Python with R-Programming Training Course
Python with R Certification
Industry acceptable certification for Python with R training which help fresher/Experienced to up-skill at corporate.
Experienced Faculty
Industry Expert Sr. Lead Analyst / Technical Analyst With 10+ Years provide workshop session @ SLA
Placement Assistance
After completion of 70% Python with R training our dedicated placement team arrange interview till placement.
Lab Facility
Python with R Practical Training help to gain exposure like corporate level with technical test series.
Python with R Workshop Sessions
Real time projects & best case study makes SLA workshop very unique and lively for learners.
Admin Support
For Learner’s, Our admin team fresh batch schedule/re-scheduling classes/arrange doubt classes.
Python with R-Programming Course
Data Science Training Programme Modules
Data Science Training Course
Module 1 - Python Data Science with Live Projects
Module 1.1: Introduction to Python Programming
Purpose: Build a strong foundation in Python syntax and programming concepts essential for data analysis.
Topics Covered
- Introduction to Python What is Python and why it’s popular for Data Analysis Installing Python, Jupyter Notebook, and Anaconda
- Python Basics Data Types: int, float, str, bool Variables and Constants Input and Output operations Type Conversion and Casting
- Operators Arithmetic, Logical, Comparison, and Assignment Operators
- Control Flow Conditional Statements: if, elif, else Loops: for and while Loop Control Statements: break, continue, pass
Module 1.2: Data Structures in Python
Purpose: Learn how to store, organize, and manipulate data efficiently using Python’s built-in structures.
Topics Covered
- Core Data Structures Lists, Tuples, Sets, Dictionaries
- Operations Indexing and Slicing Adding, Updating, and Removing Elements
- Comprehensions List Comprehension Dictionary Comprehension
- Common Built-in Functions len(), max(), min(), sum(), sorted(), type()
Module 1.3: Functions, Modules, and Packages
Purpose: Learn how to write reusable and modular Python code for analytical workflows.
Topics Covered
- Functions
- Defining and Calling Functions
- Return Statements and Parameters
- Default, Positional, and Keyword Arguments
- Modules
- Using Built-in Modules (math, datetime, os, random)
- Creating and Importing Custom Modules
- Packages Installing and Managing Packages using pip
Module 1.4: Working with Files
Purpose: Learn how to import, read, write, and manage external datasets effectively.
Topics Covered
- File Handling Basics — open(), read(), write(), close()
- Reading and Writing Files (CSV, TXT)
- Working with File Paths using os and pathlib
- Writing Processed Data to Files
Module 1.5: Introduction to Data Analysis with Pandas
Purpose: Master the most widely used Python library for real-world data manipulation and analysis.
Topics Covered
- Pandas Basics Introduction to Series and Data Frame
- Reading & Writing Data read_csv(), to_csv(), read_excel(), to_excel()
- Exploring Data head(), .tail(), .info(), .describe()
- Selecting & Filtering Data .loc[], .iloc[] for row/column selection Conditional filtering (df[df[‘column’] > value])
Data Cleaning
- Handling Missing Data (fillna, dropna)
- Adding, Renaming, and Dropping Columns
- Sorting and Grouping Data (sort_values, groupby)
Module 1.6: Data Visualization with Matplotlib & Seaborn
Purpose: Develop the ability to present data visually for better insights and reporting.
Topics Covered
- Introduction to Matplotlib – Basic Plot Types: Line, Bar, Pie, Histogram, Scatter Customizing Visuals (titles, labels, colors, legends)
- Seaborn for Statistical Visualization – Plot Types: barplot, countplot, boxplot, heatmap, pairplot
- Styling and Aesthetics
- Exporting Charts Saving visuals in .png and .pdf formats
Module 1.7: Data Cleaning & Preprocessing
Purpose: Learn how to prepare raw datasets for analysis — an essential industry skill.
Topics Covered
- Handling Missing Values
- Detecting & Removing Duplicates
- Changing Data Types (astype())
- String Operations on Columns (.str.upper(), .str.strip(), .str.replace())
- Date Conversion using pd.to_datetime()
- Identifying and Removing Outliers
- Basic Feature Engineering for better model performance
Module 1.8: Introduction to NumPy
Purpose: Learn efficient numerical computing — the backbone of Python data analytics.
