Data Analytics Course & Certification
MindForge Provides 100% Placement Guaranteed IT Courses
Earn certification from EduCADD THINKWorks, India’s most trusted educational institution with over 25+ years of excellence, in collaboration with MindForge and the National Skill Development Corporation (NSDC). Pursue a high-paying career in Data Analytics with MindForge Infotech’s new Data Analytics Course and gain a competitive edge in the job market
The Data Analytics Course is designed to provide individuals with the skills and knowledge needed to extract, analyze, and interpret data to support informed decision-making. This course covers the fundamental concepts of data analytics, including data collection, cleaning, and transformation, as well as the use of various analytical tools and techniques. Participants will learn how to work with popular tools such as Excel, SQL, and Python to manipulate large datasets and derive actionable insights. Additionally, the course emphasizes data visualization, teaching students how to create impactful charts and dashboards using tools like Tableau and Power BI to effectively communicate their findings.
Beyond the technical aspects, the course also focuses on critical thinking and problem-solving skills, ensuring that participants can not only analyze data but also make data-driven recommendations. Real-world case studies and projects help students apply what they’ve learned, preparing them for roles in various industries such as finance, marketing, healthcare, and technology. By the end of the course, students will be able to manage the entire data analysis process, from data acquisition to reporting, positioning them for careers as Data Analysts, Business Intelligence Analysts, or Data Scientists.
SQL
Structured Query Language
SQL: Introduction to Database, Retrieve Data using the SQL SELECT Statement, Learn to Restrict and Sort Data, Usage of Single-Row Functions to Customize Output, Invoke Conversion Functions and Conditional Expressions, Aggregate Data Using the Group Functions, Display Data From Multiple Tables Using Joins, Use Subqueries to Solve Queries, The SET Operators, Data Manipulation Statements, Use of DDL Statements to Create and Manage Tables, Other Schema Objects, Control User Access, Management of Schema Object, ORACLE_DATAPUMP, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Retrieve Data Using Sub-queries, Regular Expression Support
Python
Backend Programming Language
Python: Introduction to Python, Python Interpreter, Basics of Python, Control Flow, Functions, Modules, Package, Numeric Types, String, List, Tuple, Dictionary, Set, Files, Exception Handling, Object-Oriented Programming OOPS concepts Defining, Multi-Threading, GUI Programming with Tkinter, Event Handling, Data Base Programming, Networking, Conversion of Python script to executable file, Live Projects
Power BI
Data Visualization Platform
Power BI: Power BI Complete Introduction, PBI Desktop Installation, PBI Desktop & Service Overview, Power Query, Power Pivot, Power View, Power BI Service
Tableau
Visual Analytics Platform
Tableau: Introduction to Machine Learning, Introduction of Statistics, Packages of Machine Learning, Exploratoy Data Analysis, Data prepressing, Regression Techniques, K-Nearest neighbours, Support Vector Machine, Decision Tree, Random Forest, Naive Bayes, Clustering, Gradient Descent, Dimensionality Reduction Techniques, Time Series Analysis
Advanced Excel
Microsoft Excel
Advanced Excel: Basic Microsoft Excel, Advanced File Tasks, Working with Functions and Formulas, Managing Tables in Microsoft Excel, Data Tools in Excel, Sparkline, Grouping & Outlining and Subtotals, What-If Analysis, Advanced PivotTables & Charts, Advanced Excel Tasks, Creating HLOOKUP and VLOOKUP Functions, Advanced Conditional Formatting, Advanced Lookup Functions, Advanced Functions in Excel
SQL
Structured Query Language
SQL: Introduction to Database, Retrieve Data using the SQL SELECT Statement, Learn to Restrict and Sort Data, Usage of Single-Row Functions to Customize Output, Invoke Conversion Functions and Conditional Expressions, Aggregate Data Using the Group Functions, Display Data From Multiple Tables Using Joins, Use Subqueries to Solve Queries, The SET Operators, Data Manipulation Statements, Use of DDL Statements to Create and Manage Tables, Other Schema Objects, Control User Access, Management of Schema Object, ORACLE_DATAPUMP, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Manage Objects with Data Dictionary Views, Manipulate Large Data Sets, Retrieve Data Using Sub-queries, Regular Expression Support
Python
Backend Programming Language
Python: Introduction to Python, Python Interpreter, Basics of Python, Control Flow, Functions, Modules, Package, Numeric Types, String, List, Tuple, Dictionary, Set, Files, Exception Handling, Object-Oriented Programming OOPS concepts Defining, Multi-Threading, GUI Programming with Tkinter, Event Handling, Data Base Programming, Networking, Conversion of Python script to executable file, Live Projects
Power BI
Data Visualization Platform
Power BI: Power BI Complete Introduction, PBI Desktop Installation, PBI Desktop & Service Overview, Power Query, Power Pivot, Power View, Power BI Service
Tableau
Visual Analytics Platform
