Data Analytics Online Courses
Classroom • Live Online • Hybrid
Looking for a high-paying career in Data Analytics? Start your journey with 3RI Technologies and gain the practical skills needed for in-demand Data Analyst roles. Learn relevant tools and technologies such as Python, SQL, Excel, Power BI, and Tableau through industry-focused training and real-world projects. With expert mentorship, hands-on learning, and placement assistance, the program helps you prepare for career opportunities in India’s growing Data Analytics industry.
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Key Features
Course Duration : 5 Months
Live Projects : 4
Online Live Training
EMI Option Available
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Our Industry Expert Trainer
We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios.
The Global Certified Trainers are Excellent in knowledge and highly professionals.
The Trainers follow the Project-Based Learning Method in the Interactive sessions.
Data Analytics Course in Pune
Our Data Analytic Online Course in India at 3RI Technologies is designed for students, freshers, job aspirants, and working professionals who want to build their skills in data analytics from the basics. This practical Data Analytics Training in Pune focuses on developing real-world skills required for aspiring Data Analysts. You will learn how to handle and analyze data, create reports and dashboards, and generate meaningful insights that can support business decisions. Through and interactive sessions led by knowledgeable instructors, the program places a strong emphasis on hands-on learning.
Training Highlights
- Updated training content aligned with current industry requirements
- Live and interactive online sessions with experienced trainers
- Hands-on practice using real-world datasets
- Project-based learning with practical assignments
- Excel, Power BI, Tableau, and Python training
- Practical experience in dashboard creation and business reporting
- Resume-building and interview preparation support
- Doubt-solving and mentor guidance throughout the training
- Industry-relevant projects to strengthen your professional portfolio
Learn Through Industry-Focused Training: Build a strong foundation in Data Analytics, AI, and Business Intelligence through structured online lessons designed around practical business applications.
Attend Live Mentorship Sessions with Industry Experts: Interact with experienced trainers during live sessions to discuss case studies, understand practical workflows, clarify doubts, and learn how analytics and AI are applied in real business situations.
Develop Data and AI Skills: To analyse data, automate processes, and support business choices, gain hands-on experience with SQL, Python, Excel, Power BI, Tableau, Generative AI, and AI-assisted analytics workflows.
Prepare for Industry-Relevant Certifications: Get guidance on relevant analytics certifications and strengthen your understanding of tools such as Power BI and other widely used data analytics technologies.
Improve to Address Business Issues: Work on real-world datasets, projects, case studies, and practical tasks to build a portfolio that highlights your AI and data analytics abilities.
Get Personalized Learning Support: Receive guidance from trainers and mentors throughout the program. Get projects, assignments, technical questions, and real-world applications of analytics principles.
Earn a Course Completion Credential: Receive a 3RI Technologies course completion certificate after successfully completing the program, providing an additional credential to showcase your Data Analytics training and practical learning.
Embarking on the journey of data analytics requires passion and a basic understanding of mathematics. Our educational program is readily available and beneficial for both amateurs and experienced experts aiming to broaden their intellectual ideas since it is customized to individuals with a variety of experience.
The Data Analyst Online Course at 3RI Technologies introduces you to how data analytics is applied across real-world business environments. The Data Analytics Online Course focuses on developing practical skills in organizing and cleaning data, generating reports, identifying trends, creating dashboards, and presenting insights clearly for better business decision-making.
Core Modules Covered
- Introduction to Data Analytics
- Business Data Analytics
- Advanced Excel for Data Analytics
- SQL for Data Management
- Data Cleaning and Transformation
- Power BI and Tableau Dashboards
- Business Reporting and Data Visualization
Advanced Topics & Projects
- Fundamentals of Statistical Analysis
- Data Pattern and Trend Identification
- Interactive Dashboard Development
- AI-Assisted Analytics Tools
- Automated Reporting and Business Insights
- Real-World Data Analytics Projects
- Placement-Oriented Training and Career Preparation
Through a structured learning journey in our Data Analytic Online Course, you will build the practical capabilities needed to work with data and apply analytics in real-world business environments:
- Develop to turn unprocessed data into insightful business information that may be used to make decisions.
