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Data Analytics

Data Analytics

Data Analytics

From Beginning

Data Analytics Course is Future Generation

Data Analyst Course with Placement in Ahmedabad

Master Data Analytics – From Basics to Advanced, with Career Support at Patel Web Solution

Introduction to Data Analytics

Data Analytics is the process of analyzing raw data to uncover meaningful insights, patterns, and trends that support informed decision-making. In today’s data-driven world, analytics has become a core function across industries like finance, healthcare, e-commerce, marketing, and technology.

At Patel Web Solution, our Data Analyst Course in Ahmedabad is designed to equip you with in-demand analytical skills and tools—along with placement assistance to help launch your career in data analytics.

Types of Data Analytics

  1. Descriptive Analytics Understand what has happened in the past using summaries and reports. Tools: Dashboards, Excel, BI tools.
  2. Diagnostic Analytics Identify the reasons behind past outcomes by exploring relationships in the data. Tools: Statistical testing, root cause analysis.
  3. Predictive Analytics Forecast future trends using statistical models and machine learning. Tools: Regression analysis, Python, time series forecasting.
  4. Prescriptive Analytics Suggest actionable strategies based on predictive insights. Tools: Decision trees, optimization models, simulations.

Tools You’ll Master in Our Course

  • Excel – For quick analysis and basic dashboards
  • SQL – To access and manage data efficiently within databases
  • Python & R – For advanced data analysis and machine learning
  • Tableau & Power BI – For stunning data visualizations and dashboards
  • Big Data Tools – Apache Hadoop, Spark for large-scale data processing

Career-Focused Curriculum

Our Data Analytics Training in Ahmedabad includes hands-on assignments, case studies, and capstone projects that prepare you for real-world challenges. From data cleaning and statistical analysis to predictive modeling and dashboarding, we cover everything employers look for in a skilled data analyst.

Future Trends in Data Analytics

  • AI-Powered Analytics: Enhance decision-making through automation and advanced algorithms
  • Real-Time Data Processing: Get insights instantly for faster business actions
  • Augmented Analytics: Let AI assist in data discovery and storytelling
  • Data Ethics & Compliance: Learn best practices in data privacy and governance (GDPR, HIPAA, etc.)

Why Choose Patel Web Solution?

  • Placement Assistance with resume building & interview training
  • Industry-Expert Mentors for hands-on guidance
  • Project-Based Learning for real-world skills
  • Course Certification recognized by employers
  • Job-Ready Curriculum focused on practical outcomes

Who Should Enroll?

  • Graduates & freshers looking to enter the data analytics field
  • Career-focused professionals aiming to reskill or move into data analytics
  • Business & marketing professionals wanting to leverage data
  • Entrepreneurs and freelancers looking to make data-driven decisions

Launch Your Career as a Data Analyst

Whether you're just starting out or looking to specialize, our Data Analyst Course in Ahmedabad with Placement is your gateway to the fast-growing analytics industry. Learn from experts, work on real datasets, and build a portfolio that gets you noticed by employers.

Level : 1

Fundamental Languages

  • C,C++
  • Core Python
  • SQL

Level : 2 - Data Analytics

  • Introduction to Data Science and Analytics
  • Overview of data science and its applications
  • Data analytics lifecycle
  • Introduction to Python for data analysis
  • Data Collection and Preprocessing
  • Data sources and collection methods
  • Data cleaning and preprocessing techniques
  • Handling missing data and outliers
  • Exploratory Data Analysis (EDA)
  • Descriptive statistics
  • Data visualization with Matplotlib and Seaborn
  • Correlation analysis
  • Statistical Analysis
  • Probability distributions
  • Hypothesis testing
  • Regression analysis (linear and multiple)
  • Data Visualization and Storytelling
  • Advanced visualization techniques
  • Creating interactive dashboards with Plotly and Dash
  • Effective data presentation and storytelling
  • Introduction to Machine Learning
  • Supervised vs. unsupervised learning
  • Model evaluation and validation
  • Basic classification and regression algorithms

Level : 3 - Advanced Excel

  • Section 1: Basic Excel Operations
  • Section 2: Data Management
  • Section 3: Data Analysis
  • Section 5: Advanced Data Analysis
  • Section 4: Advanced Excel Topics

Level : 4 - Power BI

  • Data Modeling
  • Data Visualization
  • Creating Reports
  • Data Analysis Expressions (DAX)
  • Advanced DAXPower BI ServicePower BI Integration
  • Power BI Service
  • Power BI Integration

Hands-on Projects:

  • Customer Churn Prediction: Analyze customer data to predict which customers are likely to churn and develop retention strategies.
  • Stock Price Prediction: Build a time series forecasting model to predict stock prices using historical data and external factors.
  • Sentiment Analysis of Social Media Data: Analyze social media posts to determine public sentiment about a product or brand.
  • Recommendation System: Develop a collaborative filtering-based recommendation system for an e-commerce platform

Duration : 6 to 8 Months

...

