Overview of Data Analytics
- Importance and applications in business, healthcare, finance, and more
- Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Advance Professional Courses
Data Analysis Course
You’ll gain hands-on experience with tools like Excel, SQL, Tableau, Power BI, and Python
Based on 99 Reviews
- Duration : 1 Month / 3 Months / 6 Months
- Language: English
- Certificate of Completion
Data Analytics Course Overview
Looking to improve your data-driven decision-making skills? Our data analysis course will teach you the principles and tools used in data visualization, statistical analyses, and predictive modelling. You will become proficient in tools like Excel, SQL, Python, and Tableau to analyze complex data in an efficient manner. You will receive hands-on training with real-world projects and case studies. Our courses are designed for everyone; whether you are experienced or a total beginner, our expert-led programs make sure the learning you get is industry-relevant. Enroll in our data analysis courses today, and advance your data analytics knowledge!
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Why Choose EduNova for Data Analysis Course?
EduNova Data Analysis Course provide rigorous training on data visualization, statistical techniques, and data-driven decision-making. Our expert-led curriculum consists of hands-on projects, real-world case studies, and instruction on using industry-recognized tools like Excel, SQL, and Python. Because our data analysis courses are designed for everyone, our courses ensure every facet of learning for the new data analytics field or enhance experienced training. At the end of our data analysis courses, we make sure you will receive the training you need while utilizing flexible learning options, optimizing your learning, gaining experiential learning, and receiving certification. Join EduNova and Data Analysis Courses, and open new career opportunities in data analysis!
Key Features
Globally Recognised Certification
Dedicated Placement Cell & HR Support
Live Online and Offline Classes
Dedicated doubts Session
Lifetime Career Guidance & Job Change Support
Highly Skilled Trainers
Course Topics You will Learn
Data Analytics Process
- Data Collection, Cleaning, and Preprocessing
- Exploratory Data Analysis (EDA)
- Data Visualization
- Reporting and Decision Making
Data Types and Structures
- Types of Data: Structured, Semi-structured, Unstructured
- Data Formats: CSV, JSON, XML
- Data Structures in Python: Lists, Tuples, Dictionaries, Pandas DataFrame
Data Collection Methods
- Web Scraping and APIs
- Data from Databases (SQL)
Data Cleaning and Preprocessing
- Missing Data Handling (Imputation, Removal)
- Outlier Detection and Treatment
- Data Normalization and Standardization
- Data Transformation Techniques (e.g., encoding categorical variables)
Python for Data Analytics
- Introduction to Python Libraries: Pandas, NumPy, Matplotlib, Seaborn
- Data Manipulation with Pandas: Filtering, Grouping, Aggregating Data
- Data Aggregation and Pivot Tables
NumPy for Data Handling
- Arrays and Matrices in NumPy
- Mathematical and Statistical Operations
- Array Indexing and Slicing
Matplotlib and Seaborn for Data Visualization
- Creating Basic Plots (Line, Bar, Histogram, Boxplot)
- Customizing Visualizations (Titles, Labels, Legends)
- Advanced Visualizations (Heatmaps, Pair Plots)
Data Visualization Tools for Data Science
Tableau
- Introduction to Tableau Interface
- Connecting Tableau to different data sources
- Creating visualizations: Bar charts, Line charts, Scatter plots, Pie charts
- Building Dashboards
- Advanced Visualizations: Heatmaps, Tree Maps, Bullet Charts
- Interactive features: Filters, Parameters, Tooltips, and Dashboard Actions
- Publishing and Sharing Tableau Dashboards
Power BI
- Introduction to Power BI Interface
- Importing and Transforming Data with Power Query
- Data Modeling in Power BI: Relationships, DAX Functions
- Creating Visualizations: Bar charts, Line charts, and Maps
- Building Reports and Dashboards
- Interactive Features: Slicers, Drill-through, and Tooltips
- Power BI Service: Publishing, Sharing, and Collaborating
Introduction to Predictive Analytics
- Types of Predictive Models
- Use Cases: Customer Churn Prediction, Sales Forecasting
Supervised Learning Algorithms
- Linear Regression for Predictive Analysis
- Decision Trees and Random Forests
- Support Vector Machines (SVM)
- k-Nearest Neighbors (k-NN)
Model Evaluation Techniques
- Train-Test Split
- Cross-Validation
- Model Performance Metrics: Accuracy, Precision
This Course Include
- Language: English & Hindi
- Duration : 1 Month / 3 Months / 6 Months
- Learning Mode: At Center ( Only Offline Classes )
- Certificate of Completion
Eligibility Criteria
✅ Anyone with basic computer knowledge can join our courses based on their preferences and career goals.
✅ Suitable for all age groups and backgrounds, including:
- School Students – Build a strong foundation in coding and technology.
- Job Seekers & Undergraduates – Gain in-demand skills to enhance employability.
- Working Professionals & Government Employees – Upskill for career growth and new opportunities.
- Homemakers – Learn and explore career opportunities in the tech industry.
Premium Course
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Who will Teach You
Haninder Kaur
Data Analyst
About Mrs. Haninder Kaur
Haninder Kaur, an MCA graduate with over 5 years of experience, specializes in Python, Artificial Intelligence (AI), and Machine Learning (ML). She is passionate about leveraging these technologies to develop innovative solutions that solve complex problems. Haninder has contributed to projects involving data analysis, predictive modeling, and automation. Her ability to break down complex concepts into digestible knowledge makes her an excellent mentor for those eager to explore AI and ML. Haninder’s expertise and forward-thinking approach position her as a key player in the rapidly evolving tech landscape.
Based on 99 Reviews
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Let Your Certificates Speak
- ISO: 9001:2015 Certified Data Analytics Certification.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.
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Frequently Asked Questions
Why is the perfect eLearning Placement program Unique?
They are unique because of their unique approach i.e; Placement, training then Hike. Firstly, they get students placed then give 8 Months of training in any Certification of your choice and at least a 70% hike after 10 months.
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Click on Side menu- Choose Courses- Select the course you want to see- Course Detail page will open- click on Start Learning on top- now you can Enrol for the course.
Do you offer certifications upon course completion?
Yes. We offer certifications upon course completion.
What skills are in-demand in the job market?
Python
Data science
Artificial Intelligence
Digital marketing
Cyber Security
Data Analytics
Quantum computing/ Cloud computing
Android App development
Web development
Can I pay my fee in installments?
Yes, we offer installment plans for fee payments. Contact us.
What skills are in-demand in the job market?
Python
Data science
Artificial Intelligence
Digital marketing
Cyber Security
Data Analytics
Quantum computing/ Cloud computing
Android App development
Web development