- SQL, Python, Power BI, Tableau, and other visualisation tools can be used to query, clean, transform, and analyse data.
- Convert business problems into structured analytics workflows by understanding requirements, defining objectives, and planning practical data projects.
- Use Generative AI to support analytics by improving coding, data analysis, workflow automation, reporting, and insight generation.
- Explore workflows using ideas like vector databases, rapid engineering, embeddings, and Retrieval-Augmented Generation (RAG).
- While a GitHub or e-portfolio with practical Data Analytics and AI projects, create interactive dashboards and business narratives.
Choosing 3RI Technologies means choosing excellence in education. Our collective of experienced instructors provides a plethora of industry knowledge to the classroom, creating an environment where learning goes beyond textbooks. We make sure you are knowledgeable about the most recent tools and methods in data analytics with a curriculum designed in conjunction with industry professionals.
Real-World Dataset Exercises: Work with practical datasets and business scenarios throughout the training to gain hands-on experience in cleaning, analyzing, visualizing, and interpreting data.
Comprehensive Study Resources: Access structured learning materials, practice exercises, Excel templates, SQL queries, Python notebooks, and Power BI resources to support your learning and revision.
Interactive Online Sessions: Participate in live online sessions covering data cleaning, SQL queries, Python-based analysis, dashboard creation, and practical problem-solving with trainer guidance.
Tailored Learning Path: Follow a structured learning journey designed for different experience levels, starting with data analytics fundamentals and progressing toward advanced analytics concepts and AI-enabled workflows.
Industry-Standard Tool Stack: Develop practical skills using Python, SQL/MySQL, Excel, Power BI, Tableau, Pandas, NumPy, Matplotlib, and Seaborn for data preparation, analysis, visualization, and reporting.
End-to-End Capstone Project: Complete a comprehensive analytics project covering data collection, cleaning, transformation, analysis, visualization, dashboard development, and presentation to create a portfolio-ready solution.
Both the profiles: Data analysts and Data scientists play with Data, but these two profiles are loaded with distinctive roles and accountabilities. Here’s a major difference between these two Profile:
Data Analyst:
- Focus:The primary objective of interpreting and analyzing data for data analysts is help businesses in making legitimate business decisions.
- Skills: They are skilled in data cleansing, statistical analysis, and visualization methods. Excel, SQL, and business intelligence tools are commonly used.
- Tasks: Data analysts process and analyze historical data, create reports, and generate insights to answer specific business questions.
- Objective: The objective is to help with decision-making through presenting an in-depth knowledge of both historical and modern patterns.
Data Scientist:
- Focus: A data scientist’s primary focus is on developing new algorithms and data analysis procedures for data modeling and production.
- Skills: They have advanced skills in programming (Python, R), machine learning, and statistical modeling. Data scientists frequently function with massive data technologies and are capable of handling unstructured data.
- Tasks: Data scientists work on predictive and prescriptive analysis, build machine learning models, and develop algorithms to uncover patterns and trends for future decision-making.
- Objective: The goal is to extract actionable insights, build models, and make predictions for future trends or outcomes.
Searching for a Data Scientist course in Pune? We are here for you. 3RI Technologies offering a complete Data Analyst course in Pune
The rewards of completing our Data Analytics Course in Pune extend beyond knowledge. With globally recognized certifications, you not only validate your expertise but also gain a competitive edge in the job market. From enhanced career prospects to the ability to contribute meaningfully to organizational success, the benefits are limitless.
3RI Technologies’ Online Data Analytics Course with Python, SQL, Power BI, and Excel is designed to provide a strong foundation for building a career in the growing field of data analytics.After completing it, you will:
Develop in-demand analytics skills in data cleaning, analysis, visualization, and reporting using tools such as Python, SQL, Excel, Power BI, and Tableau.
