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1000+ Students Placed


Average salary hike 40%


Highest salary 25 LPA


Five star rating
OUR CORPORATE CLIENTS
100+ Client companies, still counting
We have already associated with more than 100 companies as a part of our training and recruitment programs and are in the process of having more tie-ups. This includes MNCs, major IT enterprises, and top start-ups. With such a huge client base, we are a trusted name in the field of corporate training. Our excellent placement record is also the result of this hard-earned experience. We understand the specific requirements of different companies and design our syllabus accordingly.
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What Makes
Peopleclick Learning Institute
a Best Choice?
Expert Faculty
Our experienced instructors bring a wealth of real-world expertise to the classroom. Learn from professionals who have mastered the ins and outs of SAP FICO.
Real-Time Projects
To bridge the gap between theory and practical application, many training institutes include real-world projects and scenarios in their curriculum.
Hands-On Training
Theory comes to life through practical, hands-on sessions. Work on real-world scenarios and projects to reinforce your understanding and build your confidence.
Comprehensive Curriculum
Our curriculum covers everything you need to know about SAP Financials and Controlling, from basics to advanced skills, ensuring you're prepared for what employers require.
100% Placement Support
We're not just about training; we're invested in your success. Benefit from our strong industry connections and receive guidance in securing rewarding job opportunities.
Flexible Learning Formats
Discover a learning experience that adapts to your life. We have online and classroom training that empowers you to pursue education without compromising your commitments.
From Learners To Achievers: Hear it form Our Students
Data analytics training was enriching. The practical approach and real-world applications made the concepts crystal clear. I secured a job, all thanks to the skills I gained from this course
Amar
The data analytics course from Peopleclick Learning was exceptional. I gained practical insights into data manipulation and visualization techniques. Thanks to Peopleclick Learning
Keerthy
Highly recommend the Data science training. The course structure and hands-on projects were invaluable for mastering data interpretation. I not only mastered the subject but also secured a job
Kavya
Data analytics training was enriching. The practical approach and real-world applications made the concepts crystal clear. I secured a job, all thanks to the skills I gained from this course
Amar
The data analytics course from Peopleclick Learning was exceptional. I gained practical insights into data manipulation and visualization techniques. Thanks to Peopleclick Learning
Keerthy
Highly recommend the Data science training. The course structure and hands-on projects were invaluable for mastering data interpretation. I not only mastered the subject but also secured a job
Kavya
OUR PLACED STUDENTS
Kanmani
SQL Developer
Goutham
project Engineer
Lokesh
Data Scientist
Jithin
Data Analyst
Kanmani
SQL Developer
Goutham
project Engineer
Lokesh
Data Scientist
Jithin
Data Analyst
Unlocking the Power of Data Science and Analytics Training in Bangalore
In today's data-driven world, the significance of data science and analytics training cannot be overstated. These fields are pivotal in harnessing the potential of data to drive business decisionmaking, provide insights, and create a competitive edge in various industries. Peopleclick Learning, the best institute for Data Science and Data Analytics Training in Bangalore recognizes the paramount importance of data science and analytics and offers an array of courses designed to empower individuals with the knowledge and skills required to excel in these rapidly evolving domains. With a strong emphasis on practical learning, we equip you with the expertise needed to thrive in the world of data analytics, data science, machine learning, and artificial intelligence.

After completing Data analytics Course in Bangalore, you will gain a competitive edge and access to a world of exciting opportunities. Here's what you can look forward to:
  • Diverse Career Options: With a strong foundation in data science and analytics, you can embark on diverse career paths.
  • Informed Decision-Making: You'll have the ability to make data-driven decisions. Whether you work in business, healthcare, finance, or any other field, your expertise in data analysis will enable you to provide valuable insights and drive strategic decisions.
  • Lucrative Salaries: Data professionals are in high demand, and your skills will be rewarded with competitive salaries. In Bangalore, a city known for its thriving tech sector, your earning potential in the field of data science and analytics is substantial
  • Hands-On Experience: Our Data Science Course in Bangalore provides practical, hands-on experience with cutting-edge tools and technologies. You'll be well-prepared to work with real-world data, extract meaningful insights, and communicate your findings effectively
In essence, completing Data Analytics and Data Science Training in Bangalore opens doors to a world of possibilities. Your skills will empower you to excel in your chosen career, contribute to innovation, and make a lasting impact on both your professional journey and the community around you.
