Data Analytics and Data Visualization
- Certification Courses, IT Courses
- 479 (Registered)
Are you looking to build a solid footing in Data Analytics and Data Visualization? SkillSchool introduces this certificate program with a curriculum, featuring theory and practical knowledge development. Master the art of representing large complex data into simple and understandable insights and build efficient business intelligence solutions for complex business issues. Get ready to prepare for a successful career in data analytics and visualization as you gain job-ready skills.
Duration: 3 Months (48 Hours) Live Online Classes: Interactive one-on-one Learning
2 Days Class in a week x 2 hours per day
38 Hours focus on Course Module and 10 Hours of Capstones, Soft skills training, and interview preparation
Beginner-Friendly Level: Fresh Graduates can also join
Industry-experienced trainers: Learn from the best
Industry-Based Curriculum: Course modules tailored to the IT sector by blending the latest trends
Exploring key concepts in Data Visualization and ML
24/7 Assistance
Soft Skills Training: Overall skill development
Job Preparation Support: Resume writing activities, and Mock Interviews
Program Overview
Data is the new fuel that drives businesses in today's technologically driven era. With increasing technological intervention, the volume and complexity of data is growing. Businesses today demand data experts who can analyse huge volumes of data and interpret the valuable insights in a simple and comprehensible manner for better business decision-making.
Join SkillSchool to develop the knack for identifying key information and effectively interpreting it, through our comprehensive 3-month Certification course on Data Analytics and Data Visualization.
The Data Analytics and Data Visualization Certification course is designed for individuals wishing to excel in the data analytics and visualization field. The course curriculum has been designed meticulously and ensures essential skills training including data analysis techniques, developing effective visualization using Power BI, Tableau and an array of Python Libraries like NumPy, Pandas and Matplotlib.
Completing this course will make you an efficient candidate for jobs that demand data-driven competencies. Learners will be able to interpret data and effectively data insights, which is a highly in-demand skill today. Get ready for high-income job roles like Data Analyst, Data Visualization Specialist, Business Intelligence Analyst, etc.
Course Content
Retail Banking Professional Program Curriculum
Module 1- Essential of Python for Data Analysis
Basic Python programming
- Python Installation
- Python Variables
- Python Operators
- Python Data Structures-List, Dictionary, Tuple, Set
- Conditional Statement in Python
- Python Loops and Control Structure
- Python Functions
- Python Exception Handling
- Python File Handling
Module 2- Python Libraries for Data Science
Introduction to NumPy Arrays
- Creating Arrays using NumPy
- Array Attributes and Transformations
- Array Filtering and Slicing
- Array operations using NumPy
Introduction to Pandas
- Creating Pandas Dataframes
- Slicing and Filtering
- Data Manipulation using Pandas
- Sorting Dataframes
- Merging Dataframes
Introduction to Matplotlib
- Types of Charts in matplotlib
- Drawing Charts using Matplotlib
- Understanding Components of matplotlib
Introduction to Advanced Visualization
- Working with Seaborn
- Types of graphs in Seaborn
- Components of Seaborn
Module 3- EDA
Data Wrangling
- Introduction to EDA
- Importance of data wrangling
- Introduction to data cleaning
- Regular expressions
- Implementation of Regular expressions
- Missing value treatment
- Understanding Groupby in Depth
- Covid data wrangling
Data Exploration
- Introduction to EDA
- Descriptive statistics
- Implementation of Descriptive statistics
- Distribution analysis with boxplot and histograms
- Implementation of Distribution analysis
- Correlation analysis
- Implementation of Correlation analysis
- Implementing Hypothesis testing
Data Visualization using Tableau
- Introduction to Data Visualization
- Introduction to Tableau
- Publishing Tableau workbook
- Creating basic charts
- Creating calculating fields
- Table calculations
- LOD expressions
- Enabling filters in charts
- Writing Expression in Tableau
Module 4- Machine Learning
Machine learning overview
- Course Introduction
- Introduction to Machine Learning
- Common ML Algorithms
- Introduction to sklearn
Linear regression
- Introduction to linear regression
- Implementing linear regression
- Implementing Multiple linear regression
Logistic regression
- Logistic regression for classification
- Implementing Logistic regression using sklearn
NB
- Naive Bayes Classifier
- Naïve Bayes Code demo
Evaluation metrics for classification algorithms
- Evaluation metrics for classification models-demo
- Evaluation metrics for classification models
KNN
- using KNN for classification
- Implementing KNN
Tree-based models for classification and regression
- Decision tree classifier with Python Implementation.
- Decision tree regressor with Python Implementation.
Support vector machines
- SVM for classification
- SVM for classification Implementation in Python
Clustering
- K-means clustering
- K-means clustering Implementation
- Agglomerative clustering
- Agglomerative clustering Implementation
- Life Expectancy Prediction
- Predict Credit Card defaults
- Predict Sales of Retail Stores
Module 5- Power BI
Getting Started with PowerBI
- Course Structure and outline
- Course Project Introduction and Setting Course Expectations
Introducing Microsoft PowerBI
- Downloading and installation
- Power BI Services and Architecture
- Exploring PowerBI desktop interface and workflow
Connect & Transform the Raw Data
- Types of Power BI Data Connectors and Query Editor
- Introduction to DAX
- Text Functions in PowerBI.
