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Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
Google Data Analytics Projects
Become a CCNP Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Sales Dashboard in Excel
Import a sample retail dataset and visualize key monthly metrics like revenue and transaction counts using charts and simple trendlines.
Customer Segmentation in SQL
Write SQL queries to classify customers into segments (e.g., high vs. low spenders), explore patterns in purchase frequency and volume.
Data Cleaning with Python
Use Pandas to clean a dataset—handle missing values and duplicates, and perform basic aggregation (group by category, compute averages).
Exploratory Data Analysis (EDA) with Python
Use Python libraries like Pandas and Seaborn to explore datasets and find patterns. Gain hands-on experience in cleaning, transforming, and data.
Sales Forecasting Using Time Series Analysis
Analyze past sales data to predict future trends and demand. Learn the application of statistical models to forecast and support business planning.
Customer Churn Analysis
Use data to identify factors leading to customer attrition. Develop skills in feature engineering and interpreting predictive model outputs.
Sentiment Analysis on Social Media Data
Analyze text data to gauge public opinion using NLP techniques. Explore advanced data mining and text processing to extract actionable insights.
Building a Recommendation System
Develop a system to suggest products based on user behavior and preferences. Understand collaborative filtering and machine learning approaches to personalization..
End-to-End Data Analytics Project
Integrate data collection, cleaning, analysis, visualization, and presentation in one comprehensive project. Simulate real-world business problems to showcase your full data
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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13 - Oct - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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15 - Oct - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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18 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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19 - Oct - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
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- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Google Data Analytics Course Overview
Google Data Analytics Training Institute in Hyderabad Potential Career Paths
Completing Google Data Analytics Course in Hyderabad opens doors to diverse and high-demand roles across industries. Graduates can pursue careers such as Data Analyst, Business Intelligence Analyst, Junior Data Scientist, Operations Analyst, or Data Visualization Specialist. These roles are present in sectors like finance, healthcare, retail, IT services, e-commerce, and startups. With experience, professionals can transition into advanced roles like Analytics Consultant or Data Analytics Manager, especially with strong portfolios and practical project experience.
What Are the Requirements for a Google Data Analytics Certification in Hyderabad?
- Basic Computer Literacy You should be comfortable using spreadsheets, browsing files, and installing software tools like Excel or SQL-based platforms.
- Logical Thinking and Problem-Solving Skills A data analyst needs the ability to spot patterns, understand relationships, and interpret results logically from raw data.
- No Coding Required to Start The Google Data Analytics course starts at a beginner level and does not require prior programming knowledge—Python or R come later.
- English Language Proficiency Since the course materials, case studies, and tools are in English, basic reading and comprehension are important.
- Reliable Internet and Laptop Access Access to a stable internet connection and a computer with basic specifications is essential for online modules and tools like Tableau or Python.
Reasons to Consider Enrolling in Google Data Analytics Placement
Hyderabad is home to many top tech companies, startups, and analytics-focused roles, making it an ideal location for practical training and placement. By enrolling in a Google Data Analytics Training Institute in Hyderabad, you gain access to hands-on projects, resume workshops, and interview training aligned with industry needs. Many institutes in Hyderabad partner with local businesses and recruiters to help you transition from learner to hired professional. With a growing demand for data talent, placement-linked programs accelerate career opportunities in a highly competitive market.
The Most Recent Google Data Analytics Training Course Tools
Today’s Google Data Analytics training with certification are powered by a blend of cloud-based and open-source tools. Learners work with Google Sheets, SQL (BigQuery/MySQL), Tableau, Power BI, Python (Pandas, NumPy), and R, all used in real-world analytics environments. Tools like Google Colab allow coding in Python with no setup, while Tableau Public and Looker Studio simplify visualization sharing. These tools are updated regularly to reflect industry trends, helping learners stay job-ready in a fast-evolving tech landscape.
Career Opportunities After Google Data Analytics
Data Analyst
Analyze complex datasets to identify trends, create reports, and support decision-making using Excel, SQL, and visualization tools. Often collaborates with business teams to translate data insights into actionable strategies.
Business Intelligence Analyst
Develop dashboards and BI reports using Power BI or Tableau to help organizations make data-driven strategic decisions. Responsible for maintaining data accuracy and consistency across reporting systems.
Data Scientist
Build predictive models and machine learning algorithms using Python and R to solve business challenges and optimize processes. Also involved in feature engineering, model evaluation, and communicating results.
Data Engineer
Design, construct, and maintain data pipelines and databases to ensure smooth data flow and accessibility for analytics teams. Focuses on optimizing data architecture for scalability and performance.
Marketing Analyst
Use data analytics techniques to evaluate marketing campaigns and customer behavior to optimize marketing strategies. Works closely with marketing teams to improve ROI and campaign targeting.
Operations Analyst
Analyze operational data to improve business processes, efficiency, and performance metrics within organizations. Plays a key role in identifying cost-saving opportunities and workflow enhancements.
Skill to Master
Data Cleaning and Preparation
Data Visualization Techniques
Statistical Analysis
SQL Query Writing
Excel for Data Analysis
Python Programming for Analytics
Power BI and Tableau Dashboard Creation
Predictive Modeling
Machine Learning Basics
Exploratory Data Analysis
Business Problem Solving
Report Generation and Presentation
Tools to Master
Microsoft Excel
SQL
Python
Power BI
Tableau
Jupyter Notebook
R Programming
SAS
Apache Hadoop
Google Analytics
Google Data Studio
Google Data Studio
Learn from certified professionals who are currently working.
Training by
Rajesh, having 7 yrs of experience
Specialized in: Business Intelligence Analyst, Google Data Analyst, Marketing Analyst, and Operations Analyst.
Note: Rajesh is renowned for his expertise in predictive analytics and his ability to simplify complex data concepts for learners at all levels.
We are proud to have participated in more than 40,000 career transfers globally.
Google Data Analytics Certification
Yes, Google Data Analytics Course in Hyderabad guarantee a job. It validates your skills and shows recruiters that you’ve been trained in industry-relevant tools and techniques.
No specific technical background is required to take the Google Data Analytics Certification exam. It’s designed for beginners and those switching careers. However, basic computer skills, logical thinking, and comfort with numbers will help.
Yes, the Google Data Analytics Certification exam is 100% online. You can take it at your convenience through Coursera, which hosts the certification under Google’s Career Certificate program. .
Yes, ACTE’s Google Data Analytics course is a valuable investment if you’re aiming to break into the data industry. It provides in-depth training aligned with the official Google curriculum, practical projects for hands-on learning, and full placement support.
Frequently Asked Questions
- Yes, ACTE offers free career counseling sessions to help you determine if the Google Data Analytics course aligns with your career goals.
- Instructor-led live sessions
- Hands-on practical exercises and tool usage
- Case studies and real-world data projects
- Quizzes and interactive assessments
- Regular doubt-clearing sessions and group discussions
- IT firms
- Consulting companies
- Fintech startups
- Healthcare analytics firms
- Yes, the course prepares you for the official Google Data Analytics Certification in Hyderabad exam (hosted via Coursera). ACTE provides support throughout the certification process and issues an additional course completion certificate from ACTE.
- Absolutely. In fact, ACTE encourages you to include all live and industry-relevant projects in your final portfolio.