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AI-Powered Job-Oriented
Data Science
Training in Bangalore
Indras Academy offers premier AI-Powered Job-Oriented Digital Marketing Training in Bangalore. Our expert-led courses are designed to equip you with practical skills and AI-driven strategies, paving the way for a rewarding career in digital marketing.
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Tools You’ll Master in Our Digital Marketing Program
Data science Syllabus
Python
Module
Programming Basics & Environment Setup
Programming Basics & Environment Setup
2 Live Sessions
1 Assessment
Topics:
- 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.
Module
Strings, Decisions & Loop Control
Strings, Decisions & Loop Control
2 Live Sessions
1 Assessment
Topics:
- 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, for
- Loops, Using continue and break
Module
Python Data Types
Python Data Types
2 Live Sessions
1 Assessment
Topics:
- 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
Module
Functions And Modules
Functions And Modules
2 Live Sessions
1 Assessment
Topics:
- Introduction To Functions
- Defining & Calling Functions
- Functions With Multiple Arguments
- Anonymous Functions - Lambda
- Using Built-In Modules, User-Defined
- Modules, Module Namespaces,
- Iterators And Generators
Module
File I/O An d Exceptional Handling and
Regular Expression
File I/O An d Exceptional Handling and
Regular Expression
2 Live Sessions
1 Assessment
Topics:
- 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
Module
Data Analysis Using Numpy
Data Analysis Using Numpy
2 Live Sessions
1 Assessment
Topics:
- Introduction to Numpy. Array Creation, Printing Arrays, Basic Operation - Indexing, Slicing and Iterating, Shape Manipulation - Changing shape, stacking and splitting of array
- Vector stacking, Broadcasting with Numpy, Numpy for Statistical Operation
Module
Data Analysis Using Pandas
Data Analysis Using Pandas
2 Live Sessions
1 Assessment
Topics:
- Pandas : Introduction to Pandas
- Importing data into Python
- Pandas Data Frames, Indexing Data Frames ,Basic Operations With Data frame, Renaming Columns, Subsetting and filtering a data frame.
Module
Data Visualization using Seaborn
Data Visualization using Seaborn
2 Live Sessions
1 Assessment
Topics:
- Seaborn: Intro to Seaborn And Visualizing statistical relationships, Import and Prepare data. Plotting with categorical data and Visualizing linear relationships.
- Seaborn Exercise
Module
Exercises
Exercises
2 Live Sessions
1 Assessment
Topics:
- 3 Case Study on Numpy, Pandas
- 1 Case Study on Pandas And Seaborn
Statistics
Module
Introduction to Statistics
Introduction to Statistics
2 Live Sessions
1 Assessment
Topics:
- Variable and its types
- Quantitative, Categorical, Discrete, Continuous
- Outliers, Causes of Outliers, How to treat Outliers, I-QR Method and ZScore Method
Module
Fundamentals of Math and Probability
Fundamentals of Math and Probability
2 Live Sessions
1 Assessment
Topics:
- Probability distributed function & cumulative distribution function.
- Conditional Probability, Baye's Theorem
- Problem solving for probability assignments
- Random Experiments, Mutually Exclusive Events, Joint Events, Dependent & Independent Events
Module
Inferential Statistics
Inferential Statistics
2 Live Sessions
1 Assessment
Topics:
- Central Limit Theorem
- Point estimate and Interval estimate
- Creating confidence interval for population parameter
Module
Descriptive Statistics
Descriptive Statistics
2 Live Sessions
1 Assessment
Topics:
- Measures of Central Tendency – Mean, Median and Mode
- Measures of Dispersion – Standard Deviation, Variance, Range, IQR (Inter-Quartile Range)
- Measure of Symmetricity/ Shape – Skewness and Kurtosis
Module
Inferential Statistics
Inferential Statistics
2 Live Sessions
1 Assessment
Topics:
- Characteristics of Z-distribution and T-Distribution.