Topics Covered
- NumPy Basics
- Arrays vs Lists
- Creating and Manipulating Arrays
- Array Operations
- Indexing, Slicing, and Broadcasting Vectorized Computations
- Mathematical Functions mean(), median(), std(), sum(), sqrt(), dot()
- Random Module Generating Random Numbers (np.random.rand(), np.random.randint())
Module 1.9: Mini Projects & Practical Assignments
Purpose: Apply your learning to hands-on, real-world projects.
Mini Projects
- Sales Data Analysis (Pandas + Matplotlib) Cleaning and visualizing monthly sales data
- COVID Data Dashboard Using Pandas and Seaborn to visualize cases and recovery trends
- Customer Segmentation (CSV File Analysis) Filtering, grouping, and reporting based on demographic data
Module 2 – SQL for Data Science
Introduction to SQL and Querying
- SQL and Its Significance
- SQL’S Role in Data Retrieval and Manipulation
- Select Statement for Data Retrieval
- Retrieving Specific Columns and All Columns
- Using Distinct to Remove Duplicates
- Data Models & ER Diagrams
- Relational Vs. Transactional Models
- Organizing Data in Tables
- Filtering Data with Where Clause
- Sorting Data with Order By
- Limiting Results with Limit
- Using Aliases for Column Names
- Hands-on Activity
Introduction to SQL and Querying
- Creating and Using Temporary Tables
- Adding Comments to SQL Code for Documentation
- Introduction to Data Modeling
- Designing A Database Schema
- Sorting Data with Order By (Advanced)
- Advanced Filtering (With In, Or, And, Not)
- Performing Mathematical Operations on Data
- Introduction to Aggregate Functions
- Count, Sum, Avg, Max, Min
- Grouping Data with Group By
- Filtering Grouped Data with Having
- Understanding Subqueries and Their Types
- (Inner Join, Left Join, Right Join, Full Outer Join)
- Updating and Deleting Data with SQL
- Analyzing Data with Statistics
- Hands-on Activity
Module 3 – Machine Learning
Module 3.1: Introduction to Machine Learning
Purpose: Understand the foundations, workflow, and use cases of Machine Learning in the real world.
Topics Covered
- What is Machine Learning?
- Difference between AI, ML, and Deep Learning
Types of Machine Learning:
- Supervised
- Unsupervised
- Reinforcement Learning (overview)
Real-world Applications of ML (Finance, Healthcare, Retail, etc.)
Machine Learning Workflow:
Problem Definition → Data Collection → Preprocessing → Modeling → Evaluation → Deployment
Module 3.2: Python for Machine Learning
Purpose: Build programming readiness for ML with essential Python tools.
Topics Covered
- Quick Revision of Python Data Analysis
- Key Libraries for ML:
NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Data Importing and Exploration
- Descriptive Statistics & Correlation Analysis
- Feature Selection and Importance Overview
Module 3.3: Data Preprocessing & Feature Engineering
Purpose: Prepare raw data for training accurate and reliable models.
Topics Covered
- Handling Missing Values (SimpleImputer, fillna)
- Removing Duplicates and Outliers
- Encoding Categorical Data:
- One-Hot Encoding
- Label Encoding
- Feature Scaling:
- Standardization (Z-score)
- Normalization (MinMaxScaler)
- Splitting Data (Train-Test Split)
Module 3.4: Supervised Learning — Regression Algorithms
Purpose: Build models that predict continuous outcomes.
Topics Covered
- Simple Linear Regression Understanding line of best fit Evaluation metrics: MAE, MSE, RMSE, R²
- Multiple Linear Regression Handling multiple predictors
Module 3.5: Supervised Learning — Classification Algorithms
Purpose: Train models to classify or categorize data points.
Topics Covered
- Logistic Regression Sigmoid function and decision boundary
- K-Nearest Neighbors (KNN) Distance metrics and K-value selection
- Decision Trees Gini impurity and information gain
- Random Forest Classifier Ensemble learning and feature importance
- Support Vector Machines (SVM) Hyperplanes and kernel tricks
- Naïve Bayes Classifier Probability-based classification
Module 3.6: Unsupervised Learning Algorithms
Purpose: Discover hidden patterns and relationships in unlabeled data.
Topics Covered
- Clustering
- K-Means Clustering
- Hierarchical Clustering (Dendrograms)
- DBSCAN (Density-Based Clustering)
- Dimensionality Reduction PCA (Principal Component Analysis) t-SNE (for visualization)
- Association Rule Learning Apriori Algorithm Market Basket Analysis
Module 3.7: Model Evaluation, Optimization & Validation
Purpose: Improve model accuracy and generalization.
