Professional Certificate Course in Data Analytics

Get ahead in just six months with hands-on learning and real-world project experience.

Full-time Job Assistance
1804+ Enrolled
  • Hands-On Learning: Master the latest analytics tools through practical exercises.
  • Career Support: Resume building & job search guidance.
  • Job Placement: Boost your chances with assured interviews.
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  • 1700+

    Careers Transformed

  • Live & Interactive

    Learning Format

  • 3-4 Months

    Duration

  • Full-time Job

    Assistance Program

Highlights

  • 100+ Live Hours

  • Real World Practical Lab Exercises

  • 200+ Hours of Self-Paced Learning

  • Master 10+ Data Analytics Tools

  • Real-World Projects & Case Studies

  • Job Placement Assistance with Leading Companies

  • Capstone Projects: Demonstrate your skills with real-world industry projects.

Soaring Demand for Data Analytics Professionals

Demand for Data Analytics Certified Professionals

Annual Salary

Top Hiring Companies

Job Growth

10-12%

Data analyst roles are seeing an annual growth rate

The most effective project-based immersive learning experience.

Tools Covered

Skills Covered

  • Data Cleaning & Preparation
  • Exploratory Data Analysis
  • Statistical Analysis
  • Data Visualization
  • Predictive Modeling
  • Machine Learning
  • Big Data Analytics
  • Data Mining
  • SQL Query Optimization
  • Dashboard Creation & Reporting

Our Proven S.C.A.L.E Learning Approach

  • Gain comprehensive knowledge from expert-led training sessions.
  • Access on-demand learning modules for flexible study.
  • Engage with interactive learning tools and detailed explanations.
  • Build hands-on projects to simulate real-world development.
  • Complete guided coding exercises to reinforce learning.
  • Develop full-scale applications that showcase your skills.
  • Take regular quizzes and coding challenges to track progress.
  • Participate in auto-graded assessments at each module's end.
  • Get feedback from industry professionals to refine your understanding.
  • Analyze detailed reports on skill development and growth.
  • Identify areas that need improvement with advanced learner insights.
  • Benefit from peer discussions and expert feedback for deeper understanding.
  • Apply your skills in practical, work-like scenarios.
  • Build a portfolio of professional-grade projects to showcase to employers.
  • Prepare for interviews with mock tests and real-world challenges.

