What is Data Analytics?
Digital marketing refers to the use of digital channels, platforms, and technologies to promote products, services, or brands to consumers.
Data Analytics Certification Course in Mysore
Accelerate your career with new age marketing skills in the digital world. Learn Digital Marketing Skills by Industry Experts with Practicals Session.
This Data Analytics Certification Course transforms you into a well-rounded data analytics professional.
The course syllabus is designed to meet the latest and trending industry requirements, ensuring relevance and applicability. This program is created and developed by industry experts with years of experience in data analytics.
Trainers will guide you with practical exercises and real-world examples to boost your confidence in the data analytics profession.
The data analytics course offered by Chanakya Digital Academy in Mysore is handled by experienced trainers certified in industry-leading tools and technologies. The program aims to enable trainees to master concepts, from basic to advanced levels, through hands-on practical knowledge.
As per current industry standards, companies seek candidates proficient in data analytics concepts and experienced in practical applications. To meet this demand, our teaching approach emphasizes real-world practical exercises and project-based learning.
Course Modules
Overview of Data Analytics
Sources of Data
Data Preparation
Basics of Statistics
Overview of Data Repositories
Data Mining
Types of Data
Data Wrangling
Tools for Data Mining
Understanding different file formats
Data Cleaning
Drawing Insights
Course Highlights
Empower your decision-making with actionable insights through this comprehensive course.
Introduction to Data Analytics
Fundamentals and significance in decision-making.
Data Collection & Cleaning
Techniques for organizing and preparing data.
Statistical Analysis
Understanding key metrics, trends, and insights.
Data Visualization
Tools like Tableau, Power BI, and Excel for effective storytelling
SQL for Data Management
Writing queries and managing databases
Programming in Python/R
Data analysis, modeling, and automation.
Machine Learning Basics
Introduction to predictive modeling and AI-driven analytics
Real-World Projects
Hands-on experience with industry-relevant datasets.
Tools & Technologies
Mastering software like Python, Excel, and cloud platforms.
Career Support
Resume building, interview preparation, and job placement assistance.
The Importance Of Data Analytics
Data analytics plays a crucial role in today’s world, transforming raw data into actionable insights. Here’s why it matters:
- Informed Decision-Making: Enables businesses to make data-driven decisions, reducing risks and improving outcomes.
- Improved Efficiency: Identifies inefficiencies and streamlines processes for cost-effective operations.
- Enhanced Customer Understanding: Provides insights into customer behavior, preferences, and trends, aiding personalized services.
- Competitive Advantage: Helps businesses stay ahead by identifying market opportunities and trends.
- Revenue Growth: Optimizes pricing strategies, marketing campaigns, and sales processes to boost profitability.
- Problem-Solving: Unveils patterns and solutions to complex business challenges.
- Predictive Insights: Forecasts future trends through advanced modeling techniques.
- Operational Transparency: Offers clarity and accountability by tracking performance metrics in real time.
In a data-driven world, analytics is the key to innovation, growth, and sustainability across industries.
Tools You Going to Learn
Each tool serves different purposes, catering to specific data sizes, complexities, and analytical needs.
- Microsoft Excel: A widely used tool for basic data manipulation, analysis, and visualization.
- Tableau: A powerful tool for creating interactive data visualizations and dashboards.
- Power BI: Microsoft’s business analytics tool for creating detailed reports and sharing insights.
- Python: A versatile programming language with libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization.
- R: A statistical programming language ideal for data analysis, visualization, and predictive modeling.
- SQL: Essential for managing and querying large datasets stored in relational databases.
- Google Analytics: A tool for tracking and analyzing website traffic and user behavior.
- Apache Spark: A big data framework for fast, distributed data processing.
- SAS: A comprehensive tool for advanced statistical analysis and business intelligence.
- Knime: An open-source platform for data integration, processing, and analysis.
- Alteryx: A tool for preparing, blending, and analyzing data with minimal coding.
- Matplotlib & Seaborn: Python libraries for creating detailed and attractive data visualizations.
- BigQuery: Google’s cloud-based data warehouse for analyzing large datasets efficiently.
- RapidMiner: A platform for data science workflows including data prep, machine learning, and deployment.
- QlikView/Qlik Sense: Tools for creating associative data visualizations and analytics dashboards.