Prepare for opportunities across industries including IT, finance, healthcare, e-commerce, retail, consulting, and other data-driven sectors.
Work real-world datasets, business case studies, assignments, and end-to-end analytics projects to gain practical experience.
Strengthen your career profile with practical knowledge, project experience, and a course completion certificate that can complement your resume.
Get positions like data analyst, business intelligence analyst, reporting analyst, Power BI analyst, business analyst, and data visualisation specialist that are in high demand.
Develop AI-enabled analytics skills by exploring Generative AI tools and workflows that can support data analysis, reporting, automation, and business insights.
Build a professional portfolio showcasing your analytics projects and demonstrating your ability to apply technical skills to real-world business problems.
A Data Analytics Certification from 3RI Technologies can complement your practical skills and project experience while helping you demonstrate your commitment to developing a career in data analytics.
Here are a few reasons to consider 3RI Technologies for your online Data Analytics Course:
Hands-On, Project-Based Learning: Gain practical exposure by working on real-world datasets, business case studies, assignments, and analytics projects that help strengthen your problem-solving and analytical skills.
Industry-Ready Portfolio Development: Build a professional portfolio with projects involving Python, SQL, Power BI, Excel, Tableau, data visualization, and business analytics, giving you practical work to showcase during job applications and interviews.
Structured, Progressive Curriculum: Start with data analytics fundamentals and gradually progress to advanced concepts, visualization, reporting, statistical analysis, and AI-enabled analytics workflows for a structured learning experience.
Career-Focused Skill Building: Develop the technical and analytical skills required for modern data roles while understanding how analytics can be applied to real business problems and decision-making.
End-to-End Learning Support: Get support throughout your learning journey with practical resources, trainer guidance, doubt-solving, project assistance, interview preparation, and career guidance.
Gain a Data Analytics Certification: After successfully completing the program, receive a 3RI Technologies course completion certificate that can complement your resume and demonstrate your commitment to developing professional Data Analytics skills.
Skills Required
- No Prerequisites for Data analytics certification training
- Basic knowledge of SQL is advantageous
Data Analytics Course Syllabus
The detailed syllabus is designed for freshers as well as working professionals
Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers
1. Fundamentals of Data Science and Mathematical statistics
● Introduction to Data Science
● Need of Data Science
● BigData and Data Science
● Data Science and machine learning
● Data Science Life Cycle
● Data Science Platform
● Data Science Use Cases
● Skill Required for Data Science
2. Mathematics For Data Science
● Linear Algebra-Matrices
o Zero
o One
o Identify
o Diagonal
o Column
o Row
o Operations
3. Statistics for Data Science
● Structured and unstructured
● Measures of central tendency and dispersion
● Empirical Formula
● Confidence Interval
● Central Limit Theorem
4. Probability and Probability Distributions
● Probability Theory
● Conditional Probability
● Data Distribution
● Normal Distribution
● Binomial Distribution
5. Tests of Hypothesis
● Large Sample Test vs Small Sample Test
● One Sample: Testing Population Mean
● Hypothesis in One Sample z-test
● Two Sample: Testing Population Mean
● One Sample t-test – Two Sample t-test
● Chi-Square test
1. Using a Spread sheet
● What is Excel?
● Why Use Excel?
● Excel Overview
● Excel Ranges, Selection of Ranges
● Excel Fill, Fill Copies, Fill Sequences, Sequence of Dates
● Excel adds, move, and delete cells
● Excel Formulas
● Relative and Absolute References
2. Functions
● SUM
● AVERAGE
● COUNT
● MAX & MIN
● RANDBETWEEN
● TRIM
● LEN
● CONCATENATE
● TODAY & NOW
3. Advanced Functions
● Excel IF Function
● Excel If Function with Calculations
● How to use COUNT, COUNTIF, and COUNTIFS Function?