Topics Covered
- Train-Test Split and Cross Validation (K-Fold CV)
- Bias-Variance Tradeoff
- Grid Search & Random Search for Hyperparameter Tuning
- Ensemble Learning Concepts: Bagging and Boosting
Module 3.8: Advanced Topics in Machine Learning
Purpose: Get exposure to advanced tools and concepts used in modern ML.
Topics Covered
- Introduction to Pipelines in Scikit-learn
- Feature Selection Techniques (Recursive Feature Elimination)
- Time Series Forecasting (Intro)
- Handling Large Datasets
- Saving and Loading Models (pickle, joblib)
Module 3.9: Model Deployment (Basics)
Purpose: Learn how ML models are integrated into real-world systems.
Topics Covered
- Exporting Models with joblib and pickle
- Deploying Models Locally or on Web
- Introduction to APIs and Integrations
Module 3.10: Real-World Machine Learning Projects
Purpose: Apply all concepts to realistic datasets and business problems.
Projects
- Predictive Analytics (Regression) Predict House Prices based on area, location, and features.
- Classification Project Credit Card Fraud Detection or Employee Attrition Prediction.
- Unsupervised Learning Customer Segmentation using K-Means and PCA.
2+ End-to-End ML Projects
Machine Learning Interview Questions
Module 4 – Generative Artificial Intelligence
Introduction to Neural Networks
- Perceptrons
- Neural Networks
- Hidden Layers
- Keras
- Forward & Backward Propagation
- Multilayer Perceptrons (MLP)
- Callbacks
- Tensorboard
- Optimization
- Hyperparameter tuning
- Computer Vision
Convolutional Neural Nets
- Data Augmentation
- Transfer Learning
- CNN
- CNN Hyperparameters Tuning & BackPropagation
- CNN Visualization
- Popular CNN Architecture – Alex, VGG, ResNet, Inception, EfficientNet, MobileNet
- Object Segmentation, Localisation, & Detection
- Natural Language Processing
Text Processing & Representation
- Tokenization, Stemming, Lemmatization
- Vector space modelling, Cosine Similarity, Euclidean Distance
- POS tagging, Dependency Parsing
- Topic Modelling, Language Modelling
- Embeddings
- Recurrent Neural Nets
- Information Extraction
- LSTM
- Named Entity Recognition)
Course on Large Language Models and Generative AI
- Introduction to Large Language Models
- Generative Pre-Trained Transformer(GPT)
- OpenAI ChatGPT
- Vector Databases
- Langchain
- Stable Diffusion
- Prompt Engineering
- Gen AI with APIs
Mini Project
Module 5 – AWS Analytics
AWS & Cloud Basics for Data Analysts
- What is AWS & why companies use it
- Regions, Availability Zones (conceptual)
- AWS Analytics ecosystem overview
- Basic IAM concepts (users, roles)
Amazon RDS – Operational Data Source
AWS Services
- Amazon RDS (MySQL / PostgreSQL)
- Tables, schemas, sample datasets
- Read replicas (reporting use case)
- Why analytics should not run on production DBs
Amazon S3 – Building a Data Lake
- Amazon S3
- Raw / processed / analytics folders
- File formats: CSV, JSON, Parquet
- Cost-effective data storage
Data Ingestion & ETL using AWS Glue
- AWS Glue Crawlers
- AWS Glue Data Catalog
- Glue Studio (visual ETL)
- RDS → S3 data ingestion
- Basic transformations
SQL Analytics using Amazon Athena
- Amazon Athena
- Analytical SQL queries
- Aggregations, joins
- CTAS queries
- Query optimization
Data Warehousing Basics using Amazon Redshift
- Amazon Redshift (Serverless)
- Fact & dimension tables
- Star schema basics
- Reporting queries
Dashboards & Reporting using Amazon QuickSight
- Amazon QuickSight
- Datasets & SPICE
- KPIs, charts, filters
- Sharing dashboards
Data Security & Governance (Industry Basics)
- AWS IAM
- AWS Lake Formation
- AWS KMS
Topics
- Role-based access
- Column-level security
- PII awareness
Cost Awareness & Best Practices
- Athena pay-per-query model
- S3 lifecycle rules
- Partitioning strategy
Module 6 – Snowflake Data Warehousing
Module 1: Data Warehousing Concepts (Foundation)
- OLTP vs OLAP
- Data Warehouse vs Data Lake vs Data Lakehouse
- Cloud Data Warehouse Architecture
- Dimensional Modelling (Star vs Snowflake Schema)
- Fact & Dimension Tables
- Slowly Changing Dimensions (SCD Types 0–6)
- Data Mart Concepts
- Data Governance Basics
Module 2: Introduction to Snowflake
- What is Snowflake? Why Snowflake?
