlling Line
- Properties,Subplot with Functional Method, MUltiple Plot, Working with Multiple Figures,Histograms Seaborn :
- Intro to Seaborn And Visualizing statistical relationships
- Import and Prepare data
- Plotting with categorical data and Visualizing linear relationships
- Seaborn Exercise
Fundamentals of Math and Probability
- Basic understanding of linear algebra, Matrics, vectors.
- Addition and Multiplication of matrices.
- Fundamentals of Probability
- Probability distributed function and cumulative distribution function.
- Class Hand-on Problem solving using R for vector manipulation.
- Problem solving for probability assignments.
The mean,median,mode, curtosis and skewness Computing Standard deviation and Variance.
Types of distribution.
Class Handson: 5 Point summary BoxPlot Histogram and Bar Chart Exploratory analytics R Methods.
What is inferential statistics Different types of Sampling techniques Central Limit Theorem.
Point estimate and Interval estimate.
Creating confidence interval for population parameter Characteristics of Z-distribution and T- Distribution.
Basics of Hypothesis Testing Type of test and rejection region Type of errors in Hypothesis resting.
Type-l error and Type-ii errors P-Value and Z-Score Method T-Test, Analysis of variance(ANOVA) and Analysis of Covariance(ANCOVA) Regression analysis in ANOVA.
Class Hands-on: Problem solving for C.L.T Problem solving Hypothesis Testing Problem solving for T-test, Z-score test Case study and model run for ANOVA.
Basics of Hypothesis Testing Type of test and Rejection Region
Type o errors-Type 1 Errors,Type 2 Errors
P value method,Z score Method.
The Chi-Square Test of Independence Regression
Factorial Analysis of Variance
Pearson Correlation Coefficients in Depth Statistical Significance, Effect Size, and Confidence Intervals
Introduction to Data Cleaning
Data Preprocessing What is Data Wrangling?
How to Restructure the data? What is Data Integration?
Data Transformation
EDA : Finding and Dealing with Missing Values.
What are Outliers? Using Z- scores to Find Outliers.
Introduction to Bivariate Analysis,Scatter Plots and Heatmaps.
Introduction to Multivariate Analysis
Introduction To Machine Learning
What is Machine Learning?
Introduction to Supervised and Unsupervised Learning
Introduction to SKLEARN (Classification, Regression, Clustering, Dimensionality reduction, Model selection, Preprocessing)
What is Reinforcement Learning?
Machine Learning applications
Difference between Machine Learning and Deep Learning
Support Vector Machines Linear regression
Logistic Regression Naive Bayes
Linear discriminant analysis Decision tree
k-nearest neighbor algorithm Neural Networks (Multilayer perceptron)
Similarity learning
Introduction to Linear Regression
Linear Regression with Multiple Variables
Disadvantage of Linear Models
Interpretation of Model Outputs
Understanding Covariance and Collinearity
Understanding Heteroscedasticity
Case Study – Application of Linear Regression for Housing Price Prediction
Why Choose Indras Academy for Python Training?
At Indra’s Academy, our Python course is designed to equip candidates with practical skills in using Python techniques. Our expert trainers have extensive experience working in the corporate world and understand the real-world demands of Python in the job market. As a result, we offer hands-on training with live projects.
- 100% job assistance
- Certified trainers
- 1000+ Career Transitions
- Online as well as offline classes
- Learn from Industry Experts.
- Resume Building Sessions
Course Options
Live Virtual
Instructor Led Live Online
₹49,999 ₹28,000
- Flexible pricing options
- Designed for Working Professionals/Students
- Real-life Case Studies
- Assignments
- Certification
Classroom
In - Person Classroom Training
₹59,999 ₹30,000
- Flexible pricing options
- Designed for Working Professionals/Students
- Real-life Case Studies
- Assignments
- Certification
PYthon Course Job Roles
Python is a versatile programming language that can be used in many different industries and job roles. Here are some job roles within Python
Career after Data Science Training
Data Science is one of the most rapidly growing sectors in the technology market.
- Various sectors like advertising, marketing, big data, robotics, security, artificial intelligence, etc are using Data Science to a great extent.
- Hence, Glassdoor has predicted that Data Science will be one of the most demanded jobs in coming years.
- Since companies generate huge amounts of data but do not have expertise in processing the data, there is a big void between the demand and supply of data scientists.
- Though data science is a technology-based sector, Indra's Academy makes sure that all the concepts get cleared on online courses as well.
- Since data scientists must have hands-on exposure to key technologies including R, Python, Tableau, Hadoop, and Spark; the profile is in great demand.
Industry Recognized Certification
After completing the course, Indra’s Academy Bangalore offers an industry recognised certificate that will give you a hike in your career.
Frequently Asked Questions.
While prior programming experience is not required, it can be helpful. This course is designed to teach Python from the ground up, so even if you have no programming experience, you can still learn and succeed in the course.
The amount of time required will vary depending on the course, your prior experience, and your personal learning style. However, a general rule of thumb is to expect to spend 2-3 hours per week for a basic level course, and 4-6 hours per week for an advanced level course.
You can expect to receive support from the instructor and/or teaching assistants. This may include feedback on assignments, answering questions in class or through a forum, and office hours for one-on-one support.
As mentioned earlier, Indra's Academy not only offers excellent coaching to students but also makes sure each candidate gets equal opportunity to interview in well-known organizations. We deliver 100% job assistance with a minimum of 30 interviews.
After completing this course, you should have a strong understanding of Python and be able to use it to complete a variety of tasks, depending on the course focus. This may include building web applications, analyzing data, implementing machine learning algorithms, or developing software applications.
The average salary of a Python developer can vary depending on factors such as experience, location, industry, and company size.
The projects in this course will vary based on the course focus and level, but they will all be designed to help you apply what you've learned in real-world scenarios. Examples of projects include building a web application, analyzing data with Python libraries, or implementing a machine learning algorithm.
Do I get a job after doing this course?
Definitely! Data Science is the leading technology in automation, machines, marketing, and whatnot. There are millions of job opportunities for data scientists.
- Since data science involve extreme technical skillset, companies are looking for experts
- Candidates having data science certifications from reputed training centres are preferred
- Brands like IBM, Google, Facebook, Infosys, TCS, etc are having major job vacancies for data scientists
- Candidates having high skills of data science, get opportunities to fetch valuable insights from rough data
- The Data Science Market in India is estimated to be worth 6 million dollars by the year 2025
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Upcoming Batch Details
We provide flexible batch timings to all our students. if this schedule does’t match feel free to contact us we will try to schedule appropriate timings based on your flexible timings.
Batch 1
7:30 am - 8:30 am
Batch 3
9:30 am - 10:30 am
Batch 2
8:30 am - 9:30 am
Batch 4
10:30 am - 11:30 am
Get In Touch
Contact Us
- Indrasacademy 45, varthur main road, 2, Tulsi Theater Rd, Marathahalli Village, Marathahalli, Bengaluru, Karnataka 560067
- Phone: +91 81972 24940
- Email: indrasacademy@gmail.com
Our Training Centers
Do you want to learn data science? Bangalore is the perfect place to do it! We offer leading data science training that will help you get the skills and knowledge you need to succeed in this growing field. Contact us today to learn more about our data science training program.