- Type of test and rejection region
- Type of errors in Hypothesis Testing
Module
Hypothesis Testing
Hypothesis Testing
2 Live Sessions
1 Assessment
Topics:
- 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
- Null and Alternative Hypothesis Onetailed and Two-tailed Tests, Critical Value, Rejection region, Inference based on Critical Value
- Binomial Distribution: Assumptions of Binomial Distribution, Normal Distribution, Properties of Normal Distribution, Z table, Empirical Rule of Normal Distribution & Central Limit Theorem and its Applications
Machine Learning
Module
Data Preprocessing
Data Preprocessing
2 Live Sessions
1 Assessment
Topics:
- Types of Missing values (MCAR, MAR, MNAR), Methods to handle missing values
- Outliers, Methods to handle outliers: IQR Method, Z Method
- Feature Scaling: Definition , Methods: Absolute Maximum Scaling, Min-MaxScaler, Normalization, Standardization, Robust Scaling
Module
Logistic Regression Model
Logistic Regression Model
2 Live Sessions
1 Assessment
Topics:
- Definition. Why is it called the “Regression model”?
- Sigmoid Function, Transformation & Graph of Sigmoid Function
Module
Evaluation Metrics for Classification
Evaluation Metrics for Classification
2 Live Sessions
1 Assessment
Topics:
- Misclassification, TPR, FPR, TNR, Precision, Recall, F1 Score, ROC Curve,and AUC. Using Python library Sklearn to create the Logistic Regression Model and evaluate the model created model
Module
Decision Tree Model
Decision Tree Model
2 Live Sessions
1 Assessment
Topics:
- Definition, Basic Terminologies, Tree Splitting Constraints, Splitting
- Splitting Methods: - GINI, Entropy, Chi-Square, and Reduction in Variance
- Using Python library Sklearn to create the Decision Tree Model and evaluate the model created
Module
Random Forest Model
Random Forest Model
2 Live Sessions
1 Assessment
Topics:
- Ensemble Techniques: Bagging/bootstrapping & Boosting.
- Definition of Random Forest, OOB Score
- K-Fold Cross-Validation
Module
Naive Baye’s Model
Naive Baye’s Model
2 Live Sessions
1 Assessment
Topics:
- Definition, Advantages, Baye's Theorem Applicability, Disadvantages of Naive Baye's Model, Laplace's Correction, Types of Classifiers: Gaussian, Multinomial and Bernoulli
- Using Python library Sklearn to create the Naive Baye's Model and evaluatethe model created
Module
K Means and Hierarchical Clustering
K Means and Hierarchical Clustering
2 Live Sessions
1 Assessment
Topics:
- Definition of Clustering, Use cases of Clustering
- K Means Clustering Algorithm,Assumptions of K Means Clustering
- Sum of Squares Curve or Elbow Curve
Module
Machine Learning Exercises
Machine Learning Exercises
2 Live Sessions
1 Assessment
Topics:
- Business Case Study for Kart Mode
- Business Case Study for Random Forest
- Business Case Study for SVM
- Business Case Study for Linear Regression
- Business Case Study for Logistic Regression
- Business Case Study for KMean Cluster
Time Series
Module
Introduction to Time Series Forecasting
Introduction to Time Series Forecasting
2 Live Sessions
1 Assessment
Topics:
- Basics of Time Series Analysis and Forecasting
- Method Selection in Forecasting
- Moving Average (MA) Forecast Example
- Different Components of Time Series Data
- Log Based Differencing, Linear Regression for Detrending
Module
Introduction to ARIMA Models
Introduction to ARIMA Models
2 Live Sessions
1 Assessment
Topics:
- ARIMA Model Calculations, Manual ARIMA Parameter Selection
- ARIMA with Explanatory Variables
- Understanding Multivariate Time Series and their Structure
- Checking for Stationarity and Differencing the MTS
NLP
Module
Natural Language Processing
Natural Language Processing
2 Live Sessions
1 Assessment
Topics:
- Text Analytics
- Introduction to NLP
- Use cases of NLP algorithms
- NLP Libraries
- Need for Textual Analytics
- Applications of NLP
- Word Frequency Algorithms for NLP Sentiment Analysis
Module
Text Analysis
Text Analysis
2 Live Sessions
1 Assessment
Topics:
- Distance Algorithms used in Text Analytics