4. Data Visualization
● Excel Data Analysis – Data Visualization
● Visualizing Data with Charts
● Chart Elements and Chart Styles
● Data Labels
● Quick Layout
● An Introduction to RDBMS & SQL
● Data Retrieval with SQL
● Pattern matching with wildcards
● Basics of sorting
● Order by clause
● Aggregate functions
● Group by clause
● Having clause
● Nested queries
● Inner join
● Multi join
● Outer join
● Adding and Deleting columns
● Changing column name and Data Type
● Creating Table from existing Table
● Changing Constraints Foreign key
1. An Introduction to Python
● Why Python , its Unique Feature and where to use it?
● Python environment Setup/shell
● Python Identifiers, Keywords
2. Conditional Statement ,Loops and File Handling
● Python Data Types and Variable
● Condition and Loops in Python
● Decorators
● Python Files and Directories manipulations
3. Python Core Objects and Functions
● String/List/Dictionaries/Tuple
● Python built in function
● Python user defined functions
4. Introduction to NumPy
● Array Operations
● Arrays Functions
● Array Mathematics
o Mean
o Standard Deviation
o Max
o Min
● Array Manipulation
o Reshaping
o Resizing
● Random function
● Transpose
5. Data Manipulation with Pandas
● Data Frames
● Series
● Creating Pandas DataFrame
● Selection in DFs
● Data Describe
● Data info
● Retrieving in DFs
● Reshaping the DFs – Pivot
● Combining DFs
o Merge
o Concatenation
6. Visualization with Matplotlib
● Matplotlib Installation
● Matplotlib Basic Plots & it’ s Containers
● Matplotlib components and properties
● Scatter plots
● Histograms
● Bar Graphs
● Pie Charts
● Box Plots
7. SciPy
● Hypothesis Testing using Scipy
● Shapiro Test
● Spearmaman Test
● T-Test of Independents
● Chi-Square Test
Module 1: Introduction to Power BI
1. Introduction to Business Intelligence & Power BI
● Need for Business Intelligence
● Evolution of Power BI
● What is Power BI? Features & Components
2. Power BI Ecosystem
● Power BI Desktop
● Power BI Service
● Power BI Mobile
● Power BI Report Builder vs Paginated Reports
3. Installation & Setup
● Downloading Power BI Desktop
● Installing and configuring settings
● Exploring the start screen and workspace
4. Power BI Interface Overview
● Ribbon and Navigation Pane
● Report, Data, and Model views
● Fields Pane and Visualizations Pane
5. Supported Data Sources
● Excel, CSV, SQL Server, Web APIs
● Cloud sources: Azure, SharePoint, OneDrive
● Folder as a data source
Module 2: Data Loading and Transformation with Power Query
1. Connecting to Data
● Import vs DirectQuery
● Loading from Excel, CSV, Web, SQL Server
● Data Preview and Load options
2. Power Query Editor Overview
● Power Query UI walkthrough
● Applied Steps and Query Settings pane
● Understanding queries and query dependencies
3. Column-Level Transformations
● Split column by delimiter/position
● Merge columns
● Change data types
● Rename columns
● Add column from examples
4. Row-Level Transformations
● Filter rows based on conditions
● Remove or keep rows
● Sorting data
● Grouping data with aggregations
5. Data Cleaning & Shaping
● Handling missing values: Replace, Fill up/down
● Remove duplicates
● Pivot and Unpivot operations
● Creating conditional columns
6. Advanced Power Query Techniques
● Creating custom columns
● Using Parameters and Parameter tables
● Creating custom functions
● Merging and appending queries
● Reference vs Duplicate queries
Module 3: Data Modeling in Power BI