Job Designations in Data Analytics and AI:
  • Data Analyst: As a data analyst, you'll play a critical role in transforming raw data into actionable insights, facilitating informed decision-making within organizations.
  • Business Analyst: Business analysts bridge the gap between data and business strategy, using data to identify trends, patterns, and opportunities that can improve operational efficiency.
  • Data Scientist: Data scientists are experts at collecting, analyzing, and interpreting complex data to create models and algorithms that drive innovation and competitive advantage.
  • Machine Learning Engineer: Machine learning engineers design and develop algorithms that enable machines to learn and make predictions based on data, playing a crucial role in artificial intelligence.
  • Artificial Intelligence Specialist: AI specialists create innovative solutions that leverage machine learning, natural language processing, and robotics to transform industries and drive technological advancement.
  • Statistician: Statisticians apply statistical methods to analyze data, reveal trends, and provide critical insights for decision-makers in diverse sectors.
Salaries in India and Abroad:
  • Data Analysts in India: Entry-level data analysts can earn annual salaries ranging from INR 4- 6 lakhs, with experienced professionals commanding salaries of INR 8-10 lakhs per year. In the USA, data analysts can earn between $60,000 and $80,000 per year.
  • Business Analysts in India: Entry-level business analysts typically earn INR 5-8 lakhs per year, while experienced professionals may earn between INR 10-15 lakhs annually. In the USA, business analysts can earn salaries ranging from $70,000 to $100,000 per year.
  • Data Scientists in India: Junior data scientists can expect annual salaries of INR 6-10 lakhs, with experienced data scientists commanding salaries ranging from INR 12-20 lakhs. In the USA, data scientists earn between $80,000 and $130,000 per year.
  • Machine Learning Engineers in India: Entry-level machine learning engineers can earn INR 6- 10 lakhs per year, while experienced professionals may earn between INR 12-20 lakhs annually. In the USA, machine learning engineers can earn salaries ranging from $90,000 to $160,000 per year.
  • Artificial Intelligence Specialists in India: Junior AI specialists can expect annual salaries of INR 6-10 lakhs, with experienced professionals commanding salaries ranging from INR 12-20 lakhs. In the USA, AI specialists earn between $90,000 and $160,000 per year.
  • Statisticians in India: Entry-level statisticians can earn annual salaries ranging from INR 5-7 lakhs, while experienced professionals may earn between INR 8-15 lakhs per year. In the USA, statisticians earn between $60,000 and $110,000 per year.
Features of the course
Duration: 4 Months
200 hrs Labs/Projects sessions
Mentoring, Teamwork, Workshop, Internship
Average 15 seats
Data analytics training in Bangalore is your gateway to a prosperous and rewarding career in these fields. Whether you're looking for a Data Science Course in Bangalore with Placement, Peopleclick Learning provides you with the expertise, guidance, and resources needed to succeed. Join us today and embark on a transformative learning journey that positions you to excel in the world of data analytics and artificial intelligence, both in India and across the globe. Your journey begins with Peopleclick Learning!
Have a Question?