- Snowflake Cloud Architecture (Hybrid Shared-Disk + Shared-Nothing)
- Snowflake Editions & Cloud Platforms (AWS/Azure/GCP)
- Virtual Warehouse vs Database vs Schema Design
- Storage, Compute & Services Layer
- Snowflake UI (Web, Snowsight)
- Pricing & Billing Model
Module 3: Snowflake Database Essentials
- Creating Databases, Schemas, Tables
- Clustering & Micro-partitioning
- Data Types & Constraints
- Roles, Users & Access Control
- Time Travel & Fail-safe
Module 4: Data Loading & Unloading
- Data Staging (Internal/External)
- File Formats — CSV, JSON, Parquet, Avro, ORC
- COPY INTO commands
- Snowpipe (Real-time ingestion)
- Integration with AWS S3 / Azure Blob / GCP Storage
- Bulk & Incremental Data Loads
Module 5: Data Warehouse Modeling in Snowflake
- Fact & Dimension Table Implementation
- SCD Implementation (Types 1, 2, 3 with Merge)
- Hierarchies & Aggregation Tables
- Handling Slowly-Changing Fact Data
Module 6: Semi-Structured Data & JSON Handling
- VARIANT, OBJECT, ARRAY Data Types
- Flattening JSON
- Working with XML, Parquet
- Query Performance on Semi-structured data
Module 7: Querying, Performance Tuning & Optimizations
- Query Profiling & EXPLAIN plans
- Warehouse Scaling / Auto-suspend / Auto-resume
- Materialized Views
- Caching Layers (Result/Metadata/Local Cache)
- Partitioning & Clustering keys
Module 8: Data Sharing & Collaboration
- Secure Data Sharing
- Reader Accounts
- Marketplace Integration & Data Exchange
- Data Masking Policies
Module 9: Snowflake Security & Administration
- RBAC framework (Roles & Privileges)
- Network Policies & MFA
- Encryption & Key Management
- Resource Monitoring & Cost Optimization
- Metadata Management
Module 10: ETL/ELT Integration
- Using DBT for transformations
- Integrating with Informatica, Talend, ADF, Glue
- Performance Best Practices in ELT pipelines
- Stream & Tasks — automation scheduling
Module 11: Advanced Features
- Zero-Copy Cloning
- Multi-Cluster Warehouses
- Failover & Replication
- Snowpark (Python) — Intro
- Stored Procedures & UDFs
- Workload Management
Module 7 – Tableau / MS Power BI - (Free)
Module 4 a) Tableau
Module 1 – Getting Started with Tableau
- Overview Of Tableau
- Tableau Architecture
- Installation And Configuration Of Tableau 10
Module 2 – Connecting to The Data
- Managing Metadata
- Managing Extracts
- Data Sources
- Cross-Database Joins
- Data Aggregation And Data Ports
- Tableau Charts
- Bar Charts and Stacked Bars Data Blending
- Tree Maps and Scatter Plots
- Individual Axes, Blended Axes, Dual Axes and Combinational Chart
Module 3 – Visual Analytics
- Drill Down and Hierarchies
- Sorting, Filtering and Grouping
- Trend and Reference Lines
- Forecasting and Clustering
- Analysis with Cubes and MDX
Module 4 – Developing First Bar Chart
- Connecting Tableau to Data File
- Navigating Tableau
- Calculated Fields
- Adding Colors, Labels and Formatting
Module 5 – Time Series, Maps and Aggregation
- Data Extracts and Time Series
- Understanding Granularity, Aggregation and Level of Details
- Default Location in Maps
- Custom Geo Coding
- Symbol Map and Filled Map
Module 6 – First Dashboard
- Into Section
- Joining Data In Tableau
- Working With Maps and Hierarchies
- Scatter Plot and Applying Filters in Different Sheets
- Creating First Dashboard
Module 7 – Blending Data and Dual Axis Charts
- Duplicate Values
- Multiple Fields
- Data Blending
- Dual Axis Chart
- Building Calculated Fields
Module 8 – Table Calculation and Storytelling
- Downloading Dataset and Connection
- Mapping
- Building Table Calculation For Gender
- Bins and Distributions for Age
- Tree Map Chart
- Advanced Dashboard
- Storyline and Storytelling
Module 9 – Data Preparation
- Data Format
- Data Interpreter
- Multiple Columns And Pivot
- Metadata Grid
- Advanced Data Preparation
Module 4 b) MS Power BI
A Quick Introduction
- What is MSPBI and its scope
- Learn the common work flow in MSPBI
- Building blocks of MSPBI and its relations
- Quick demo how to create a business dashboard in MSPBI