1. Introduction to Data Modeling
● Purpose of data modeling in BI
● Star schema vs Snowflake schema
2. Relationships in Power BI
● Creating and managing relationships
● Active vs Inactive relationships
● Cardinality (One-to-One, One-to-Many, Many-to-Many)
● Cross filter direction
Module 4: Introduction to DAX (Data Analysis Expressions)
1. DAX Basics
● What is DAX? Why DAX is powerful
● Calculated columns vs Measures
● Syntax rules and naming conventions
● Operators and precedence
● Data types supported in DAX
2. Commonly Used DAX Functions
Aggregation Functions:
● SUM, AVERAGE, MIN, MAX, COUNT,DISTINCTCOUNT
Logical Functions:
● IF, SWITCH, AND, OR, NOT
Text Functions:
● CONCATENATE, LEFT, RIGHT, SEARCH, FORMAT
Date/Time Functions:
● TODAY, NOW, YEAR, MONTH, WEEKNUM, DATEDIFF, DATEADD
Filter Functions:
● CALCULATE, FILTER, ALL, VALUES, REMOVEFILTERS
Time Intelligence Functions:
● TOTALYTD, SAMEPERIODLASTYEAR, PREVIOUSMONTH, DATESYTD
3. Advanced DAX Concepts
● Understanding Row Context vs Filter Context
● Context Transition with CALCULATE
● Iterator Functions: SUMX, AVERAGEX, MAXX, RANKX
● Optimization and performance tips for complex models
Module 5: Visualizations in Power BI
1. Core Visual Elements
● Bar/Column charts, Line charts, Pie/Donut charts
● Matrix and Table visuals
● Cards and Multi-row cards
● Maps: Shape map, Filled map
2. Slicers and Filters
● Basic Slicers
● Date and Range slicers
● Sync Slicers across pages
● Drill-down and Drill-through
3. Formatting and Interactions
● Title, label, legend customization
● Tooltips, data labels, axis formatting
● Visual interaction controls
● Custom themes and color palettes
4. Advanced Visualization
● Bookmarks and Selections Pane
● Button navigation
● Custom visuals from marketplace
● Using Python/R for visuals
Module 6: Dashboard and Report
Development
1. Report Creation
● Designing professional dashboards
● Layouts: pages, grids, sections
2. Navigation and UX
● Page navigation buttons
● Tabs, bookmarks, and interactivity
3. KPI and Gauge Visuals
● Setting up KPIs using measures
● Gauge chart design for targets
4. Filters in Depth
● Report level vs Page level vs Visual level
● Using Filter Pane and slicers
5. Performance Optimization
● Reducing visuals
● Optimizing queries and model size
● Best practices for report speed
Module 7: Power BI Service (Cloud)
1. Power BI Service Overview
● Navigating the Power BI workspace
● Publishing from Desktop to Service
2. Datasets, Reports, and Dashboards
● Difference between reports and dashboards
● Creating live dashboards in the Service
3. Collaboration & Sharing
● Sharing dashboards with users
● Workspace roles and permissions
● Power BI apps for distribution
4. Data Refresh & Gateway
● Scheduled and manual refresh
● Installing and configuring Gateway
● On-premises data connectivity
5. Row-Level Security (RLS)
● Creating roles and rules
● Testing roles in Power BI Service
1.Foundations of Artificial Intelligence
- Explore the evolution of Artificial Intelligence (AI) from the 1950s to today, covering key milestones like the Turing Test and Deep Blue.
- Understand core AI concepts: Machine Learning (ML), Deep Learning (DL), Neural Networks, Perceptrons, and Transformers (e.g., BERT, GPT).
- Learn about AI types: Narrow, General, and Superintelligent.
- Discover real-world AI applications across industries like customer service, marketing, and finance.