Can I Get a Free Demo Lecture before joining your Institute?

Yes, Sure. You can attend a Free Demo Lecture.


Can You Provide a Certificate after Training Completion?

Yes, We will Provide ISO 9001:2015, Government Approved Certificate.


Can I Pay Fees through EMI?

Yes, you Can Pay your Fees in EMI options.


Can I get a good Discount in Course Fees?

Yes, you will get a good Discount in One Short Payment Option.


Can any Non IT Students can join your Institute?

Yes,our 50% students are from Non IT Background.


Can I get a Job Placement?

Yes, 100%. We have our own Job Placement Consultancy – My Job Placement.


Is there any Soft skill Training for Job Placement?

Yes, we are providing FREE Spoken English Sessions, Interview Preparation & Mock Round for Interviews.


Can you adjust my Timing for Training Session?

Yes Sure, We arrange Our Batches according College Students & Working Professionals.


Is my Course will run in fix Time duration?

As per our standard Rules, We have decided a fix duration for every courses. But if any student requires a few more time then no problem.


Can you provide an Internship?

Yes, We are providing 15/45 Days Internship & 3 to 12 Months Internship also we are providing with Live Project Training & Job Placement.

Here are some common data analytics interview questions with sample answers to help you prepare:

What is Data Analytics?

Data analytics is the process of examining raw data to identify patterns, trends, and insights. It involves techniques like cleaning, analyzing, and interpreting data to support decision-making.

What are the different types of data analytics?

  • Descriptive Analytics: Explains what has happened.
  • Diagnostic Analytics: Explains why something happened.
  • Predictive Analytics: Forecasts future events based on historical data.
  • Prescriptive Analytics: Recommends actions to optimize outcomes.

What is the difference between data analytics and data science?

Data analytics focuses on analyzing existing data to find insights, while data science involves creating models, algorithms, and tools to predict and automate outcomes using advanced techniques like machine learning.

What are some common data cleaning techniques?

  • Handling missing values (e.g., using mean imputation or dropping rows).
  • Removing duplicates.
  • Standardizing data formats.
  • Correcting inconsistent data.
  • Detecting and handling outliers.

What are your favorite data visualization tools? Why?

I enjoy using Tableau and Power BI for their ease of use and interactivity. For more customizable visualizations, I use Matplotlib and Seaborn in Python.

How do you handle missing data in a dataset? Answer:

  • Analyze the extent and pattern of missing data.
  • Remove rows or columns with excessive missing data.
  • Use imputation methods like mean, median, mode, or predictive algorithms. Employ domain knowledge to fill in values.

What is the purpose of A/B testing in data analytics?

A/B testing compares two versions of a product, webpage, or feature to determine which performs better. It involves splitting users into groups and measuring the impact of changes using statistical analysis.

What is the difference between supervised and unsupervised learning in data analytics?

  • Supervised Learning: Uses labeled data to train models (e.g., classification, regression).
  • Unsupervised Learning: Finds patterns in unlabeled data (e.g., clustering, association).

How do you ensure data security and privacy during analysis?

  • Encrypt sensitive data.
  • Anonymize personally identifiable information (PII).
  • Follow compliance guidelines like GDPR or HIPAA.
  • Limit data access to authorized personnel.

What metrics would you use to measure the success of a data analytics project? Answer:

  • Accuracy of predictions or models.
  • Reduction in time or costs.
  • Improvement in decision-making quality. Stakeholder satisfaction.

How do you stay updated with trends in data analytics?

I follow industry blogs, attend webinars, participate in data science communities, and take online courses on platforms like Coursera or LinkedIn Learning.

Why Join Us?

  • Profesional Trainer
  • Well Structured Courses
  • Flexibility in Timing
  • Easy Fees Installments
  • Reliable Fees Packages
  • 100% Guarantee Result
  • Personal Coaching
  • Interview Preparations
  • Certificate of Course
  • Job assistance
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