Data Analytics Training Program
Master Data Analytics and Unlock Insights for Business Growth
Gain expertise in analyzing and interpreting data to drive informed business decisions with our Data Analytics Training Program. Learn essential tools like Excel, SQL , Python, and Tableau, and apply statistical techniques and predictive modeling to solve real-world problems.
Why Pursue a Career in Data Analytics?
- High Demand: Data Analytics is one of the fastest-growing career fields across industries.
- Competitive Salaries: Data analysts are highly valued, offering lucrative job opportunities.
- Versatile Skills: Data analytics skills are applicable in finance, healthcare, marketing, and more.
- Data-Driven Decisions: Help organizations gain a competitive edge through actionable insights.
Why Choose Our Training?
- Experienced Trainers: Learn from industry experts with hands-on experience.
- Real-World Projects: Gain practical skills by working on live datasets.
- Comprehensive Curriculum: Covers foundational to advanced analytics techniques.
- Placement Support: Resume building, mock interviews, and job referrals.
- Flexible Learning: Attend online or classroom sessions tailored to your schedule.
Course Synopsis
- Duration: 8 Weeks (Weekday and Weekend Batches Available)
- Mode: Online / Classroom
- Level: Intermediate to Advanced
- Prerequisites:No prior experience required, but basic computer skills are helpful.
Prerequisites
- Basic understanding of computers.
- Interest in data-driven problem-solving.
- No prior programming knowledge is necessary.
Course Content
1. Introduction to Data Analytics
- What is Data Analytics?
- Importance and Applications of Data Analytics
- Data Analytics Tools and Techniques
2. Data Handling with Excel
- Basics of Excel: Functions and Formulas
- Data Cleaning and Preparation
- Advanced Excel for Analytics: Pivot Tables, Charts, and Macros
3. Data Manipulation with SQL
- Introduction to Databases and SQL
- Writing Queries to Extract Data
- Data Filtering, Joins, and Aggregations
- Advanced SQL Concepts: Views, Indexing, and Subqueries
4. Statistical Analysis
- Basics of Descriptive and Inferential Statistics
- Hypothesis Testing and Confidence Intervals
- Probability Distributions and Sampling Techniques
5. Data Visualization
- Fundamentals of Data Visualization
- Creating Dashboards with Tableau and Power BI
- Visualizing Data with Python (Matplotlib, Seaborn)
- Storytelling with Data
6. Programming for Data Analytics (Python Basics)
- Introduction to Python for Analytics
- Libraries for Data Analytics: Pandas, NumPy
- Data Cleaning, Transformation, and Analysis in Python
7. Predictive Analytics
- Introduction to Predictive Modeling
- Regression and Classification Techniques
- Time Series Analysis
- Building Predictive Models in Python
8. Case Studies and Capstone Projects
- Case Study 1: Sales Forecasting for a Retail Business
- Case Study 2: Customer Segmentation for a Marketing Campaign
- Capstone Project: Real-World Data Analysis with Industry-Specific Dataset
Placement Assistance
- Dedicated sessions for resume building and LinkedIn optimization.
- Mock interviews with analytics professionals.
- Job referrals to top companies in analytics-driven sectors.
Who Should Enroll?
- Graduates looking to start a career in data analytics.
- Working professionals transitioning to data-driven roles.
- Entrepreneurs and business owners interested in leveraging data insights.
- IT professionals expanding their skill set.
Certification
Earn a Certificate of Completion and gain confidence to pursue certifications like:
- Microsoft Certified: Data Analyst Associate
- Tableau Desktop Specialist
- Certified Analytics Professional (CAP)
Download Detailed Course Content
Upcoming Batches
- Classroom Batch: Click Here
- Online Batch: Click Here
Enroll Now!
Kickstart your career in Data Analytics Course. Seats are limited
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Sai Prasanna
"The course at SAAG Technologies provided excellent insights into data visualization tools like Tableau and Power BI. I secured a job within three months of completing the course."