A Data Analytics Certification Course is designed to equip learners with the skills to analyze, interpret, and visualize data effectively. This data analytics course covers essential tools and techniques, including Excel, SQL, Python, Tableau, and Power BI, enabling learners to extract actionable insights from complex datasets. By enrolling in a data analytics certification course, students gain hands-on experience with real-world projects, dashboards, and reports, learning to make data-driven decisions. The course prepares learners for careers in business intelligence, data analysis, and data-driven strategy, enhancing employability and providing a strong foundation in modern analytics practices.
Data Analytics Certification Course
Live Online & Classroom Training
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Upcoming Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 2025
Week days
(Mon-Fri)
Online/Offline
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
Course Fee
October 2025
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Job-Centered Approach
Convenient Hrs
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Industry-Accredited
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We Tie-Up with 1000+ Leading IT and MNC Companies
This Course Includes
- FREE Demo Class
- 0% EMI Loan Facilities
- FREE Softskill & Placement Training
- Tie up with more than 500+ MNCs & Medium Level Companies
- 100% FREE Placement Assistance
- Course Completion Certificate
- Training with Real Time Projects
- Industry-Based Coaching By MNC IT Professionals
Expected Criteria for Assured Placement
The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.
- 80% of coursework completion helps us arrange interviews in required companies.
- 2 or 3 projects to be done for the selected course to ace the technical round effectively.
- Ensure attending the placement training right from the first day of the selected course.
- Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
- Utilize the internship training program at SLA for the complete technical skills.
- Collect the course completion certificate and update the copy to the placement team.
- Ensure your performance indicator meets the expectation of top companies.
- Always be ready with the updated resume that includes project details done at SLA.
- Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts
+91 89256 88858
SLA's Distinctive Placement Approach
1
Tech Courses
2
Expert Mentors
3
Assignments & Projects
4
Grooming sessions
5
Mock Interviews
6
Placements
Key Features of the Data Analytics Certification Course
- Comprehensive Curriculum – Covers core topics like statistics, Python, SQL, data visualization, and advanced analytics.
- Hands-on Learning – Real-time projects and case studies to apply data analytics techniques in practical scenarios.
- Expert Trainers – Learn from industry professionals with proven expertise in analytics and business intelligence.
- Latest Tools & Technologies – Training on tools such as Excel, Tableau, Power BI, Python, R, and SQL.
- Flexible Learning Modes – Options for both classroom and online sessions to suit different learning preferences.
- Industry-Relevant Projects – Work on real-world datasets for business insights, trend analysis, and decision-making.
- Placement Support – Resume building, mock interviews, and placement assistance to help you start or grow your career.
- Certification – Industry-recognized certification that validates your data analytics skills.
Future Scope of Data Analytics Certification Course
Rising Industry Importance
Data has become the backbone of modern businesses, helping organizations predict trends, enhance customer experiences, and improve decision-making. With the continuous growth of AI, machine learning, and automation, the role of data analytics professionals is becoming more critical than ever.
Diverse Career Opportunities
A data analytics course equips learners with the skills needed to work in a variety of roles, including Data Analyst, BI Specialist, Data Scientist, and Analytics Consultant. These positions are in high demand across multiple domains such as banking, retail, healthcare, IT, and manufacturing, ensuring flexibility in career choices.
Attractive Salary Growth
Professionals with strong data analytics expertise are among the top earners in the technology field. With increasing reliance on data, organizations are willing to offer competitive pay packages and rapid career advancement to certified experts, making it a highly rewarding career option.
Global Career Scope
Since data analytics is a universally in-demand skill, certified professionals can build careers not only in their home country but also with leading companies worldwide. Many global businesses prefer candidates with a strong foundation in analytics, offering opportunities to work across different industries and regions.
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Tools covered for Data Analytics Certification Course
Excel
For data cleaning, analysis, pivot tables, and dashboard creation.
SQL & MySQL
To manage, query, and analyze structured databases.
Python
For data analysis, automation, and integration with libraries like Pandas and NumPy.
Power BI
Business intelligence tool for building reports and visual insights.
Hadoop & Spark
Big Data tools for processing and analyzing large-scale datasets.
Jupyter Notebook
An interactive environment for coding and documenting analytics workflows.
Git & GitHub
For version control and collaboration on data projects.
Data Analytics Certification Course Course Syllabus
Download SyllabusThe Data Analysis Course Syllabus is designed to equip learners with the essential skills needed to work with real-world data. It covers programming, data manipulation, database management, analytics, and visualization, enabling students to transform raw data into actionable insights. This course provides a practical, hands-on approach to help learners become job-ready professionals in the growing field of data analytics.