- MSPBI components
- Old vs. new technologies
- Power BI Desktop/Service/Mobile
Getting Business Data
- Get data in shape for use with MSPBI
- Combining two or more data sets (source data) for reporting
- Tackling messy data in MSPBI
- Clean and transform data
Modelling in Power BI
- How to connect many different data sources
- Manage data source (database) relationships
- Unique keys
- Calculated columns and more
- Custom calculations to evaluate time-based functions
- Build calculated tables based on DAX formulas and expressions
- Creating and viewing visuals easier with optimized models
- Discover hierarchal drill-down tools for date fields
Data Visualization
- Create and customize visualization in MSPBI and its power
- Use combination charts
- Create and format slicers with it
- Map visualizations and its utilization
- Use tables and matrixes
- Long live bubbles
- scatter charts in action
- Advanced funnel and waterfall charts
- Drive fast dashboard insights with gauges and numbers
- Color your visualization world with colors
- shapes and scales
- Adding personal touch
- logo etc. to reports and dashboards
- Display and present your dashboard in a way you want with summarize data
- Control how your report elements overlap with each other
- Learn to drill into hierarchies
- Manage how levels are shared (Z-order in reports)
- How to use R visuals in MSPBI
Data Exploring and Sharing
- Quick insights in Power BI Service
- Create and configure a dashboard
- Share dashboard with your organization
- Display and edit visuals- tiles
- full screen
- Get more space on your dashboard
- Install and configure a personal gateway
- Excel and MSPBI
- Import and excel table into Power BI
- Import excel files with data models and power view sheets
- Connect One Drive for business to MSPBI
- Excel data in Power BI summary
DAX (Data Analysis Expression) Application
- DAX and its basic building blocks
- Create calculated columns (fields) and measures in MSPBI using DAX formulas
- Breadth of functions available in DAX
- User variables in DAX
- Create expressions across multiple tables with relational functions;
- Filter and evaluate tables using advanced table functions
Please find the Python with R Course Duration Details. Classes & Course can be designed/customize as per request
Duration of Module
| Python with R Course Module | Python with R Course Duration |
|---|---|
| Module 1 – 7 | 35 – 40 (Hours) |
Batch Timings
| Python with R Course Schedule | Timing |
|---|---|
| Monday to Friday | 8:00 AM – 10:00 AM |
| Monday to Friday | 10:00 AM – 12:00 PM |
| Monday to Friday | 2:00 PM – 4:00 PM |
| Monday to Friday | 4:00 PM – 6:00 PM |
| Saturday/Sunday | 8:00 | 12:00 | 2:00 | 4:00 |
| Sunday | 8:00 AM – 10:00 AM |
| Sunday | 10:00 AM – 12:00 PM |
| Sunday | 2:00 PM – 4:00 PM |
| Sunday | 4:00 PM – 6:00 PM |
Download Python with R-Programming Course Brochure
FAQs
Who can take up this Course?
Anyone who wants to make a career in the Python with R Programming or just want to upgrade your skills by learning Python should definitely join this course. Whether you are a student or an IT professional or someone who is looking to start or explore a career in the field of Analytics Industry.
Who are the instructors?
Our instructors are the best industry and domain knowledge professionals with years of experience.
Will I get job support at the end of this course?
Undoubtedly, we are having a dedicated team for assisting you at the end of the course. The Instructor helps you build a proper resume. The Instructor will share top interview questions and answers in that specific technology. The Instructor will share some of the insights about the real world projects using this specific technology.
How long does it take to learn Python and R Programming?
The course duration for R Programming is set 30 hrs. and for Python 45 hrs. is set. But the learners get the full admin support in case if learners need extra time to get acquaint with course.
Whom I Contact to join or Where is the Location ?