Tableau: Introduction to Machine Learning, Introduction of Statistics, Packages of Machine Learning, Exploratoy Data Analysis, Data prepressing, Regression Techniques, K-Nearest neighbours, Support Vector Machine, Decision Tree, Random Forest, Naive Bayes, Clustering, Gradient Descent, Dimensionality Reduction Techniques, Time Series Analysis
Advanced Excel
Microsoft Excel
Advanced Excel: Basic Microsoft Excel, Advanced File Tasks, Working with Functions and Formulas, Managing Tables in Microsoft Excel, Data Tools in Excel, Sparkline, Grouping & Outlining and Subtotals, What-If Analysis, Advanced PivotTables & Charts, Advanced Excel Tasks, Creating HLOOKUP and VLOOKUP Functions, Advanced Conditional Formatting, Advanced Lookup Functions, Advanced Functions in Excel
AWS
Cloud Based Technology
AWS: Introduction to AWS, Amazon Simple Storage Service (Amazon S3) and Amazon Glacier Storage, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Elastic Block, Amazon Virtual Private Cloud (Amazon VPC), Network Address Translation (NAT) Instances and NAT Gateways, Elastic Load Balancing, Amazon CloudWatch, and Auto Scaling, Databases and AWS, SQS, SWF, and SNS, Domain Name System (DNS) and Amazon Route 53, Amazon ElastiCache, Additional Key Services, Security on AWS
Industry Recognized Certification
MindForge Infotech
Data Analyst
Career Opportunities After Data Analytics Training
As a Data Analyst, you’ll be responsible for collecting, processing, and performing statistical analyses on large datasets. Your role will involve identifying trends, creating reports, and helping businesses make data-driven decisions. Data Analysts are employed across industries like finance, healthcare, retail, and marketing.
₹ 3L – ₹ 12LPer AnnumHiring Companies
Data Scientists go beyond analysis, applying advanced techniques like machine learning, predictive modeling, and statistical methods to solve complex business problems. This role often requires a mix of analytical, programming, and data engineering skills, and is highly in demand across tech, finance, and research sectors.
₹ 3L – ₹ 12LPer AnnumHiring Companies
As a Data Engineer, you’ll design, build, and manage the architecture that enables data collection, storage, and analysis. This role involves creating pipelines for data management and ensuring the reliability of data systems. Data Engineers work closely with Data Analysts and Data Scientists to facilitate efficient data usage.
₹ 3L – ₹ 12LPer AnnumHiring Companies
Data Consultants work with various clients to help them make sense of their data and implement data-driven strategies. This role involves a mix of technical expertise and business acumen, allowing consultants to offer customized solutions for improving business performance.
₹ 3L – ₹ 12LPer AnnumHiring Companies
Product Analysts focus on using data to improve the development, performance, and success of products. They analyze user behavior, market trends, and feedback to guide product design, features, and updates.
₹ 3L – ₹ 12LPer AnnumHiring Companies
- Role: Big Data analysts work on extracting actionable insights from large, complex datasets, often using cloud computing and distributed computing systems.
- Responsibilities: Analyzing big data, working with Hadoop, Spark, and other big data technologies, and creating scalable solutions.
- Industries: Finance, telecom, energy, healthcare.
₹ 3L – ₹ 12LPer AnnumHiring Companies
Global Leaders In Training
MindForge Infotech is in association with EduCADD & ThinkWorks Infotech, pioneers in skill-based learning for over 2 decades as a software training institute. MindForge is an idea derived with a vision to make quality Tech skill-oriented education available and affordable to every job aspiring youth of the nation. MindForge vision is implemented by relentlessly staying up with latest technology trends across the education value chain covering Grooming, Assessment, Industry ready skills and Soft skills to match requirements of industry today.
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Why Choose MindForge Infotech
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Learn from seasoned professionals with real-world experience in the IT industry.
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Choose between online and in-person classes to suit your schedule and learning preferences.
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Gain practical skills through hands-on projects and real-world case studies.
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Prepare for industry-recognized certifications that enhance your employability and career prospects.
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Benefit from dedicated career services, including job placement support and internship opportunities.
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Enjoy lifetime access to course materials, ensuring you can revisit and refresh your knowledge anytime.
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Best Data Analyst Training in India
Best Data Analyst Training in India
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FAQ
We offer a variety of IT training courses, including web development, data science, cybersecurity, cloud computing, and more.
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