Course overview
A strong foundation in Data Analysis is crucial for launching a successful career in this field. Data analysis training courses typically begin by building this foundation. You'll learn essential skills like data wrangling and cleaning with tools like Excel and SQL. Grasping statistical concepts like correlation and regression will equip you to uncover patterns and trends in data. Finally, this course will introduce you to data visualization, a key skill for communicating your findings in a clear and impactful way.
- Data Collection & Preparation: Data Analysis equips you with the ability to identify various sources of data relevant to the analysis and organize them. Helps understand different types of data (structured, unstructured, and semi-structured) and the right methods to collect each. Learn about ethical considerations and data privacy laws in Nepal and on a global scale, to make sure data is collected responsibly and legally.
- Data Exploration & Wrangling: Learn about the various techniques to uncover patterns from Descriptive Statistics to Data visualization, to measure tendencies and create visualization to identify patterns and trends in data. Using methods and techniques like reshaping data, combining data, and feature engineering to reshape data and create new features from existing data to focus on domain-specific transformations relevant to the Nepali industry.
- Understanding Data with Statistics: Grasp the key statistical concepts like probability theory, hypothesis testing, and correlation analysis to enhance your analytical skill set and for creating better predictive modeling. Calculating and interpreting confidence intervals to estimate population parameters from sample data. Learn Sampling methods about different sampling techniques and their significance to represent data properly.
Get a better understanding of practical applications by analyzing real-world world data from case studies and projects to apply statistical concepts and derive meaningful insights.
Data Manipulation with Python:
Mastering this course of data analytics requires getting geared with the essential skills in Python and Excel for data manipulation, analysis, and visualization. This course covers everything from foundational concepts to real-world applications in the Nepali context with the use of Python with the proper combination of using Python for data manipulation and preparing to excel in data-driven roles, one is bound to empower local businesses or large-scale businesses with professional data insights.
- Python Syntax and Basics: Introduction to the basics of Python and advantages of using it for data analysis and learning about Python syntax including comments, indentation, variables, and basic commands. Master the use of like if, else if, and else statements to control the flow of your programs. Explore more advanced data structures like stacks, queues, and linked lists.
- Essential Python Libraries for Data Analysis: Understand the basic building blocks of Pandas, data frames, and series for data manipulation and import data from various sources (Excel, CSV, SQL databases) into Pandas’ data frames. Techniques for selecting, filtering, and extracting meaningful data insights. Understanding Numpy arrays and matrices for the ease of numerical computation and to perform element-wise operations.
- Data Cleaning & Transformation with Python: This helps to handle missing data with the use of Pandas and Numpy and also identifies and removes data duplicates to ensure data quality. Convert data types to ensure compatibility and accurate analysis. Reshape data frames to prepare data for analysis by the use of techniques such as pivoting, melting, and reshaping. Create new features from existing data to enhance the models tailored to specific business scenarios.
Real World Applications
With this course, you can unlock the ability to gather market data and use data analysis to identify the current trends or seasonal patterns in the market data to attract clients and customers according to their fields of interest and ongoing trends in the market. Applying predictive modeling techniques to forecast future market trends based on historical data, gives you a lot of power in the market as a data analyst keeping you in demand in the job market as well. Having the power to understand the needs and requirements of customers with the help of data analysis, you can extract the insights of customers improve customer segmentation, and apply marketing strategies accordingly to the needs of the customers. This can not only help keep the customer relationship at its best but also help build leads in the future for attracting new customers. Data analysis also helps build financial models for budgeting and forecasting future financial performances with the help of existing financial data with comparable company analysis and precedent transactions. This use of data analysis to identify and assess financial risk can mitigate future risks and ensure the financial stability of a company. Making data analysis a very valuable asset for the company.
Career Opportunities & Business Impact
Gain the most in-demand data analysis skills to land positions in World's expanding industry. This course explains how data analysis can help businesses become significantly more competitive and expand by enabling them to make data-driven, well-informed choices. Investigate several options to use your knowledge of data analysis for remote or freelance employment, providing you with a flexible and exciting career path that doesn't depend on where you live. Acquire knowledge of worldwide trends and data analysis best practices as well, to establish yourself as a useful asset in domestic and foreign markets. There is a very high demand for a Data Analyst in the current world market and learning from this course provides you the best career path to possibly take in the Nepali tech industry.
Teaching Methodology
- Structured curriculum for beginners.
- A combination of lectures, hands-on laboratory activities, and case studies.
- Group discussions that allow a more engaged and productive learning experience.
- Flexible options: either online or in-person delivery.
Prerequisites
- Good command of the English language.
- Good knowledge of Basic Computer Skills.
- Basic Knowledge of any programming language or Python would be a plus.
- Understanding of Software and Software installation.
With all this knowledge of data analysis and its advantages in the context of today's Data related world, you are still one step away from getting your foot on this glorious path with passionate teaching guiding you. Visit TechAxis to Register NOW! To get enrolled in this thrilling and beneficial course of learning Data Analytics at the Best IT institute in Nepal.