SLA Consultants gurgaon is located near Nirman vihar metro station Kindly contact to our counselor for advanced training & placement support. Area near to us are laxmi nagar, mandawali, shakarpur, patparganj, mayur vihar, ashok nagar, kaushambi, pandav nagar, geeta colony, shahadra, dilshad garden, bhajanpura, loni, paharganj, connaught place, kamla nagar, karol bagh, lajpat nagar, greater kaishal, neheru place, okhla phase, jamia, sarita vihar, dwarka, uttam nagar, vasundhara, indirapuram, ghaziabad. Those living near jahangirpuri, azadpur, shalimar bagh, wazirpur, pitam pura, rohini, rithala, nangloi, paschim vihar, punjabi bagh, kirti nagar, tilak nagar, rajouri garden, janakpuri visit to our gurgaon training center / Laxmi Nagar Kindly Note: SLA Consultant India Trainer helps you to provide best training in Gurgaon, traveling of about 15-20 minutes helps to choose best institute
What's the main objective of the course?
It aims to cover all aspects of Python and R Programming as a combined skill set to get an all-encompassing understanding of R Programming (Data Science) and R Programming (Machine Learning).
Do participants get certification after the completion of the course?
SLA Consultants India gives Certification Training for its every course and our certificate is valid in every relevant sector.
Testimonials
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This institute is the best institute in Delhi and the teachers are the best, but my experience is with my faculty was good and he is the best teacher in this institute..
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I have completed the Data Analytics program at SLA Institute, Laxmi Nagar, and it has been a great learning experience. The course structure is well-designed and focuses on practical implementation rather than just theory. The trainers are knowledgeable and supportive, and they ensure every student understands the concepts thoroughly. The institute also provides placement assistance and interview preparation support. I would recommend this institute to anyone serious about building a career in data analytics.
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I have recently joined SLA institute.. And currently SLA trainer is taking our data analytical classes and he is a very good teacher, have a good teaching experience as well.. I really enjoying with the training..
Sandeep DA
Vicky Kumar Gupta
Faculty at SLA Institute is an outstanding Excel trainer. His offline teaching methods are highly practical, making complex Excel functions easy to understand.
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I had the pleasure of learning excel from SLA experienced faculty. Their teaching style is clear engaging and incredibly effective marking even complex excel function easy to understand. He is patient and always willing to answer questions, providing personalized guidance to ensure everyone keeps up with the material. If you’re looking to improve your excel skills whether as a beginner or an advance user I highly recommend SLA Consultants India.
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I enrolled in the data analyst course at SLA Institute and I am pleased to have the SLA experienced faculty as my instructor. The learning experience with him has been excellent. Sir explained every detail about the subjects thoroughly. I am deeply grateful to sir and SLA institute. His exceptional teaching strategies and his skill in relating to students are what make him a crucial asset to SLA Institute.
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The Data Analytics course was well-structured and easy to follow. The teaching style was clear, engaging, and well-paced, making complex topics easier to understand. Concepts were introduced step-by-step, and the use of real-world examples helped bridge theory with practical application. I appreciated the logical flow of the modules, which built on each other effectively. The instructor explained key tools and techniques in a way that was accessible, even for those without a strong technical background.
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Highly recommended SLA institute for great curriculum, academic and environment. The staff and teachers are supportive. Gagan Gupta sir is a good and professional trainer I enjoyed and found this course most helpful.
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Practical, project-based learning, experienced and supportive mentors, comprehensive curricula covering tools like SQL, Advance Excel, VBA and Power BI, and placement assistance such as resume building and mock interviews
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Harsh Dogra
Learning Power Bi, SQL with SLA trainer has been an inspiring journey. His teaching style is clear, practical, and easy to follow, with every concept explained step by step
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SLA institute is a good institute. I did Excel & VBA course there. My overall experience is good.
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I highly recommend SLA trainer ..he is extremely knowledgeable, polite, and friendly. He explains concepts clearly, ensures everyone feels comfortable asking questions, and maintains a positive learning environment. His approachable nature and patience make the sessions engaging and easy to follow. I truly appreciate his dedication.
Arjun
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I recently completed the Data Analytics course under the guidance of SLA trainer, and the experience has been truly amazing. The learning journey with him has been exceptional — he explained every concept in great detail and ensured we understood the subject thoroughly. I’m deeply grateful to another SLA trainer as well for his dedication and to SLA Institute for providing such a well-structured and enriching learning environment. This course has significantly boosted my confidence and skills in the field of Data Analytics..