Curriculum

Section 1
  1. 1. Overview of Data Analytics in Business
  2. 2. Understanding Data Sources
  3. 3. Types of Data: Structured and Unstructured
Section 2
  1. 1. Excel Fundamentals
  2. 2. Excel for Data Analytics
  3. 3. Understanding Pivot Tables & Data Visualization with Excel
  4. 4. Understanding Data and File Security
  5. 5. Getting started with VBA Macros
  6. 6. Statistics & Advanced Statistical Functions in Excel
  7. 7. Practicals | Assignments | Case Studies
Section 3
  1. 1. Introduction to SQL
  2. 2. MySQL Installation and Setup
  3. 3. Working with Databases and Tables
  4. 4. Basics of Database Normalization and Entity Relationship Model
  5. 5. Understanding SQL Operators
  6. 6. Stored Procedures and Triggers
  7. 7. Managing Database Concurrency
  8. 8. Understanding SQL Functions
  9. 9. Understanding SQL Optimization and Performance
  10. 10. Understanding SQL Views and Stored Procedures
  11. 11. Working with SQL: Variables, Select, Join, GroupBy, and Subqueries
  12. 12. Data Aggregation and Filtering Techniques
  13. 13. Understanding User-defined Functions
  14. 14. Creating Reports with SQL
  15. 15. Practicals | Assignments | Case Studies
Section 4
  1. 1. Introduction to Python and IDEs
  2. 2. Python Basics
  3. 3. Data Manipulation with Numpy, Pandas, and Visualization
  4. 4. Understanding Data Wrangling with Pandas
  5. 5. Understanding Advanced Data Manipulation Techniques
  6. 6. Understanding Data Cleaning and Preprocessing Techniques
  7. 7. Exploratory Data Analysis (EDA) with Python
  8. 8. Data Visualization with Matplotlib and Seaborn
  9. 9. Practicals | Assignments | Case Studies
Section 5
  1. 1. Classification reports (evaluation on recall, precision, f-support, etc.)
  2. 2. - r², adjusted r², mean squared error, and other metrics
  3. 3. Techniques to evaluate model performance in classification and regression tasks.
  4. 4. Practicals | Assignments | Case Studies
  5. 5. Confusion Matrix: Assessing true/false positives and true/false negatives
Section 6
  1. 1. Descriptive Statistics
  2. 2. Probability
  3. 3. Inferential Statistics
  4. 4. Hypothesis Testing and Statistical Inference
  5. 5. Central Limit Theorem
  6. 6. Bayesian Probability
  7. 7. Practicals | Assignments | Case Studies
Section 7
  1. 1. Introduction to Machine Learning
  2. 2. Regression
  3. 3. Classification
  4. 4. Clustering
  5. 5. Supervised Learning
  6. 6. Unsupervised Learning
  7. 7. Feature Engineering and Feature Scaling
  8. 8. Model Selection and Hyperparameter Tuning
  9. 9. Cross-validation Techniques
  10. 10. Practicals | Assignments | Case Studies
Section 8
  1. 1. Gathering insights from time series data
  2. 2. Building forecasting models using time series techniques
  3. 3. ARIMA and SARIMA Models
  4. 4. Exponential Smoothing Techniques
  5. 5. Decomposition of Time Series
  6. 6. Practicals | Assignments | Case Studies
  7. 7. Detecting trends, seasonality, and cycles in time series data analysis.
  8. 8. Use forecasting models for actionable solutions from time-series insights.
Section 9
  1. 1. Business Domains
  2. 2. Understanding the business problems and forming hypotheses
  3. 3. Exploratory Data Analysis to gather insights
  4. 4. Data Storytelling: Narrating stories in a memorable way
  5. 5. Practicals | Assignments | Case Studies
Section 10
  1. 1. Problem Statement and Project Objectives
  2. 2. Approach for the Solution
  3. 3. Optimum Solutions
  4. 4. Evaluation Metrics
  5. 5. Gathering Actionable Insights
  6. 6. Practicals | Assignments | Case Studies
Section 11
  1. 1. Customer Churn
  2. 2. Sales Forecasting
  3. 3. Census
  4. 4. Predictive Modeling
  5. 5. HR Analytics
  6. 6. Dimensionality Reduction
  7. 7. Housing
  8. 8. Customer Segmentation
  9. 9. Inventory Management
  10. 10. Disease Prediction
  11. 11. Practicals | Assignments | Case Studies
Section 12
  1. 1. Power BI Basics
  2. 2. DAX
  3. 3. Data Visualization with Analytics
  4. 4. Practicals | Assignments | Case Studies
Section 13
  1. 1. Capstone Project or Real Time Project 1
  2. 2. Capstone Project or Real Time Project 2
Section 14
  1. 1. Interview Preparation Sessions by Industry Experts
  2. 2. Mock Interviews
  3. 3. Job Search Strategy
  4. 4. Resume Building
  5. 5. LinkedIn Profile Creation

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Data Analytics Professional Certification

Earn Tutorac's recognized Data Science certificate, showcasing your expertise in data analysis and machine learning.

  • Career Growth

    Unlock high-paying roles and accelerate your growth in the field of data analytics.

  • Real-World Expertise

    Master essential tools like SQL, Python, Tableau, and Power BI through hands-on projects and real-world applications.

  • Global Network

    Join a thriving community of data professionals, industry experts, and like-minded peers from across the globe.

Eligibility and Prerequisites for this Data Analytics course

Prerequisites and Eligibility

  • No strict prerequisites; basic knowledge of Excel and Statistics is recommended
  • Analytical thinking and problem-solving skills are highly beneficial
  • Familiarity with basic programming concepts is helpful but not mandatory
  • Open to recent graduates, career switchers, and professionals looking to upskill
  • Ideal for individuals with a passion for data-driven decision making
  • Suitable for business analysts, IT professionals, and those in non-tech roles aiming for data roles
Who Should Attend Data Analytics Course

Who This Course is For

  • Fresh Graduates
  • Professionals looking to transition to data roles
  • Business Analysts
  • IT professionals seeking upskilling
  • Career switchers with an interest in data
  • Non-tech professionals aiming for data-driven roles
  • Entrepreneurs looking to leverage data for business decisions
  • Managers wanting to enhance data literacy for better decision-making
DATA ANALYTICS BOOTCAMP INSTRUCTORS, AUTHORS AND MENTORS

Meet the Team
That's Invested in Your Success

Sai Prakash

Senior Data Analyst

As a Data Analyst and Trainer with 5+ years of experience, I specialize in data analysis, visualization, and AI tools, equipping learners with industry skills for practical problem-solving and business intelligence enhancement.

