Data Analytics
Professional Diploma in Data Analytics Using Python
Data analytics isn’t just about numbers; it’s about making informed decisions. Whether you’re a beginner or looking to enhance your existing skills, our course will empower you to drive meaningful change using data. Ready to embark on this exciting journey? Join us at Techno Kaksha and unlock the power of data analytics with Python!.
Course Higlights
Understand the fundamentals of IT infrastructure, networking, and security. Learn about protocols, IP addressing, and troubleshooting techniques. Microsoft Business application.
Dive into Python, a powerful programming language for data manipulation and analysis. Explore libraries like Pandas, NumPy, and Matplotlib for data visualization.
Master SQL to query and manage relational databases. Write efficient SELECT statements, JOINs, and subqueries.
Discover NoSQL databases with a focus on MongoDB. Learn to work with documents, collections, and indexes.
Grasp statistical concepts: mean, median, variance, and standard deviation. Apply statistical methods to analyze data and draw meaningful conclusions.
Excel isn’t just about spreadsheets! Learn advanced features like PivotTables, Power Query, and data modeling. Use Excel as a powerful tool for data cleaning and transformation.
Automate repetitive tasks in Excel using VBA macros. Create custom functions and enhance your productivity.
Visualize data with Power BI, Microsoft’s business intelligence tool. Build interactive dashboards and reports for data-driven decision-making.
Unlock the Power of Data Analytics with Python
Are you ready to dive into the world of data analytics? Look no further! At Techno Kaksha, we offer an immersive and industry-focused Data Analytics using Python course that equips you with the skills to extract valuable insights from data.
Why Choose Our Data Analytics Course?
- Learn from Industry Experts: Our instructors are seasoned professionals with hands-on experience in data analytics. They’ll guide you through real-world scenarios, sharing practical knowledge that goes beyond theory.
- Master Essential Tools: We believe in a holistic approach. In this course, you’ll become proficient in ten essential tools, including Python, Pandas, NumPy, Matplotlib, and more. These tools are the backbone of any successful data analyst.
- Collaborate with Data Industries: We understand that learning doesn’t happen in isolation. That’s why we foster collaboration with data-driven companies. You’ll have opportunities to work on live projects, gaining insights directly from the field.
What You’ll Explore:
- Data Wrangling: Clean, transform, and prepare messy data for analysis.
- Exploratory Data Analysis (EDA): Uncover patterns, relationships, and outliers.
- Statistical Techniques: Understand inferential statistics and hypothesis testing.
- Visualization: Create compelling charts and graphs to communicate findings.
- Machine Learning Basics: Get a taste of predictive modeling.
Skill Covered
- Building Data Pipelines
- Data Analysis with Python
- Data Storytelling with Power BI
- Extract Transform and Load
- Generative AI
- Prompt Engineering
- Regression Analysis
- SQL
- Statistical Analysis using Excel
- Time Series Analysis
