Data Analytics Course
Earn a recognized Data Analytics course certification in India and master data analysis from basics to advanced techniques. Gain hands-on experience in data collection, cleaning, visualization, and statistical analysis through real-world projects. Build job-ready skills and benefit from placement support and job assistance, preparing for in-demand roles like Data Analyst, Business Analyst, Data Scientist, and BI Analyst across leading industries.
Overview
This Data Analytics course offers a comprehensive, module-based learning experience designed to build practical, in-demand skills. You will explore Excel and SQL for data organization and querying, Python/R for data manipulation and statistical analysis, and Tableau and Power BI for data visualization and dashboards. Through hands-on projects, you’ll apply these skills to real-world datasets, gaining the ability to analyze, interpret, and visualize data efficiently, while developing a solid foundation in data analytics workflows.
Key Features
Online/Offline Classes
100% Job Assistance
Real-World Projects
Access To Course Videos
Interactive Doubt Solving Sessions
Mentor Support
Tools and Technologies Covered
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Data Analysis
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Database Management
Course Curriculum
Build your career in Data Analytics by learning DBMS and Digital Reporting with Excel, SQL, Python, and cloud platforms like Azure, AWS, and GCP.
Master Digital Reporting and Visualization in our Data Analytics Course. Gain hands-on experience with Tableau, Power BI, and Alteryx to create actionable business insights from complex data.
Gain expertise in Advanced Quantitative Analytics using SAS, Python, and Advanced Excel. Strengthen analytical foundations to solve real-world business and financial problems.
Advance your Data Analytics career with Machine Learning and AI. Learn Python, R, TensorFlow, and Scikit-learn to build predictive models for business growth.
Learn Project Management for Data Analytics with JIRA, Trello, Asana, and MS Project. Develop skills to plan, track, and deliver successful analytics projects.
Projects Included In This Course
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Lorem Ipsum has been the industry standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Why Enroll In Our Data Analytics Course?
Up To Date Curriculum
Our data analytics curriculum is designed by industry experts, matches top multinational company requirements for a comprehensive and up-to-date learning experience.
Assured Placement
Benefit from a 98% placement rate with our students securing positions in leading companies like Amazon, Flipkart, Cognizant, KPMG, and more.
100% Job Assistance
Receive comprehensive career support, including resume building, mock interviews, networking guidance, and recruitment drives.
Real-World Projects
Gain practical experience through real-world data analytics projects at Dhibrahm Analytics, understanding how things work in the field.
Expert Instructors
Learn from top experts from IITs and industry professionals, providing the exact knowledge companies seek. Their experience guides you on what to focus on.
24/7 Personal Mentors
We Have a dedicated mentor available 24/7 to assist with questions or problems you may encounter during your learning journey.
Flexible Learning
Choose from online, offline, weekend, regular, and various class formats tailored to your convenience. For more details, call us now.
Flexible Payment Plans
We offer EMI options for students to pay their fees in installments. If you need any kind of information related to EMI, please contact us via call or email
Soft Skills Emphasis
Recognize the importance of soft skills and communication in data analytics jobs, focusing on developing these alongside hard skills.
Up To Date Curriculum
Our data analytics curriculum is designed by industry experts, matches top multinational company requirements for a comprehensive and up-to-date learning experience.
Assured Placement
Benefit from a 98% placement rate with our students securing positions in leading companies like Amazon, Flipkart, Cognizant, KPMG, and more.
100% Job Assistance
Receive comprehensive career support, including resume building, mock interviews, networking guidance, and recruitment drives.
Real-World Projects
Gain practical experience through real-world data analytics projects at Dhibrahm Analytics, understanding how things work in the field.
Expert Instructors
Learn from top experts from IITs and industry professionals, providing the exact knowledge companies seek. Their experience guides you on what to focus on.
24/7 Personal Mentors
We Have a dedicated mentor available 24/7 to assist with questions or problems you may encounter during your learning journey.
Flexible Learning
Choose from online, offline, weekend, regular, and various class formats tailored to your convenience. For more details, call us now.
Flexible Payment Plans
We offer EMI options for students to pay their fees in installments. If you need any kind of information related to EMI, please contact us via call or email
Soft Skills Emphasis
Recognize the importance of soft skills and communication in data analytics jobs, focusing on developing these alongside hard skills.