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I joined SLA and attended classes conducted by SLA trainer. He is an excellent teacher with exceptional expertise in Excel, Power BI, and VBA. His teaching has greatly improved my command over these tools, and I consider him the best teacher at SLA.
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I did the data analytics course from the institute which was taught by SLA trainer. His teaching method was very refreshing and also taught me bonus tricks which were fun. The course in itself is very to the point and does not waste the student’s time with irrelevant topics and syllabus. All and all I would highly recommend this course to anyone who wants to get into data analytics.
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My Experience with Excel, VBA, Power BI, and SQL Classes from SLA institute I recently completed classes on Excel, VBA, Power BI, and SQL, and it was a really good learning experience. Overall, these classes improved my skills in data handling, analysis, and reporting, and I feel more confident working with real-world data.
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From my point of view, SLA is the good institute, I’ll strongly recommend SLA Consultants India. Training institute for Analyst courses. I am pursuing my Data Analyst Course from the institute under the guidance & knowledge of professional Data Analyst trainers, & my two modules (Advance Excel and VBA) of the course has been completed. I must say that they have good faculty, as well as have the great infrastructure for learning and practicing.
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I strongly recommend SLA Consultants India, Training Institute for doing courses. I am doing my Data Analyst course in SLA Consultants India, Laxmi Nagar-Head Office, till now my two modules(Advanced Excel and VBA) have been completed. Its been good experience with a trainer, as they shared me a lot of knowledge in brief. At the institute, trainers and admin staff are good & cooperative.
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I have completed Advanced Excel & Visual Basic Automation training course from SLA Consultants India. I had amazing experience after completion of training program and I would like to say thanks to the trainer, who elaborate solution for all the problems very quickly at the same time with very easy Technic to better understanding. Trainers are very kind and helpful. I would like to rank him 5 out of 5. I am so much obliged and feeling grateful, thanks a ton for the great support by trainers and thank you SLA Consultants India.
Amit Kumar
I hope, my review may help to those who are searching for an institution where they can enhance their skills and get a placement as well. I have joined SLA Consultants India for complete MIS course, my trainer is one of the best teacher of my life. Who are searching for a institute joined it immediately without hassle & wasting your time. Trainer will teach you both theoretical as well as practical knowledge, also prepare you for interviews. The best thing about trainer is that they help you even after you completion of your course, share queries on e-mail or Whats-App your query and you will get your problem resolved. My over all experience was awesome.
Vinay Tiwari
My experience in SLA is quite well.I have taken classes for both modules Advance Excel and VBA Macros. Whenever I raised for any doubt and to be honest my all queries and doubt were sorted out patiently. I must say my trainer was quite supportive and patiently explained everything. Even though I have taken classes on weekend basis, but never feel like that the course is running or missing anywhere. And now I am too confident about Excel and VBA after completion of training under expert trainers. I will always recommend everyone to Join SLA Consultants India, if they are interested in MIS and RPA etc..
Abhishek Bharti
I have great experience in SLA Consultants India for Excel and VBA Macros with expert trainers.
Hemant Harshwal
I have joined SLA Consultants India for Advanced Excel and VBA. Have gone through no. of classes and got good knowledge about Excel and VBA. Our trainerwas very supportive and patiently explains every thing. He is very cooperative apart of training he also suggest regarding our career.
Himanshu Nautiyal
I have done MIS & VBA course form SLA Consultants India under the guidance of Anoop Sir, he has a very good knowledge & experience. He is a professional Trainer & his way of teaching is very good. It is great experience for me to grow with my skill & work efficiency. It is very good Platform who wants to build-up their career in MIS. Also thanks to Swati Mam for Co-ordinate with us and help me to find a good platform.
Rahul Kumar
I have done MIS & VBA Training form SLA Consultants under the guidance of professional trainer, has a very good knowledge & experience in Corporate & MNC. He is professional Trainer & his way of teaching is as per the corporate requirement. I’d great experience for me to grow my skill & work efficiency. It is very good pelt from who wants to build-up their career in MIS.
Neeraj Gupta
SLA Consultants is too good institution & very helpful. If u want to achieve something in your life so please join today SLA Consultants India. Especially I would like to thank SLA Team & Trainer under I have attained the training.