- String Similarity
- Cosine Similarity Mechanism
- The similarity between two text documents
- Levenshtein distance - measuring the difference between two sequences
Module
Understanding Keras API for implementing
Neural Networks
Understanding Keras API for implementing
Neural Networks
2 Live Sessions
1 Assessment
Topics:
- Information Retrieval Systems
- Information Retrieval - Precision,
- Recall,F- score TF-IDF
- KNN for document retrieval
- K-Means for document retrieval
- Clustering for document retrieval
Module
Text Pre Processing Techniques
Text Pre Processing Techniques
2 Live Sessions
1 Assessment
Topics:
- Need for Pre-Processing
- Various methods to Process the Textdata
- Tokenization, Challenges inTokenization
- Stopping, Stop Word Removal
Module
Stemming
Stemming
2 Live Sessions
1 Assessment
Topics:
- Stemming - Errors in Stemming
- Types of Stemming Algorithms - Table
- Lookup Approach
- N-Gram Stemmers
Module
Use cases on NLP
Use cases on NLP
2 Live Sessions
1 Assessment
Topics:
- Sentiment Analysis
- Content summarization
SQL
Module
RDBMS And SQL Operations
RDBMS And SQL Operations
2 Live Sessions
1 Assessment
Topics:
- Introduction To RDBMS
- Single Table Queries - SELECT, WHERE,ORDER BY, Distinct, And, OR
- Multiple Table Queries: INNER, SELF,CROSS, and OUTER, Join, Left Join, Right Join, Full Join, Union
Tableau
Module
Introduction to Tableau
Introduction to Tableau
2 Live Sessions
1 Assessment
Topics:
- Connecting to data source
- Creating dashboard pages
- How to create calculated columns
- Different charts
- Hands-on : -Hands on on connecting data source and data cleansing -Hands on various charts
Module
Dashboard and Stories
Dashboard and Stories
2 Live Sessions
1 Assessment
Topics:
- Working in Views with Dashboards and Stories
- Working with Sheets
- Fitting Sheets
- Legends and Quick Filters
- Tiled and Floating Layout
- Floating Objects
Industry Recognized Certification From Indras Academy
Course Completion
Internship Certificate
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Affordable Digital Marketing Course Fees
We believe that our digital marketing course fees are competitive and affordable, while still providing the highest quality training and support.
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Live Virtual
Instructor Led Live Online
- 100% Job Support
- Learn 21+ Modules
- 3 Months Program
- 10+ Certifications
- Work on Live Projects
- 50+ Tools & Case Studies
₹29,999
₹23,900
Live Virtual
Instructor Led Live Online
- 100% Job Support
- Learn 21+ Modules
- 3 Months Program
- 10+ Certifications
- Work on Live Projects
- 50+ Tools & Case Studies
₹29,999
₹23,900
Who Should Enroll in this Course?
There are numerous careers available in Digital Marketing for students and professionals from all backgrounds from creative to technical.
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Work on Real-Time Projects
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Covered Tools
Tools You’ll Master in Our Digital Marketing Program
Indras Academy
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Our graduates collaborate with renowned brands across various sectors, showcasing their expertise in digital marketing strategies, SEO optimization, social media management, and more.
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.
Micheal Keni
Founder
About Chairman
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Build Your Portfolio with 14+ Job-Oriented Certifications
When you complete our digital marketing course, you will receive guidance and support to prepare for these certifications. Our experienced instructors will provide you with the knowledge and skills you need to pass these exams and earn your certifications.
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Use GA4 with Other Tools and Data Sources
Who Should Enroll in this Course?
There are numerous careers available in Digital Marketing for students and professionals from all backgrounds from creative to technical.