What Our Students Says
First I don't know about digital marketing after ,I joining Chanakya digital academy I would thank Mahesh sir for teaching all the concepts related to the digital ,marketing and a great human with kind heart ,covering the the concepts easily.
Chanakya Digital Academy is the best Friendly Digital marketing Academy in Mysore, As a student I can say One of the best experiences in digital marketing at Chanakya Digital Academy.
I have completed my digital marketing certificate from Chanakya Digital Academy. Best institute for online digital marketing courses in Mysore.
Fee is also affordable for all students. I will recommend this institute. Thanks
Data Analytics Job Roles
Data Analyst:
- Responsibilities: Collect, clean, and interpret data to generate insights.
- Skills: SQL, Excel, data visualization tools (e.g., Tableau, Power BI), statistical analysis.
Data Scientist:
- Responsibilities: Design and implement data models, algorithms, and predictive analytics.
- Skills: Python, R, machine learning, deep learning, statistical analysis.
Data Engineer:
- Responsibilities: Design and maintain databases and data infrastructure for efficient data processing and analysis.
- Skills: SQL, Python, Hadoop, Spark, cloud platforms (e.g., AWS, Google Cloud).
Data Architect:
- Responsibilities: Create blueprints for data management systems, ensuring data is accessible and secure.
- Skills: Data modeling, SQL, database design, cloud architecture, big data technologies.
Data Visualization Specialist:
- Responsibilities: Create interactive and visually appealing data visualizations to communicate insights effectively.
- Skills: Tableau, Power BI, D3.js, data storytelling, graphic design principles.
Operations Analyst:
- Responsibilities: Analyze operational data to improve business processes, efficiency, and decision-making.
- Skills: Data analysis, Excel, process optimization, problem-solving.
Big Data Analyst:
- Responsibilities: Analyze large datasets (often in real-time) to extract insights and trends for business decisions.
- Skills: Hadoop, Spark, NoSQL databases, data warehousing, cloud computing.
Data Quality Analyst:
- Responsibilities: Ensure that data is accurate, consistent, and reliable across systems.
- Skills: Data profiling, data validation, data governance, SQL, attention to detail.
Data Consultant:
- Responsibilities: Provide expert advice on data analysis processes, tools, and strategies to improve business decisions.
- Skills: Problem-solving, industry knowledge, data management, communication.
These roles cater to various aspects of data analytics, ranging from data processing and modeling to presenting insights and improving business strategies.
Have Any Questions?
FAQ's
Top Queries Asked By Our Students
Our training will be a combination of theory and practice for each module. We also provide live exposure on projects and give assignments to test your skill sets.
Yes we provide training material online, so that you can use it from any device. Also we provide access to our online portal where you can follow future updates on Data Analyst.
Yes, we provide course completion certificates on successful completion of the training session.
We know that many of the students want to settle in life by joining a job as quick as possible. Keeping those requirements in mind we started offering the placement assurance program for those who have completed the Paid Internship program. We want to make sure that all our students have strong knowledge both in theory and practice, so that they will be able to face the interviews with confidence.
Our own past records show that, all students who were punctual and who followed the instructions well, got placed with decent pay packages and some of them got multiple job opportunities as well. We take the responsibility of placing you in a suitable company after you have qualified with all the basic requirements.
Important: Our placement assurance program also depends upon the efforts from your side. Please note that we are not a placement agency, where we take money and show you the jobs. Our goal is to enable you with the skills and show the opportunities and help you succeed. We will assist you till you get a job and even after it. This is not a Placement Guarantee program, where in you pay the fee and we give you a job, irrespective of your performance.
It depends on many factors. Please talk to us in the orientation session.
Career Support
Resume Building
Interview Q&A
Soft Skill Training
Mock Interviews
Career Counselling
1 on 1 Mentorship
Job Portal Training
Job Updates
100% Practical Training
We Have Two Batches For You
Regular Batches
If you’re a student and can come on a regular basis than you can enroll for a regular batch for Digital Marketing Course which is from Monday to Friday, Five days a week.
Weekend Batches
If you’re a business owner or professional having time only on Saturdays and Sundays than weekends Digital Marketing Course batches suit you best. Enroll for weekend batches.