2. Introduction to Generative AI
- What is Generative AI
- Evolution from Traditional AI → Gen AI
- Overview of Generative AI models Large Language Models (LLMs)
- GPT, Gemini, Claude (comparison & use cases)
3. Prompt Engineering & Task Automation
- What is Prompt Engineering & why it matters
- Prompt structure: Context → Task → Output
- Prompting Techniques
- Zero-shot prompting
- Few-shot prompting
- Chain-of-Thought prompting
- ReAct prompting (Reason + Act) Role-based prompting
- Common prompt mistakes & how to fix them
- Reusable prompt templates
- Get hands-on experience using ChatGPT and Claude for task automation
Module Domain: Exploratory Data Analysis
● Case study: Admission Prediction of Graduate Admissions from an Indian
Perspective
Module Domain: Univariate and Multivariate
● Data Analysis: Case Study: Melbourne Housing, house price prediction data
set
Module Domain: Bivariate Analysis and Pandas Profiling
● Case Study: Suicide rates overview 1985 to 2016
Module Domain: Data Preprocessing: Dealing with missing values and outliers
● Case Study: Data set which deals about some cities and states. Observe the
data and see if you can recognize missing values or garbage values in the
data set and handling them. Also treating the outliers in the data set.
Module Domain: Descriptive Statistics
● Case study: Cardio Good Fitness
Module Domain: Applied Statistics
● Case Study: Leveraging customer information for making business decisions.
● Case Study: Understanding factors for Churn in a Telecom Company
Module Domain: Visualization tools
● Case Study: Sales forecast analysis
Marketing Campaign Case Study
● Airline Fare case analysis
Project Work and Case Studies Power BI
❖ Project: Retail Sales Dashboard
● Sales vs Target KPIs
● Product category and region-wise breakdown
❖ Project: HR Analytics Dashboard
● Attrition rate, hiring trends
● Department-level analysis
❖ Project: Financial Performance Report
● P & L view, trend analysis, YoY comparison
❖ Project: Supply Chain and Inventory Dashboard
● Stock availability
● Supplier performance tracking
Course Highlights
Live sessions across 6 months
Industry Projects and Case Studies
24*7 Support
Who can apply for the course?
- Aspiring Data Analyst who are interested in switching careers.
- Graduate/post-graduate students wishing to pursue their careers in Data Analytics.
- Professionals who work with big data.
- Professionals from non-IT bkg, and want to establish in IT.
- Candidate who would like to restart their career after a gap.
- Machine learning is a topic of interest to professionals.
- Business analysts and those who work with data
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Industry Projects
Learn through real-life industry projects sponsored by top companies across industries
- Project Implementation with Real-Time Scenario.
Dedicated Industry Experts Mentors
Receive 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.
Batch Schedule
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Data Analytics Online Course Certification
This Data Analytics course is suitable for:
- Beginners:
Perfect for those new to data analytics, starting from basics for a smooth learning journey.
- Working Professionals:
Designed for experts willing to advance their careers or transition into positions through data.
- Business and Marketing Pros:
Valuable for professionals wanting to use data for strategic decision-making and business insights.
- IT and Tech Professionals:
Beneficial for IT professionals looking to specialize in data analytics and use cutting-edge technologies.
- Students and Graduates:
Ideal for students and recent graduates, providing practical knowledge and standout certifications.
- Aspiring Data Scientists:
A foundational course for those aspiring to become data scientists, covering key concepts and tools.
- Curious Individuals:
Welcoming anyone curious about data, with only basic math knowledge and a passion for exploration needed.
- Career Transition Seekers:
Support for those who are considering a transition into the attractive subject of data analytics as a career.
Our Data Analytics Classes in Pune are designed to provide a 360 degree learning experience. Dive into hands-on sessions, group discussions, and real-world case studies, ensuring that you gain practical expertise in alongside your knowledge of concepts set you apart in the competitive job market.
Boost your career prospects with relevant certifications:
- Microsoft Certified: Data Analyst Associate
- Microsoft’s stamp of approval for your data analytics proficiency.
- Google Data Analytics Professional Certificate
- A testament to your skills recognized by one of the tech giants.
- IBM Data Science Professional Certificate
- Unleash the power of data science with this prestigious certification.
- Cloudera Certified Associate (CCA) Data Analyst
- Validate your skills in handling big data with Cloudera’s industry-recognized certification.