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Learning journey
Post graduate Program in Data science with Data Analytics and Artificial intelligence. The modules are,
EXCEL
  • Excel Basics
  • Excel Essentials
  • Formulae
  • Data Analysis
  • Charts
  • Pivot Tables
  • Lookup
SQL
  • Excel Basics
  • DDL, DML, DQL statements
  • Aggregate, Date Functions
  • Union, Union All & Intersect Operators
  • Joins
  • Views & Indexes
  • Sub-queries Essentials
  • Formulae
  • Data Analysis
  • Charts
  • Pivot Tables
  • Lookup
PYTHON BASICS
  • Excel Basics
  • Types
  • Expressions and Variables
  • String Operations
  • List and Tuples
  • Dictionaries
  • Sets
  • Loops
  • Classes
DATA SCIENCE METHODOLOGY
  • Business Understanding
  • Analytic Approach
  • Data Requirements
  • Data Collection
  • Data Understanding
  • Data Understanding - Concepts
  • Data Preparation - Case Study
  • Modelling Concepts
  • Modelling - Case Study
  • Evaluation
  • Deployment
  • Feedback
Statistics for Data Science
  • Introduction to Statistics
  • Probability Theory
  • Probability Distributions
  • Hypothesis Testing
  • Statistical Tests
Machine Learning
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Linear Regression
  • Optimization Techniques
  • Gradient Descent
  • Logistic Regression
  • Model Tuning
  • Decision Trees
  • Random Forests
  • K-Means Clustering
  • Hierarchical Clustering
  • Principal Components Analysis (PCA)
  • Time Series
Data Visualization with Python
  • Introduction to Data Visualization
  • Introduction to Matplotlib
  • Basic Plotting with Matplotlib
  • Dataset on Immigration to Canada
  • Line Plots
  • Visualization Tools
  • Area Plots
  • Histograms
  • Bar Charts
  • Pie Charts
  • Box Charts
  • Scatter Plots
Data Visualization with Tableau and Power BI
  • Introduction to Tableau
  • Tableau Interface and Chart Types
  • Visual Analytics with Tableau
  • Dashboard and Stories
  • Power BI Interface
  • Data Transformation
  • Data Modeling
  • Visual Data Analytics with Power BI
Model
  • Model Development
  • Linear Regression and Multiple Linear Regression
  • Model Evaluation using Visualization
  • Polynomial Regression and Pipelines
  • Measures for In-Sample Evaluation
  • Prediction and Decision Making
  • Model Evaluation and Refinement
  • Overfitting, Underfitting, and Model Selection
  • Ridge Regression
  • Grid Search
Clustering
  • Introduction to Clustering
  • Introduction to K-Means
  • More on K-Means
  • Introduction to Hierarchical Clustering
  • More on Hierarchical Clustering
  • DBSCAN
Advanced ML Track
  • ML Algorithms - Ensemble, Bagging, Boosting, KNN, SVM
  • Advanced ML - Naïve Bayes, Recommendation Engine
  • Introduction to Neural Network and AI
  • Computer Vision
  • NLP and Text Analytics
Advanced Data Analytics and ML Track
  • ML Algorithms - SVM, Association
  • Practice Projects on ML
  • Big Data & Hadoop Framework
  • Machine Learning with Spark
  • Advanced SQL
Introduction to Neural Networks and Deep Learning
  • Introduction to Perceptron & Neural Networks
  • Activation and Loss Functions
  • Gradient Descent
  • Batch Normalization
  • TensorFlow & Keras for Neural Networks
  • Hyperparameter Tuning
Computer Vision
  • Introduction to Convolutional Neural Networks
  • Introduction to Images
  • Convolution, Pooling, Padding & Their Mechanisms
  • Forward Propagation & Backpropagation for CNNS
  • CNN Architectures like AlexNet, VGGNet, InceptionNet
  • Transfer Learning
  • Object Detection
  • YOLO, R-CNN, SSD
  • Semantic Segmentation
  • U-Net
  • Face Recognition using Siamese Networks
  • Instance Segmentation
NLP (Natural Language Processing)
  • Introduction to NLP
  • Stop Words
  • Tokenization
  • Stemming and Lemmatization
  • Bag of Words Model
  • Word Vectorizer
  • TF-IDF
  • POS Tagging
  • Named Entity Recognition
  • Introduction to Sequential Data
  • RNNs and Its Mechanisms
  • Vanishing & Exploding Gradients in RNNs
  • LSTMs - Long Short-Term Memory
  • GRUs - Gated Recurrent Unit
  • LSTMs Applications
  • Time Series Analysis
  • LSTMs with Attention Mechanism
  • Neural Machine Translation
  • Advanced Language Models: Transformers, BERT, XLNE
Capstone Project
  • Location Data Providers
  • Foursquare API
  • Introduction to Foursquare
  • Getting Foursquare API Credentials
  • Using Foursquare API
  • Neighborhood Segmentation and Classification
  • K-Means Clustering
  • Segmenting and Clustering Neighborhood in New York City