Archit Khandelwal
Thanks to SLA consultants for giving me such type of opportunity, Great Institute with great teaching faculty. SLA is one of the class-apart institutions for those who learn something. I got a job in Fortune marketing Pvt Ltd as MIS Executive. SLA give me the confidence of ” I CAN “
Anil Kumar
It was one of the best decisions to join SLA consultants for my course. The course that I pursued here was very well planned and executed. I’m highly satisfied with professional trainers. The lectures were easy to understand & industrial based & every doubt of mine was properly explained. I would recommend SLA Consultants India to all those who are willing to grow in their careers and do well.
Kumar Gautam
I joined MIS/VBA training at SLA. This type of practical oriented classroom training is very helpful & who’ll follow classes under the expert trainers with this approach ensures that they will learn completely about subject in short period of time. “SLA Consultants India” is the best for learning job-oriented classroom programs. Thanks to expert trainers and Placement team for the best support.
Ummed Ali
SLA Consultants India is better institute to learn practical training courses than any others. it provides the best training to their students. The teaching staff is very knowledgeable & professional for MIS and VBA courses. I learned a lot there and better career path.
Bhavani Singh
The experience with SLA Consultants India is phenomenal. It trained me to become industry ready and exposed me to various important work practices. The staff is extremely cordial and cooperative. The faculty members are the experienced and experts in the subjects taught by them. I thank SLA & Team for the quality services and placement assistance provided by them.
Anil Kumar Pal
Thanks to SLA consultants, my company values me a lot. I can churn out data from a huge database within a few minutes and keep the management happy. The ever cooperative trainers of SLA have made me capable of doing that and I will be grateful to them.
Priyanka Tiwari
I did not know what to do in life. Then I saw the ad of SLA Consultants. After getting knowledge of all their course offerings, I selected MIS and loved it from the start. Thank you for making my career and helping me get a good life SLA.
Santosh Kumar
When I joined, I didn’t have a clue about MIS Management and now my friends call me an expert of MIS. All thanks to SLA Consultants who filled me with great knowledge and software training without charging a lot of money.
Kapil Negi
Data Management has always attracted me. SLA Consultants turned this hobby in a professional skill by teaching me all about MIS Management. I got a good job now and I am very happy with my life.
Aditya Pratap
I’ve completed the MIS training from SLA Consultants India and now I believe that SLA provides the excellent & quality training. I got placed in a reputed company with complete placement support provided the SLA placement team.
Avinash
The team of trainers working with SLA is amazing. The support staff is always there to help and Arbind Sir was a great guide. I will never forget my time at SLA and I thank them for the job they helped me get after I completed my course.
Tegbahadur Singh
My love for Data Management was turned into a career opportunity by SLA Consultants. They helped me learn all latest MIS software and made me a champion of Data Management. I have a great career path thanks to the SLA Team.
Sushil kumar yadav
Thanks to SLA consultants, my company values me a lot. I can churn out data from a huge database within a few minutes and keep the management happy. The ever cooperative trainers of SLA have made me capable of doing that and I will be grateful to them.
Rajbir Sharma
SLA Consultants played the role of a friend, philosopher and guide in my career. They helped me learn complex software and complicated terminologies in such a manner that I now excel at MIS Management. I also love the job they have helped me get.
Pawan Gupta
I think SLA Consultants is the best place for skill development. They made me a professional from a fresher and I have seen them do the same for hundreds of students. I highly recommend them to very student or professional seeking career growth.
Anand Kumar Jha
My love for Data Management was turned into a career opportunity by SLA Consultants. They helped me learn all latest MIS software and made me a champion of Data Management. I have a great career path thanks to the SLA Team.
Nazia Praveen
From the first day I entered the office of SLA Consultants, they helped me. I completed the admission process swiftly and started learning MIS whenever it was convenient. Now I am working in a full time job that’s not hectic but enjoyable.
Hariom Agarwal
The staff, trainers, and management of SLA Consultants is great. These people really help freshers like me to get a good job. They have changed thousands of lives and I am happy to say that mine was also changed by them. So thank you.
Indresh Kumar
I didn’t know anything about MIS management when I joined SLA Consultants. They helped me to learn the craft of managing, sorting and presenting data and now I am a valuable asset in my company. Thank You, SLA Consultants. I will always be grateful to you.
Md Sadik
SLA Consultants played the role of a friend, philosopher and guide in my career. They helped me learn complex software and complicated terminologies in such a manner that I now excel at MIS Management. I also love the job they have helped me get.





















