FAQs
1. What is Data Analytics?
Data analytics is the process of gathering, analyzing and interpreting data to extract actionable insights. It helps organisations in making intelligent decisions, boosting efficiency, and reducing risk. There are various types of analytics: descriptive (what happened), diagnostic (why it happened), predictive (what might happen), and prescriptive (what to do next).
Businesses use data analytics to solve business problems across various sectors. Many learners begin their learning journey with structured data analytics courses, or data analytics certification courses, which instill basic and foundational skills needed to start, understand, and work with data.
2. What are the skills required to become a successful Data Analyst?
To become a skilled data analyst, you need a strong combination of technical and analytical skills. Mastering Excel, SQL, and Python is essential for effective data handling, while proficiency in data visualization tools like Tableau and Power BI adds a competitive edge. Most analytics roles also require a basic understanding of statistics, probability, and programming in R to interpret trends and patterns. Additionally, strong problem-solving, logical reasoning, and communication skills are highly valued. Our Data Analytics Course in India covers both technical and soft skills, preparing students for real-world analytics roles and top company placements.
3. What are some of the career options that can be pursued after learning Data Analytics?
Once you complete your data analyst course in India and get a recognised data analytics certificate, you can pursue various roles. Here are some of the common job titles that you can look for:
- Data Analyst
- Business Analyst
- Marketing Analyst
- Product Analyst
- Financial Analyst
- Risk Analyst
- Operations Analyst
- Customer Insights Analyst
4. Do I need to know programming languages or statistics to learn Data Analytics?
No prior programming or statistics knowledge is required to start learning data analytics. You can enroll in a beginner-friendly Data Analytics Course for Beginners that starts from the basics and gradually introduces essential concepts. In the course, you will learn statistics, basic data handling, and programming fundamentals using Python and R. Many Online Data Analytics Courses and Data Analyst Certification programs in India provide hands-on data analytics training in tools like Excel, SQL, and Tableau, making them ideal for students from non-technical backgrounds. Learn Data Analytics from Scratch and build a strong foundation for a successful career in data analytics.
5. How is Data Analytics used?
Data Analytics has varied uses across specialisms and functions. For marketers, data analytics helps keep a track of campaign performance, customer engagement, and lead generation. Sales people benefit from data analysts in forecasting and pipeline management. In operations, it aids in process optimization and inventory control.
In the real world, applications of data analytics help with understanding customer purchase behaviour in e-commerce, aid in reducing wait times in hospitals, detecting fraud activities in banking, and delivering logistics supply chain businesses. Most Data Analytics Courses in India use real life case studies from industries like retail, healthcare, BFSI, and technology.
6. What kind of industries need Data Analytics?
Here are some of the industries that use data analytics to understand their customers and their purchase patterns, improve operations and manage inventory, and generate leads:
- IT and software
- BFSI and financial services
- Healthcare and Pharmaceuticals
- Retail and e-commerce
- Manufacturing
- Telecommunications
- Education Technology (EdTech)
- Logistics and Transportation
- Media and Advertising
- Government and Public Policy
In recent years, there has been a surge in demand for professionals with data skills, and this demand has led to an increase in data analytics certificates and analytics courses in India.A simple google search on “data analytics courses near me”, will help you find specialised options catering to different sectors and business needs.
7. What is the current market demand for Data Analysts?
The demand for data analysts is growing rapidly as industries across the globe become more data-driven. In India alone, job postings in data analytics, data science, business intelligence, and data analytics jobs have surged to hundreds of thousands in recent years. This sharp rise is driven by the digital transformation of businesses, which has made data-backed decision-making a core necessity. As a result, there is a rising demand for data analyst certification courses, data analytics programs with placement, and job-ready data analytics training. Whether you’re a fresher, a working professional, or someone looking to switch careers, developing skills in data analytics offers strong prospects in today’s job market.
8. What is the difference between Data Science and Data Analytics?
Though data science and data analytics are often used interchangeably, there is a stark difference between the two. Data analytics analyzes existing data to extract actionable insights, using tools like SQL, Excel, Tableau, and basic statistical techniques. Data analysis for business comes in handy while answering specific business questions like “what caused the sales dip last month?” or “what profile of customer buys our products?” Data science, on the other hand, is all about building predictive models that use machine learning algorithms and work with unstructured data such as texts or images. Data science requires a deeper understanding of programming languages and also demands mathematical skills.
Data Analytics Courses for beginners provide a strong foundation, making it more accessible for those looking to start their journey, while serving as a way to foray into data science careers later.