1 / 8

Data-Science-Course-pptx

Unlock your potential with our Data Science Course! Dive into critical areas like Python, Machine Learning, and data analysis through engaging, practical training. Our flexible schedule options and hands-on projects ensure you gain real-world experience. <br>ExcelR - Data Science, Data Analyst Course in Vizag<br>Address: iKushal, 4th floor, Ganta Arcade, 3rd Ln, Tpc Area Office, Opp. Gayatri Xerox, Lakshmi Srinivasam, Dwaraka Nagar, Visakhapatnam, Andhra Pradesh 530016<br>

Amar41
Download Presentation

Data-Science-Course-pptx

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Science Course Overview Unlock the power of data through this comprehensive course, designed to equip you with the foundational knowledge, practical skills, and real-world applications to thrive in the field of data science. by Shifan

  2. Course Introduction Fundamental Concepts Tools & Technologies 1 2 Master popular tools like Python, R, SQL, and data visualization libraries, essential for tackling real-world data challenges. Explore core data science concepts, including data collection, cleaning, analysis, visualization, and machine learning. Hands-on Projects Target Audience 3 4 Gain practical experience by working on real-world data science projects, applying your newfound knowledge to solve industry problems. Suitable for beginners and intermediate learners, students, professionals, and anyone seeking to enhance their data skills.

  3. What is Data Science? Data science is the interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It encompasses various techniques and approaches to analyze, interpret, and visualize data for decision-making and problem-solving.

  4. Fundamental Concepts of Data Science Data Collection Data Analysis The initial step involves gathering data from various sources, such as databases, APIs, sensors, or social media. Applying statistical methods, machine learning algorithms, and data mining techniques to extract meaningful patterns and insights from data. 1 2 3 4 Data Cleaning Data Visualization Involves removing inconsistencies, errors, and missing values to ensure data quality and reliability for analysis. Representing data visually through charts, graphs, and dashboards to communicate findings effectively and facilitate understanding.

  5. Tools and Technologies Used in Data Science Programming Languages Data Visualization Libraries Machine Learning Libraries Python Matplotlib Scikit-learn R Seaborn TensorFlow SQL ggplot2 PyTorch

  6. Hands-on Projects and Real-world Applications Customer Segmentation Divide customers into groups based on their characteristics and behaviors for targeted marketing and personalized experiences. Fraud Detection Identify fraudulent transactions and activities by analyzing patterns and anomalies in financial data. Predictive Maintenance Use data to predict machine failures and optimize maintenance schedules, reducing downtime and costs.

  7. Target Audience Beginners Individuals with little or no prior knowledge of data science who want to acquire foundational skills. Intermediate Learners Individuals with some experience in data science who want to deepen their understanding and broaden their skillset. Students Students interested in data science careers, aspiring to gain practical knowledge and build a portfolio. Professionals Professionals from various industries looking to upskill in data science to enhance their career prospects and gain a competitive edge.

  8. Contact Information ExcelR - Data Science, Data Analyst Course in Vizag Address: iKushal, 4th floor, Ganta Arcade, 3rd Ln, Tpc Area Office, Opp. Gayatri Xerox, Lakshmi Srinivasam, Dwaraka Nagar, Visakhapatnam, Andhra Pradesh 530016 Phone no: 074119 54369 E-mail: enquiry@excelr.com Directions :https://maps.app.goo.gl/4uPApqiuJ3YM7dhaA

More Related