Data Analytics Course Training in Hyderabad, Bangalore, Pune & India (Online)
Your quest for a non-code coding career comes to an end here. Data Minds Analytics Data Analyst Course with Excel, Tableau, MySQL, Power BI & more relevant tools & skills is the right career choice. Lead your way with Road & Mind map’s, cheat sheets, and Chapt GPT usage to streamline your interview prep to land your dream job with over 100+ hiring partners.
4.8 Rating3 Months
Duration
2500+
Course Enrollments
100%
Placement Assistance
EMI
Partner Banks
Excel
T-SQL
Power BI
Power Apps
Statistics
Python
Key Highlights Of Course
Key Highlights of Course 100+ Hourse of Course
Student Mentorship
Capstone Projects
15+ Assignments
Backup Classes, Videos
100% Placements Assistance
EMI Option Available
Mock Interview
Interview Preparation
Resume Building After Every Module
Data & Business Analytics Course Curriculum
Data Analytics Training Modes
We have Physical instructor led classes happening at Himayath Nagar , Ameerept & Hitech City Branches, Hyderabad.
We teach Courses online Using tools like zoom, Microsoft Teams.
How E-Learning Works?
We have recorded videos of the trainer . This videos were recorded while taking the class. We kept in mind that student should feel the classroom environment while training. we request you to take a trail session. if you are satisfied you can take up the course.
For trail session and more information you can contact dataminds sales team on +917995159109 or write us at info@dataminds.in
We offer special Training for Companies we first understand the company, its services and we will diagnose the present marketing practices and then we prepare a customized curriculum that suits to the needs of that particular company.
For Corporate training you can Reach our Sales Team at +918008884446 or you can also write to us at info@dataminds.in
Data Analytics Projects
- Fraud Detection: Analyze financial transactions and patterns to identify potentially fraudulent activities and enhance security measures.
- Predictive Modeling: Build models to predict market trends, stock price movements, and investment opportunities using historical financial data.
- Credit Risk Assessment: Analyze customer data to assess creditworthiness and make informed lending decisions.
- Clinical Data Analysis: Analyze patient health records, lab results, and treatment outcomes to improve medical diagnoses and personalized treatments.
- Predictive Healthcare: Develop models to predict disease outbreaks, patient readmissions, and high-risk patient populations for preventive care.
- Healthcare Resource Allocation: Use analytics to optimize the allocation of medical resources, including staff, equipment, and facilities.
- Network Performance Analysis: Analyze network data to identify congestion points, optimize bandwidth allocation, and improve call quality.
- Customer Churn Prediction: Develop models to predict customer churn and proactively address issues to retain customers.
- Network Expansion Planning: Utilize analytics to identify regions with high data usage, aiding in network expansion planning.
- Predictive Maintenance: Analyze vehicle sensor data to predict maintenance needs, reducing downtime and improving overall reliability.
- Supply Chain Optimization: Use analytics to optimize the supply chain, minimizing delays and ensuring the availability of necessary parts.
- Sales Forecasting: Develop models to forecast demand for different vehicle models, aiding in production planning.
- Claims Analytics: Analyze historical claims data to identify patterns and trends, leading to improved claims processing and fraud detection.
- Customer Segmentation: Use analytics to segment customers based on risk profiles, allowing for tailored insurance offerings.
- Loss Ratio Prediction: Develop models to predict loss ratios and assess the profitability of different insurance policies.
- Market Analysis: Analyze property market data to identify trends in property values, rental rates, and demand for different property types.
- Tenant Behavior Analysis: Use analytics to understand tenant behavior, preferences, and potential rental income.
- Property Valuation Models: Develop models to estimate property values based on historical sales data, location, and property features.
Get Course Completion Certificate
Our Alumni Testimonials
Rated Avg 4.8* Out Of 5 by 2000+ Learners
Data Analytics Course Training
Short Term: Rs. 35,000/- | 3 Months
Long Term: Rs. 75,000/- | 6 Months
Data Minds Learning Plus
✓ Options to choose either Classroom, Online Or Self paced Learning
✓ 100+ Learning Hours
✓ World Class Learning Management System (Long Term – 1Year Access with Mentor facility)
✓ 10+ Projects
✓ 100% Placement Assistance
✓ Dedicated Placement Manager for Interview Process
✓ Access to the Instructor for doubts clarification during and after the course
✓ Connect to our Network with alumni ,working with different Industries
Our Students Hail From
Students, Working Professionals & Business Owners From Various Start Ups And MNC’s
FAQs for Professional Data Analytics
1.What is Data Analytics ?
Data Professionals have a wide range of roles, but most of the duties overlap.
The following are some fundamental job descriptions for Data Professionals:
Historical Data Analysis, Data Cleansing ,Exploration Data Analysis Data Visualisation, Summarizing Data KPIs using various Tools.
The functions of a Data Analyst are more focused on the analysis and utilization of historical data to gain insight into the current situation.
2. What will be the job opportunities in data analytics?
The role of data analysts varies depending on the industry in which they are employed, and there are a variety of job titles available. Common industries that employ data analysts include Retail, Healthcare, Banking and Finance, Transportation, Education, Construction, and Technology. There are various job titles available for data analysts, including Data Analytics, Data Scientist, Business Intelligence Analysts, Data Engineers, Quantitative Analysts, Data Analytics Consultants, Operations Analysts, Marketing Analysts, Project Managers, IT Systems Analysts, Transportation Logistics Specialist, and others.
3. What are the basic skills required to learn Data Analytics?
Learning data analytics can be advantageous if you possess technical skills such as data analysis, statistical understanding, data storytelling, communication and problem solving. Data analysts who often work with business stakeholders are likely to benefit from having a strong business insight and strategic orientation.
4.How much is the data analyst's salary worldwide?
The Data Analytics field is expected to offer a base salary of approximately INR 70,000 per month for freshers, while the minimum salary for experienced professionals is estimated to be between INR 15 Lpa to 35 Lpa based on overall exposure..
Below are some salaries as per glass door
Data Analyst the United States USD 69,517.
Data Analyst in UK, they earn £36,535.
Data Analyst in India, they earn INR 6.00,000.
Data Analyst in Canada, they earn C$ 58,843.
Data Analyst in Australia, they earn AUD 85,00.
Data Analyst in Germany, they earn 46,328 euros.
Data Analyst in Switzerland, they earn CHF 95,632.
Data Analyst in UAE, they earn AD 106,940.
Data Analyst in Saudi Arabia, they earn SAR 95,960.
Data Analyst in South Africa, they earn ZAR 286,000.
5. What if I miss a Classroom session?
If you don’t make it to class, we’ll send you a recording of your class. You’ll then be able to access it via your online
6. Who are my trainers?
We are committed to matching you with certified and highly qualified instructors who have decades of industry experience and are knowledgeable in their field.
7. Do I need to pay an additional fee for the certificate?
No, you’ll get the certificate included in the package.
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