LinkedIn Profile

Akshat Sharma

Business Intelligence Analyst

With over a decade of experience in AI, Data Science, and Data Visualization, I offer hands-on training using tools like Python, Excel, and Power BI, focusing on practical, real-world problem-solving skills.

LinkedIn Profile

Akash Maurya

Data Analytics Consultant

With over a decade of experience in AI and data science, I provide engaging, practical training in areas like machine learning, data analysis, and visualization, equipping trainees with essential technical and theoretical skills.

LinkedIn Profile
Got more questions?

Speak with a Learning Advisor.

Job Assistance
Program Journey

Your Path to a Job - Ready Career

  • 01
    01
    Enroll &
    Start
    • Right course selection
    • Easy enrollment, instant access
    • Personalized schedule setup
  • 02
    02
    Complete
    Course
    • Master essential skills
    • Flexible learning at your pace
    • Finish job-ready
  • 03
    03
    Hands -
    On Labs
    • Cloud-based practical labs
    • Real-world skill building
    • Technical expertise development
  • 04
    04
    Real-Time
    Projects
    • Industry-relevant projects
    • Apply knowledge to real scenarios
    • Build an impressive portfolio
  • 05
    05
    Resume & Mock
    Interviews
    • Professional resume crafting
    • Mock interview practice
    • Interview preparation
  • 06
    06
    Placement
    Support
    • Job placement connections
    • Expert hiring guidance
    • Land your dream job

Testimonials

Data Analytics Course Reviews

"Invaluable for starting my career in analytics!"

The hands-on projects using real-world data helped me gain the confidence to apply for Data Analyst roles.

John Miller

28 Years, Austin, Texas

"A perfect career boost!"

The course's focus on practical tools and techniques made it easy to learn. The instructors were excellent, and the projects prepared me for the real world.

Amandeep

29 Years, Kansas City, Missouri

"Short but incredibly impactful!"

With live sessions, exercises, and projects, I quickly built a portfolio that stood out in my job search.

Aaksha Yagnik

27 Years, New Orleans, Louisiana
Data Analytics Program Fee

Tuition Fee

Recommended

Course Training + Placement Assistance

Duration : 4 Months

$1,200

Only
  • Customized Course Training of Your Choice
  • Full job placement support
  • Job based IT training
  • Real-Time Projects & Case Studies
  • Dedicated Placement Manager
  • Resume preparation
  • Mock interviews
  • Pre-Interview Preparation
  • Profile marketing
  • Guaranteed 8-10 Interviews

Placement
Assistance Only

Duration : 3 Months

$799

Only
  • Resume preparation
  • Mock interviews
  • Pre-Interview Preparation
  • Profile marketing
  • Guaranteed 8-10 Interviews
  • Dedicated Placement Manager
  • Soft Skills Development
Team course

Corporate Training

Upskill & Reskill Your Teams

  • Unleash In-Demand Skills Across the Enterprise
  • Align Skills Development with Business Objectives
  • Drive Increased Employee Productivity
  • Leverage Immersive Learning

Career Transformations

With our Data Analytics training and placement program, our learners made their dreams come true!

Bhavna Goyal

Business Intelligence

Data Analyst

Ramesh Gupta

Reporting Analyst

Senior Data Analyst

Lalita Thakur

Junior Data Analyst

Data Scientist

Career Support

Tutorac's Job Assist program offers comprehensive career support to help learners land their dream roles in the tech industry.

  • Dedicated Placement Manager
    Personal career guidance to navigate job opportunities.
  • 50+ Member Placement Team
    A large team focused on getting you placed.
  • Mock Interview Prep
    Practice interviews to boost confidence and performance.
  • Interview Placement Assistance
    Connect with top job openings.
  • Resume Building
    Expert support to create a standout resume.
  • Soft Skills Training
    Enhance communication and teamwork abilities.

Frequently Asked Questions

Data Analytics involves collecting, processing, and analyzing data to make informed decisions. It helps organizations discover trends, make predictions, and improve operations.

Common tools include SQL, Python, R, Tableau, Power BI, Excel, and Hadoop for data collection, analysis, and visualization.

Data analytics empowers businesses to make data-driven decisions, optimize performance, and identify new growth opportunities.

No experience is required, but basic knowledge of Excel and statistics is helpful. The course covers everything from beginner to advanced topics.

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