- String Functions in PowerBI.
- Numeric Functions in PowerBI
- Date & Time Functions in PowerBI
- ADDING INDEX COLUMNS & Conditional Columns
- Appending Files from a Folder
- Additional Data Types & Categories in Power BI
Build a Relational Data Model
- What is a “Data Model”? And Creating data models
- Understanding Data Tables vs. Lookup Tables
- Understanding Primary Key vs. Foreign Key
- Creating Table Relationships in Power BI Desktop
Design Interactive Power BI Reports
- Intro to the Power BI Report View
- Adding Basic Charts to Power BI Reports
- Matrix Visuals
- Filtering with data slicer
- Visualizing Data with text cards, maps
- Publishing to powerBI servers
Become a Certified IT Professional
3 Months Program
Develop critical data analytical and visualization competencies through a comprehensive curriculum with 32 hours of content learning and 16 hours of capstone projects.
One-on-one Online Course
Attend 2 hours of class, 2 days a week from your home more conveniently and affordably and acquire industry-demand skills.
Build expertise with an Industry-Guided Curriculum
Engage in an industry-ready tailored curriculum to gain foundational knowledge of tools and subject matter and develop job-demand skills.
Learn from experienced faculty
Get trained under well-qualified professionals known for their expertise, experience and exceptional knowledge.
Capstone Projects
Practical projects including real-world Case studies, Mock interviews and resume-building to be fully prepared for the job market.
Access to Learning Resources
Supplement your course learning by accessing study resources and materials, including journals, articles, videos, industry reports, etc.
24/7 Support
Access to personalized support for any questions and queries throughout the course.
- Candidates must possess Bachelor’s Degree from a recognised University or Institution with a minimum of 50% marks.
- Knowledge of programming language is desirable.
- Candidates having a solid knowledge of statistics is desirable.
This course is open to:
- Individuals desiring to build their career in the field of analytics.
- Working Professionals: wishing to learn data analytics and Visualization skills.
- Career Switchers: professionals considering a career transition to the data analytics and visualization field.
- Entrepreneurs: seeking BI Analytics.
- Fresh graduates: wishing to build a career with Data Analytics and Visualization expertise.
- Mid-level managers.
Program Outcomes
Develop the skills to interpret and communicate data insights into compelling stories.
Capable of using data-driven insights and integrating them into making critical business decisions.
Be adept at various visualization tools and develop data-driven findings in easily understandable visualizations.
Explore industry innovations and trending practices and build mastery of the new concepts led by industry experts.
Program FAQs
SkillSchool designed the course for every interested learner who wishes to equip themselves with advanced data analytics and visualization skills, which are in high demand in the market. The course is open for both freshers as well as working professionals like Data Analyst, Business Analysts, Data Scientists, etc.
The course will be a great boost for individuals seeking to progress further and advance in their careers. Learners may expect to get efficiently skilled in the techniques of data analysis, and statistical methods, and master the use of advanced tools like PowerBI, Python libraries, Tableau, etc.
Upon the completion of this certification course in Data Analytics and Data Visualization, participants can go on to pursue roles like:
- Business Intelligence Analyst
- Data Analyst
- Data Visualization Specialist, etc.
Candidates should have fundamental knowledge of programming languages and data visualization tools like PowerBI and Tableau. However, they are not mandatory and learners who have no background in data analytics may expect to gain all these basic skills through this certification course. We have designed the course to accommodate every desiring individual, whether fresh graduates, career switchers or professionals working in data-driven fields. They will develop strong analytical and critical thinking skills along with technical skills.
Upon the completion of the course, candidates may look forward to finding employment in the following roles:
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Data Engineer
- Data Visualisation Specialist
- Machine Learning Engineer
The SkillSchool’s Data Analytics and Data Visualization Course is for 3 months equivalent to 48 hours, with 38 hours designated to course content and the remaining 10 hours for building soft skills, capstone projects and interview preparation.
The SkillSchool’s Certification course in Data Analytics and Data Visualization is completely online. Classes are held twice a week for 2 hours each. Participants can attend the online live classes from the comfort of their homes or offices.
Yes. All the learners will be issued a Certificate by SkillSchool upon the successful completion of the course. However, to be awarded the certificate, learners must actively participate in all the online sessions and practical projects and perform well during the course. No certificates are issued to students who do not attend the classes or complete the projects.
Several core topics are covered in the Certification course, categorised under different course modules/Units. The main modules are:
- Essential of Python for Data Analysis
- Python Libraries for Data Science
- EDA
- Data Visualization using Tableau
- Machine Learning
- Power BI
The cost of the Data Analytics and Data Visualization Certification Course is ₹60,000 for the whole course.
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