Data Science Immersive With Python
Get your hands dirty working with Excel and complex data. Dive into the Python programming language, understand data analysis and statistical modeling using Python, after which you move into machine learning and algorithms.
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Our Process
You will learn the skills needed to skyrocket your career as a data analyst/scientist. You'll have 12 straight weeks of training to predict trends and generate informed predictive models.
You’ll learn the fundamentals of the Python programming language and its usage in analysing complex data. You’ll build and refine machine learning models to predict patterns from data sets and complete hands-on exercises to reinforce the newly learned skills.
You’ll learn the fundamentals of being a true data analyst; you work with a team, sharpen your communication skills and collaborate with members through real-world projects.
UNIT 1
Introduction to Microsoft Excel - Objectives
In this unit, Students learn Microsoft Excel fundamentals, including installation, workbook creation, environment navigation, and the importance of Excel. They explore formulas, functions (arithmetic, text, logical, date), data organization (sorting, filtering, validation), analysis (conditional formatting, Power Query, Power Pivot), and pivot table creation. Practical skills for data management and analysis are gained. Throughout the unit, students gain practical skills in using Microsoft Excel for data management, analysis, and reporting.
Microsoft Excel
UNIT 2
Introduction to SQL
This unit introduces students to SQL, a programming language used for accessing databases. They learn the basics of SQL, including its purpose, types of databases, and concepts of DBMS and RDBMS. Students gain practical skills in creating and managing databases and tables, including inserting records and altering table structures. They also explore SQL statements for selecting columns, updating data, applying constraints, and sorting values. Throughout the unit, students develop a solid foundation in SQL fundamentals for working with databases.
SQL
UNIT 3
Introduction to Power BI
Students will learn how to pre-process and transform data(data cleaning) before creating visually appealing and interactive visualization and dashboards by utilizing business intelligence. As a data analyst/scientist you can convey insights effectively and predict business trends communicating your findings to those who will make better decisions. The role of a data analyst/scientist has become increasingly important as businesses have become more data-driven. They help businesses make sense of the vast amount of data that they collect.
Power BI
UNIT 4
Python Basics
Students delve into Python programming, acquiring a strong foundation in this widely-used language for data analysis. They learn to install Anaconda, explore in-built functions, work with different data types, manipulate strings, use variables and operators, implement loops, and import modules for enhanced functionality. Practical exercises empower students to write Python code proficiently, analyze large datasets, and create visual representations of data.
Python
UNIT 5
Python NumPy
Students delve into NumPy, a vital Python library for numerical data analysis and scientific computing. They gain hands-on experience by importing the library and utilizing array functions. Through practical exercises, they learn to create one-dimensional and two-dimensional arrays, enabling efficient manipulation and analysis of complex numerical data. By mastering NumPy, students acquire essential skills for advanced data analysis, modeling, and scientific computations in Python.
Python
Numpy
UNIT 6
Python Pandas
In this unit, students delve into Pandas, a powerful Python library for data manipulation and analysis. They learn to convert sequences and dictionaries into DataFrame tables using the .DataFrame function. Students gain practical skills in importing files and converting them into DataFrames. They explore various DataFrame operations such as retrieving index and columns, using head and tail methods, accessing specific columns, counting values, summing columns vertically and horizontally, locating values in cells or positions, extracting rows based on conditions, creating columns based on conditions, and utilizing the groupby function.
Python
Pandas
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UNIT 7
Python Plotly
Students delve into Plotly and Plotly Express, Python libraries renowned for interactive data visualization. They acquire practical skills in creating a variety of charts, including bar charts for categorical comparisons, line charts for trend analysis, area charts for cumulative data, pie charts for proportions, and donut charts with a center hole. By mastering Plotly, students unlock the ability to design captivating and interactive visualizations that effectively convey data insights.
Python
Plotly
UNIT 8
Machine Learning Basics
Students will learn how to build predictive models using machine learning to understand and forecast the probability of future events. It is important in a variety of fields including finance, marketing, sales, healthcare, etc. Predictive analytics enables organisations to understand who their customers and prospects are, how to up-sell and cross-sell products and services, and anticipate customer behaviour
ML Model
Where Our Graduates Work
Our talented graduates flourish in leading companies across the globe, making significant contributions to both their personal growth and the organizations they serve. They work in industries ranging from Information technology to Telecommunication, and more.
A World-Class Learning Facility
At Tech Studio Academy, we have created a conducive environment for learning, combining exceptional school structures, inspiring classrooms, and dedicated tutors. We understand that the physical surroundings greatly impact the educational experience, and we strive to provide a nurturing setting that fosters academic growth, creativity, and personal development.
Our classrooms are carefully designed to facilitate effective teaching and learning to enable tutors to deliver dynamic and engaging lessons that captivate students attention and spark their curiosity.
What Our Graduate Say
I came into techStudio Academy with practically no prior knowledge in software development. However, within a few weeks, I was able to grasp the crux of software development and also master the soft skills required for being a software developer. So far so good, the skills acquired have given me a mind-blowing push in my career as a software developer.
JOSEPH DARAMOLA
Frontend Developer
TechStudio Academy has been one of the big push I needed to get in the real world space. I had an immense learning that was really different from the self learning I started with. The learning was fun and there were some internship job opportunities that were presented to us. I got my first gig immediately after the program. Thank you TechStudio for that push I needed.
PETER EDEAWE
Software Developer
I bless the day the Instagram algorithm pop up TechStudio Academy to my news feed. I read through their curriculum and other details about the Bootcamp and I told myself this is the opportunity I've been waiting for. I wasn't disappointed, the environment was well ventilated and conducive, with competent instructors. Here I am today at OT&T Consulting, fulfilling my dreams thanks to TechStudio Academy.
RILWAN AJIBOLA
Software Developer
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FAQs
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