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About the Course
Course Access Duration: 1 year
Course Support: Daily Support
Videos: 90+ videos
Course Material: 100 plus downloadable materials
Projects: 5 projects Assignments guided by a mentor (Equal to an internship).
System requirement: Win 7/Mac/Linux
Access: Mobile/PC/Laptop/Tablet
Certificate: Certificate will be shared at the end of successful completion of the Assignments.
Click on Enroll Now!! to view the Complete Course Curriculum
Modules Covered
FAQ's
How will this course help you ?
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This course will help you in getting an entry level job such as a Data Analyst , Junior Data Scientist , Sports Analyst, Business Analyst, Research Analyst and many more, which will pay you a 6 digit Salary in Top MNC's around the world.
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What is the advantage of taking up this course ?
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At the end of this course you will not just be ready for a data science role, but also be strongly equipped to make a smooth transition into the field of Machine Learning and Artificial Intelligence.Because the base of every Machine Learning model is a strong data analytical skill.
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What will this course equip you with?
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This course will equip you with strong analytical skills required to Read ,Write, Process, Statistically Analyze, Visualize and draw meaningful inferences out of any dateset using Python programming language.Overall this course will give you a great beginning and a strong foundation in the field of Data Analytics.
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How does this course distinguish itself from others ?
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Majority of the courses or books in Data Science are prepared by software programmers without experience in data science, but this course is prepared by professionals having work experience in the field of Analytics. This is an in-depth course and hence a lot of thinking, research and intelligence has gone behind preparation of every single video. By learning from this course your need for coding during data analysis will get cut down by 30% and thus reducing your cognitive load and hence adding to your efficiency at work which will make you stand out among your peers.
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Will this course help you to get a job in any vertical ?
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Yes, since every vertical is into data science and since data science is a globally in demand job , at the end of this course you will be eligible to apply for every data science role .
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What is the unique feature of this Course??
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Human Concentration span is around 30 mins and therefore we have made sure that the average duration of every video is between 20-30 mins. Almost every topic in this course is covered between 20-30 mins.
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Will you be getting placement assistance from us ??
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We are not into placements but we do keep track of the students performance in the course and guide our students towards companies who approach us.
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What You will learn ?
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Enrich your Resume with in-demand Skills and stay ahead of your competition.
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Learn efficient Python methods that would cut down your coding time by 40%.
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Mastering the Art of Data Analysis, Data Automation, Data Wrangling, and Advanced Data Visualization using Python.
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Unlock the power of Automation Skills to become Smart, Productive and Irreplaceable at your work.
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Gain foundations of Probability and Statistics Essential for an Expert Data Analyst.
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Transition today into Data Analyst, Financial Analyst, Business Analyst and Similar in-demand roles.
Welcome to the Comprehensive Advanced Data Analytics Course, your definitive guide to mastering the essential techniques and tools required for cutting-edge data analysis. This course is meticulously designed for data analysts, business intelligence professionals, and those pursuing masters and advanced careers in data science and analytics. We emphasize practical, real-world applications, moving beyond theory to demonstrate how advanced analytics can solve complex business problems and uncover valuable insights. This isn't just about numbers; it's about transforming data into strategic decisions. Join us to elevate your analytical skills and thrive in the dynamic world of advanced analytics.
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Introduction to Python Programming for Data Science :
Embark on your journey with an in-depth introduction to Anaconda and Jupyter Notebook—essential platforms throughout the course. Dive into Python programming, the backbone of modern data analytics, data science, and Machine Learning. Our project-based learning approach immediately applies theory to practice, transforming raw data into actionable insights. By mastering these tools, you'll confidently write Python code relevant to both Data Science and Machine Learning, preparing you for complex data analysis tasks and establishing a robust foundation for your career in Machine Learning.
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Introduction to Data Visualization using Matplotlib :
Explore data visualization using the Matplotlib module. Simplify complex concepts through clear examples, building a strong foundation in transforming data into impactful insights. Visual representations play a pivotal role in data analytics, data science, and Machine Learning, enhancing your ability to communicate findings effectively. By mastering Matplotlib, you'll elevate your skills to drive decisions based on compelling data-driven insights, distinguishing yourself in the competitive field of Data Science and Machine Learning.
Advanced Numerical Data Structure using Numpy :
Delve into NumPy, the cornerstone of numerical computing in Python, essential for fast, efficient data analysis. Master the manipulation of arrays and matrices, pivotal in handling and analyzing large datasets. Our practical approach ensures quick comprehension and immediate application, empowering you to turn raw data into valuable insights. Proficiency in NumPy is critical for precise data analysis, where speed and accuracy are paramount, positioning you as a top-tier data analyst in both Data Science and Machine Learning.
Advanced Data Manipulation using Pandas :
Master Pandas, a game-changing library for data manipulation and analysis in Python. Navigate dataframes and series with ease, cleaning, filtering, and transforming data for meaningful analysis. Hands-on exercises reveal Pandas practical benefits, enabling you to derive actionable insights effortlessly from complex datasets. Streamline your data analysis workflow with Pandas, enhancing efficiency and accuracy in data analytics—a vital asset in today's competitive landscape of Data Science and Machine Learning.
Handling Dates in Datasets using Pandas :
Dates are crucial in data analytics, data science, and Machine Learning, providing temporal context that enhances insights. Learn to parse, manipulate, and analyze dates effectively with Pandas, transforming raw data into valuable time series. This skill uncovers trends and patterns over time, enriching your data analyses with actionable insights. Mastery of date handling in Pandas distinguishes your data analysis capabilities, essential for success in the fast-paced world of both Data Science and Machine Learning.
Essentials of Probability and Statistics using Scipy :
Probability and statistics underpin precise outcome prediction, risk assessment, and strategic decision-making in data analytics and Machine Learning. Explore uncertainty assessment through probability theory, essential for robust predictions and effective risk management. Statistics empowers analysts to uncover trends and correlations critical for optimizing processes and gaining competitive advantages in data analysis. Each concept is reinforced through practical applications using Python programming, ensuring you can interpret data objectively and drive informed strategies in both Data Science and Machine Learning.
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Exploratory Data Analysis (EDA) using Seaborn :
Master Exploratory Data Analysis (EDA) using Seaborn—a versatile Python library. Analyze diverse datasets—from classroom dynamics to IMD rainfall patterns, IPL player performances, and real estate market trends. Seaborn's visualizations reveal critical insights that guide data-driven decisions across education, climate forecasting, sports management, and real estate investments. Proficiency in EDA sharpens analytical skills, extracting actionable insights for competitive advantage in today's dynamic markets of Data Science and Machine Learning.
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What sets this course apart from other Data Science courses?
In this course, you will learn Data Analytics, Data Science, and fundamentals for Machine Learning in just under 24 hours, meticulously designed by an expert with global credentials and experience in Data Analytics and Machine Learning. Engineered for optimal learning efficiency, the "Advanced Data Analytics Course" offers concise videos and focused content that maximize your understanding. You'll master the essentials of both Data Science and Machine Learning swiftly and effectively, gaining practical skills that are immediately applicable. Whether you're starting from scratch or aiming to enhance your expertise, this course ensures you acquire in-demand skills in the shortest possible time, setting you on a path to excel in the dynamic fields of data analytics, data science, and Machine Learning.
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Happy Learning!!!