- SAS Certified Data Scientist
- Master the world of analytics with this globally acknowledged certification.
- Tableau Desktop Specialist
- Showcase your expertise in data visualization with Tableau’s specialized certification.
- Data Analyst Nanodegree
- Propel your career forward with this comprehensive nanodegree program.
- Certified Analytics Professional (CAP)
- Become a certified analytics professional, recognized for your competence in the field.
- DASCA Data Science Certifications
- A suite of certifications to validate your data science skills across various domains.
- MicroMasters Program in Data Science
- A comprehensive program offering a deep dive into the foundations of data science.
Frequently Asked Questions
In the multifaceted field of data analytics, raw data is analyzed, investigated, and converted into valuable information. It includes a range of approaches, statistical procedures, and instruments to find patterns, trends, and important data that can guide strategic decision-making.
Our Data Analytics Course is designed to cater to a diverse audience. Whether you’re a newcomer to the field, a business professional looking to enhance analytical skills, or an IT professional seeking to specialize in data analysis, this course provides a comprehensive learning experience for individuals at all career stages.
The duration of this Data Analytics Course programme is [Specify Duration]. This timeframe is carefully designed to strike a balance between depth of learning and flexibility, allowing participants to grasp the intricacies of data analytics without compromising other commitments.
You will obtain practical experience working with prominent industry tools such as [Specify Tools]. These tools are widely used in the data analytics field, ensuring that you acquire practical skills and are well-prepared for real-world applications.
Despite having an elementary knowledge of mathematics is beneficial, there are not any rigorous requirements for enrolling in the Data Analytics Course. The course has been developed with inclusivity and accessibility in mind, with adjustments meant to suit students from diverse backgrounds.
Yes, post the successful completion of the Data Analytics Course, you will earn certifications from both 3RI Technologies and the associated institutions. These certifications will boost your worth in the job market and function as evidence of your obtained skill.
Absolutely! Our dedicated placement support team is committed to assisting you in exploring job opportunities, refining your resume, and preparing for interviews. Our goal is to make sure you have an easy transition into the workforce and are set up for success.
In this Data Analyst Course, you will be able to ace below shared skills :
- SQL
- Python
- Statistics And Probability
- Machine Learning
- Performance Metrics
- Time Series Forecasting
- Data Modeling
- PowerBI
- Microsoft Excel
In the contemporary world, where data is generated at an unprecedented rate, data analytics is essential in order to get useful insights. Organizations leverage data analytics to make informed decisions, identify market trends, enhance operational efficiency, and gain an advantage against competitors in their respective fields.
The curriculum includes a wide range of themes to ensure a well-rounded understanding of data analytics. Key areas include data exploration, statistical analysis, machine learning algorithms, data visualization techniques, and practical applications of analytics in various industries.
Absolutely! Our course is crafted to accommodate individuals who have various backgrounds, comprising novices with scant or no background in data analytics. The curriculum is designed to give participants a solid basis for learning through the addition of advanced subjects progressively after covering foundational ones.
Yes, our online platform provides the flexibility for participants in Pune to access the Data Analytics Course remotely. This online format allows you to learn at your own pace, providing convenience without compromising the quality of education.
The online Data Analytics Course employs a dynamic teaching methodology that includes live sessions, recorded videos, and interactive assignments. This approach ensures an engaging learning experience, fostering both theoretical understanding and practical application of data analytics concepts.
We empower the participants with numerous payment alternatives, such as [Specify Payment alternatives] in order to satisfy different financial preferences. Our goal is to make the Data Analytics Course accessible to individuals committed to enhancing their skills and advancing their careers.
Yes, you will be able to access the complete course materials and lectures after the course is completed in future. With the assistance of this function, you can review and strengthen your knowledge whenever essential, even after completing the course. It is an important tool for continuous learning and reference during your entire professional life.
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Data Analytics Certification
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