Students & Graduates
Content Creators & Bloggers
Small Business Owners
Small Business Owners
Freelancers
Homemakers
Career Changers
Freelancers
Student Placements
There are numerous careers available in Digital Marketing for students and professionals from all backgrounds from creative to technical.
Hari Krishnan
Fresher
digital marketing executive
8.6 LPA
Yashas Uthaiah Panjerira
Fresher
Digital Marketing
5.6 LPA
Naveen
Fresher
Digital Marketing
10.2 LPA
Abhishek
Fresher
Digital Marketing
7.6 LPA
Mani Nayak
Fresher
Digital Marketing
5.6 LPA
Rupika
Fresher
Digital Marketing
7.6 LPA
Exclusive Premium Bonuses at Indras Academy
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Social Media Calendar
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₹3500
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5000+
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Bonus 4
4000+
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6000+
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Digital Marketing Programs
Our academy offers a mix of practical workshops, virtual classrooms, and project-based learning.
Hybrid
RPA UiPath
Learn to design and implement automated processes, reducing costs and enhancing efficiency across industries
- Duration - 5 Weeks
- Course Fees - 15000
Online
Data Science
Gain expertise in Python, Machine Learning, Data Visualization, and AI to solve real-world problems
- Duration - 4 Months
- Course Fees - 39000
Online
Digital Marketing
Master the art of online branding with our Digital Marketing course in Bangalore
- Duration - 4 Months
- Course Fees - 35000
FAQ’s
Learn from expert trainers in a state-of-the-art environment with personalized attention,
What is the duration of the digital marketing course?
Indra’s Academy has courses scheduled for different candidates; students, working professionals, job aspirants, etc. Our aim is to get you ready in the minimum time possible and hence, the course duration is only 3 months. To know more, simply call us on the given number in contact details.
What is the duration of the digital marketing course?
Indra’s Academy has courses scheduled for different candidates; students, working professionals, job aspirants, etc. Our aim is to get you ready in the minimum time possible and hence, the course duration is only 3 months. To know more, simply call us on the given number in contact details.
What is the duration of the digital marketing course?
Indra’s Academy has courses scheduled for different candidates; students, working professionals, job aspirants, etc. Our aim is to get you ready in the minimum time possible and hence, the course duration is only 3 months. To know more, simply call us on the given number in contact details.
What is the duration of the digital marketing course?
Indra’s Academy has courses scheduled for different candidates; students, working professionals, job aspirants, etc. Our aim is to get you ready in the minimum time possible and hence, the course duration is only 3 months. To know more, simply call us on the given number in contact details.
What is the duration of the digital marketing course?
Indra’s Academy has courses scheduled for different candidates; students, working professionals, job aspirants, etc. Our aim is to get you ready in the minimum time possible and hence, the course duration is only 3 months. To know more, simply call us on the given number in contact details.
Get Course Info
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Success Stories
Be inspired by the accomplishments of our students who turned their passion into successful careers.
I had no prior knowledge of digital marketing, but Indras Academy made it so easy to understand and apply. The course covered everything I needed, from SEO basics to advanced social media strategies. The best part was the hands-on projects that helped me see immediate results. The support from the trainers was exceptional, and they provided valuable feedback that boosted my confidence. Thanks to Indras Academy.
Leo
UX/UI Designer
The digital marketing course at Indras Academy exceeded my expectations. The curriculum is practical and up-to-date with industry trends. I loved the step-by-step approach and how the lessons were broken down into manageable sections. Thanks to Indras Academy, I highly recommend this course to anyone looking to develop real digital marketing skills
Leo
UX/UI Designer
Indras Academy provided an outstanding learning experience. The course is well-structured, and the trainers go above and beyond to make sure you truly understand the concepts. I now feel confident in my ability to implement digital marketing strategies for any clients. The hands-on approach and real-world examples were invaluable. I’ve already started applying what I’ve learned to help my clients grow their brands. Thank you, Indras Academy.
Leo
UX/UI Designer
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