Module 1: Core Python
- Introduction to Python programming: syntax, variables, and data types
- Control structures: loops, conditionals, and error handling
- Functions, modules, and packages for code reusability
- Object-Oriented Programming (OOP) concepts: classes, objects, inheritance, and polymorphism
- Working with Python libraries for data handling and basic analytics
Module 2: Pandas Functions
- Data manipulation: filtering, sorting, and indexing datasets
- Handling missing data, duplicates, and inconsistent records
- Grouping, merging, concatenating, and pivoting datasets
- Exploratory Data Analysis (EDA) and statistical operations
- Time series analysis and working with large datasets
Module 3: SQL & Advanced SQL Functions
- Writing basic and complex SQL queries
- Using joins, subqueries, aggregations, and nested queries
- Window functions, indexing, and query optimization
- Managing relational databases and integrating SQL with Python for analytics
- Real-time dataset querying and performance analysis
Module 4: Excel Processing
- Data cleaning and transformation using formulas and functions
- Pivot tables, charts, and conditional formatting
- Creating dynamic dashboards and reports
- Data validation and automation using macros
- Integration of Excel with Python and SQL for advanced analytics
Module 5: Power BI
- Introduction to Power BI and its interface
- Building interactive dashboards, reports, and KPIs
- Data modeling, relationships, and DAX formulas
- Data visualization best practices and storytelling
- Connecting Power BI to various data sources (SQL, Excel, APIs)
Module 6: Visualizations
- Creating charts, graphs, and plots using Python libraries and Power BI
- Understanding different types of visualizations for different data
- Data storytelling and presenting actionable insights
- Customizing visualizations for dashboards and reports
- Best practices for effective communication of data insights
Project Practices on Data Analytics Certification Course Training
Project 1Sales Data Analysis
Analyze sales data to identify trends and patterns, helping businesses improve their strategies and make informed decisions.
Project 2Employee Performance Tracking
Track employee performance using data to identify areas for improvement and optimize workforce productivity.
Project 3Market Basket Analysis
Study customer purchasing behavior to recommend products together, helping businesses boost sales through targeted promotions.
Project 4Website Traffic Analysis
Analyze website traffic data to understand user behavior, improve user experience, and optimize marketing efforts.
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The Placement Process at SLA Institute
- To Foster the employability skills among the students
- Making the students future-ready
- Career counseling as and when needed
- Provide equal chances to all students
- Providing placement help even after completing the course
Trainer Profile
- Industry Experts – Trainers with 8+ years of experience in Data Analytics, Business Intelligence, and Data Visualization.
- Certified Professionals – Hold certifications in Python, SQL, Tableau, Power BI, and other analytics tools.
- Hands-On Project Experience – Worked on real-time projects in finance, retail, healthcare, and IT sectors, bringing practical knowledge to students.
- Interactive Teaching Approach – Focus on live demos, case studies, and practical exercises for better understanding.
- Career Mentoring – Provide guidance for resume building, interview preparation, and career planning in data analytics roles.
- Up-to-Date Knowledge – Continuously updated with the latest analytics tools, frameworks, and industry trends.
- Student-Focused Guidance – Offer doubt-clearing sessions, personalized support, and project assistance for all learners.
Data Analytics Certification Course Course FAQ
Who can enroll in this course?
This course is ideal for freshers, graduates, working professionals, and career switchers who want to build a career in data analytics.
Are there any prerequisites for this course?
No strict prerequisites are required. Basic understanding of computers and spreadsheets is helpful, and programming concepts are taught from scratch.
What tools and technologies will I learn?
You will learn Python, Pandas, SQL, Advanced SQL, Excel, Power BI, and Data Visualization techniques used in real-world analytics projects.
Will I work on real-time projects?
Yes, the course includes hands-on projects, case studies, and practical exercises to provide real-world experience.
What career opportunities can I get after completing this course?
Graduates can pursue roles like Data Analyst, Business Intelligence Analyst, Data Scientist, Analytics Consultant, and other analytics-related positions.
Do you provide certification?
Yes, you will receive an industry-recognized certification upon successful completion of the course.
Is placement assistance provided?
Yes, students receive resume building, interview preparation, and placement guidance to help start their careers in data analytics.
On Average Students Rated The Data Analytics Certification Course Course 4.70/5.0
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